Python Developer Jobs in Egypt

Roles & Responsibilities About The Role As a Dev Manager at Flairs Tech, you will lead the engineering organization that delivers our AI powered call-receptionist platform for restaurants. Your mission is to foster a healthy, high-performing development culture, orchestrate the full software delivery life cycle from roadmap planning alongside leadership through release and post production monitoring and ensure our solutions are scalable, and secure. You will combine strong technical acumen with empathetic people leadership to guide multiple cross-functional squads, align technical strategy with product goals, and champion continuous improvement across processes, tooling, and code quality. What You'll DoPeople & Team Leadership Help Hire, onboard, mentor, and retain high-calibre engineers; conduct regular 1-on-1s and career-growth planning. Foster a culture of ownership, and continuous learning. Delivery & Process Ownership Own helping with sprint planning, backlog grooming, and release management, ensuring predictable, high-quality output. Track velocity and capacity, optimize workflows, and champion lean/agile best practices. Internal Operational Systems Build, and maintain the tooling and integrations that drive customer support, billing, onboarding, and account-management workflows (e.g., Intercom, Stripe, subscription management, usage metering). Partner with Support and Finance leads to translate process pain points into elegant, automated solutions, instrument KPIs (CSAT, first-reply time, invoice accuracy), and iterate for continuous improvement. Technical Oversight Help guide architectural decisions for our Type Script / Next.js frontend, Python services, and AWS infrastructure (Lambda, ECS, API Gateway, Cloud Watch, etc.). Lead code-review standards, enforce automated testing (unit, integration, e2e), and uphold SOC 2 requirements. Operational Excellence & Dev Ops Evolve CI/CD pipelines, observability dashboards (Sentry, Cloud Watch), and on-call rotations to ensure 99.9 % uptime. Champion performance, cost-optimization, and security hardening across services. Strategic Planning & Stakeholder Communication Provide clear status updates, KPIs, and risk assessments to executives and board-level stakeholders. Contribute to long-term product and platform strategy, capacity planning, and budget management. What You Bring Leadership Experience: 3 + years managing software-engineering teams, preferably in fast-paced startups or Saa S environments. Technical Depth: Hands-on background with modern web stacks (Type Script/React/Next.js), cloud architecture (AWS), and microservices. Process Mastery: Track record of implementing and refining agile/Scrum or Kanban frameworks that balance speed with quality. Operational Systems Fluency: Proven success automating support, billing, or similar back-office workflows via Saa S integrations and custom tooling. Communication Skills: Ability to translate complex technical concepts for non-technical audiences and inspire cross-team alignment. Analytical & Strategic Thinking: Data-driven approach to prioritization, resource allocation, and continuous improvement. Mentorship & Empathy: Passion for coaching engineers, giving actionable feedback, and building inclusive, high-trust teams. Adaptability: Comfort navigating ambiguity and changing priorities inherent to a high-growth startup. Bonus Points For Experience with AI products, speech technology, voice agents Prior stewardship of SOC 2, PCI-DSS, or other compliance initiatives. Dev Ops chops (Terraform, Kubernetes, Git Hub Actions) and performance-tuning expertise. Familiarity with observability stacks (Open Telemetry, Datadog) and cost-optimization strategies.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Connect to your career at Deloitte Deloitte, established globally in 1845, is the world s largest and leading professional services firm, providing Audit &amp; Assurance, Tax &amp; Legal and Consulting and related services to public and private clients spanning multiple industries. Present in more than 150 countries, Deloitte is distinct in its ability to help clients solve their most complex problems, from strategy to implementation. Deloitte innovation hub (DIH) is a strategic initiative established to support our ambition to become the leading business transformation partner of choice for our clients and to expand and scale our delivery footprint across EMEA. With access to a scaled, diverse, highly skilled, motivated, and engaged workforce, DIH is delivering complex technical solutions for clients most complex business problems, across portfolios that include Strategy &amp; Transactions , Customer , Engineering, AI &amp; Data, Enterprise, Technology &amp; Performance and Cyber . DIH is aiming to become the destination for top talents in Egypt for a long, exciting career. We invest in outstanding people of diverse talents and backgrounds and empower them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. Our organization has grown in scale and diversity, providing services across the region, with our shared culture remaining the same. We aim to help clients realize their ambitions, make a positive difference in society, and maximize the success of our people. This drive fuels the commitment and humanity that run deep through our every action. Connect to your opportunity Work with a team to realize the ultimate solution for infrastructure and network configuration/automation and deployment for AWS/GCP/Azure Build and innovate to replace large-scale manual operating processes with scripts and applications Contribute to build and deploy automation support (CI/CD) in AWS/GCP/Azure Develop infrastructure as code and testable infrastructure in AWS/GCP/Azure Develop appropriate metrics to demonstrate performance and operational efficiency by also thinking on how to script and automate better (value) chain monitoring and (chain) testing Drive analysis, design and development of automation tools for configuration, provisioning, deployment, development, and operational tasks Work cross-functionally with various App DevOps teams to test and drive amazing results in an international context Design automated systems management solutions with self-repair/healing as the goal Focus on reducing technical lead time for infra and network for all DevOps teams Provide huge positive customer impact by reducing downtime and costs Connect to your skills and professional experience 3+ years experience with cloud hyperscale s, such as GCP, AWS or Azure. Experience in cloud implementation such as application development and infrastructure as code (Terraform, AWS SAM, CloudFormation) Confident with key DevOps practices - CICD, IaaS, Containerization and Deployment pipelines Provide expertise in one or more of the following areas: Sysadmin, IaaS, Full Stack development, virtualization/containerization, environments and configuration management Experience with python/Bash/Go scripting Understand the importance of Observability and have built systems to focus on early insight into issues using monitoring and alerting Pioneer DevOps/SRE best practices with a curious mind and an ability to mentor junior employees Able to design and build frameworks or toolsets to be reused by the wider engineering community Extensive experience and expertise across the Splunk platform, its architecture and distributed components including premium apps (ITSI, Enterprise Security, Phantom, etc ) Experience with data streaming technologies Experience of agile methodologies and associated toolsets and code repositories Strong collaboration and stakeholder engagement skills Self-motivated and organised person High level of attention to detail, the ability to think architecturally at big picture and able to translate this into practical implementation Desirable: Cloud certified with experience Required strong technical skills and demonstrated experience in each of the following areas: Excellent communication (written and oral) and interpersonal skills Deliver right solution architecture, automation and technology choices starting from experimentation and proof of concept phases of new analytical models Demonstrated teamwork and collaboration in a professional setting Flexible and willingness to work on different projects and programming Connect to your service line - Consulting Distinctive thinking, deep expertise, and collaborative work. That s what connects us. That s what makes us Deloitte. If you want to help solve some of the biggest challenges around, join us. Together, we ll make an impact on that matters. Personal independence Regulation and controls are standard practice in our industry and Deloitte is no exception. These controls provide important legal protection for both you and the firm.&nbsp;</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>3+ years experience with cloud hyperscale s, such as GCP, AWS or Azure.</li><li>Experience in cloud implementation such as application development and infrastructure as code (Terraform, AWS SAM, CloudFormation)</li><li>Confident with key DevOps practices - CICD, IaaS, Containerization and Deployment pipelines</li><li>Provide expertise in one or more of the following areas: Sysadmin, IaaS, Full Stack development, virtualization/containerization, environments and configuration management</li><li>Experience with python/Bash/Go scripting</li><li>Understand the importance of Observability and have built systems to focus on early insight into issues using monitoring and alerting</li><li>Pioneer DevOps/SRE best practices with a curious mind and an ability to mentor junior employees</li><li>Able to design and build frameworks or toolsets to be reused by the wider engineering community</li><li>Extensive experience and expertise across the Splunk platform, its architecture and distributed components including premium apps (ITSI, Enterprise Security, Phantom, etc )</li><li>Experience with data streaming technologies</li><li>Experience of agile methodologies and associated toolsets and code repositories</li><li>Strong collaboration and stakeholder engagement skills</li><li>Self-motivated and organised person</li><li>High level of attention to detail, the ability to think architecturally at big picture and able to translate this into practical implementation</li><li>Desirable: Cloud certified with experience</li><li>Required strong technical skills and demonstrated experience in each of the following areas:</li><li>Excellent communication (written and oral) and interpersonal skills</li><li>Deliver right solution architecture, automation and technology choices starting from experimentation and proof of concept phases of new analytical models</li><li>Demonstrated teamwork and collaboration in a professional setting</li><li>Flexible and willingness to work on different projects and programming</li></ul><p></p></section>

Technical Support Engineer About Intellias With over 20 years of market experience, Intellias brings together technologists, creators, and innovators across Europe, North and Latin America, and the Middle East. Join our international team and help solve tomorrow's most advanced technology challenges while working with global enterprises and Fortune 500 companies. Project Overview As a Technical Support Engineer, you will join a cross-functional Support Team responsible for ensuring the reliability and operational excellence of technology solutions delivered for leading global clients across industries including Mobility, Retail, Financial Services & Insurance, Travel & Hospitality, Telecom & Media, and more. In this customer-facing role, you will investigate technical incidents, resolve complex issues, collaborate with engineering teams, and contribute to maintaining high service quality while delivering an exceptional customer experience in a 24/7 support environment. Requirements1+ years of experience in a Technical Support, Application Support, or IT Support role Good understanding of software applications, databases, operating systems, and networking fundamentals Strong troubleshooting and analytical problem-solving skills Experience working with Windows and/or Linux operating systems Basic understanding of cloud platforms and cloud security best practices Customer-oriented mindset with a passion for delivering excellent support Strong verbal and written communication skills with both technical and non-technical stakeholders Experience managing multiple support cases while meeting SLA requirements Familiarity with Incident Management and Problem Management processes Experience using ticketing systems such as Jira, Service Now, Zendesk, or similar platforms Experience documenting incidents, troubleshooting steps, and knowledge base articles Ability to work independently as well as collaboratively within distributed teams Continuous learning mindset and willingness to adopt new technologies Availability to work in a 24/7 shift rotation Responsibilities Respond to customer incidents through established communication channels Investigate, troubleshoot, and resolve real-time technical issues Serve as the first point of contact for users, providing professional and timely support Provide technical guidance and consultation to customers Escalate complex or out-of-scope issues to appropriate engineering teams Track incidents through resolution while ensuring SLA compliance Monitor enterprise systems to maintain business continuity Analyze incident trends and contribute to continuous service improvements Collect and report incident metrics and operational statistics Participate in Major Incident Management when required Ensure Root Cause Analysis (RCA) is completed and documented for critical incidents Coordinate with external vendors when necessary Maintain accurate support documentation and contribute to the knowledge base Continuously identify opportunities to improve support processes and operational efficiency Deliver a high-quality customer experience by providing reliable, responsive, and effective technical support Preferred Qualifications Experience supporting cloud-based applications or Saa S platforms Familiarity with monitoring and logging tools Basic scripting knowledge (Bash, Power Shell, Python, etc.) Understanding of ITIL principles and service management best practices Experience working in enterprise or international support environments Why Join Intellias? Work with Fortune 500 customers on innovative technology solutions International and collaborative work environment Opportunities for continuous learning and career growth Exposure to modern cloud technologies and enterprise-scale systems Dynamic, supportive, and innovation-driven culture Opportunity to make a meaningful impact while working with global engineering teams

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Connect to your career at Deloitte. Deloitte , established globally in 1845, is the world s largest and leading professional services firm, providing audit and assurance, tax, consulting, financial advisory, and risk advisory services to public and private clients spanning multiple industries. We are present in more than 150 countries, and as the world's largest management consulting business, Deloitte is distinct in its ability to help clients solve their most complex problems, from strategy to implementation. Deloitte innovation hub (DIH) is a strategic initiative/priority established by Deloitte North &amp; South Europe (NSE) to support our ambition to become the leading business transformation partner of choice for our clients and to expand and scale our delivery footprint across EMEA. With access to a scaled, diverse, highly skilled, motivated, and engaged workforce, DIH is delivering complex technical solutions for clients most complex business problems, across Portfolios that include Strategy &amp; Transactions , Customer , Engineering, AI &amp; Data, Enterprise, Technology &amp; Performance and Cyber . DIH is aiming to become the destination for top talents in Egypt for a long, exciting career. We invest in outstanding people of diverse talents and backgrounds and empower them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. Our organization has grown in scale and diversity, providing services across the region, with our shared culture remaining the same. We aim to help clients realize their ambitions, make a positive difference in society, and maximize the success of our people. This drive fuels the commitment and humanity that run deep through our every action. Connect to your opportunity. Ready to launch your career at the intersection of pharmaceutical manufacturing and cutting-edge technology? Deloitte is seeking a Business Analyst to join our Supply Chain "Manufacturing" practice in Cairo. This is an exciting opportunity for ambitious graduates to dive into tech-enabled projects, with a specialized focus on implementing Manufacturing Execution Systems (MES) for leading pharmaceutical clients across the globe. You'll play a vital role in driving digital transformation within the pharmaceutical sector, optimizing production processes, and delivering tangible impact from day one. This hands-on role focuses specifically on MES implementations systems that are critical to ensuring compliance, traceability, and operational excellence in pharmaceutical manufacturing. You'll collaborate with a dynamic team of experienced engineers and tech specialists, learning to analyze complex pharmaceutical manufacturing processes, identify areas for innovation, and design smart MES solutions. Working directly with clients, you'll translate their operational challenges into opportunities for efficiency, compliance, and growth through advanced Manufacturing Execution Systems. If you're eager to make a real difference in the pharmaceutical industry and shape the future of smart manufacturing, this is your chance to learn, grow, and contribute. Connect to your skills and professional experience. You need: A Bachelor's degree in Pharmaceutical Engineering , Pharmaceuticals , Chemical Engineering , Biomedical Engineering , or a closely related discipline, with graduation in 2025 or 2026. 0 3 years of professional experience in a technical or techno-functional role, ideally within pharmaceutical manufacturing, data analytics, or consulting. A strong academic record. Proficiency in English, both written and spoken, is essential. A demonstrated strong interest in the pharmaceutical or life sciences industry, ideally with relevant coursework, projects, or internships in pharmaceutical manufacturing or operations. An eagerness to learn about pharmaceutical manufacturing processes, Manufacturing Execution Systems (MES), information systems, and data analytics in an operational context. Being passionate about the latest technology trends and developments in pharmaceutical manufacturing. Excellent analytical and problem-solving skills. Strong communication and interpersonal skills, with the ability to articulate ideas clearly to both technical and non-technical stakeholders. A proactive attitude and the ability to work effectively in a collaborative team environment. Preferred Skills: Any exposure to Manufacturing Execution Systems (MES) concepts, pharmaceutical manufacturing workflows, or factory automation during your studies. Understanding of pharmaceutical regulatory requirements (e.g., GMP, FDA regulations) and their impact on manufacturing systems. Experience with data analysis and AI tools (e.g., Excel, basic programming languages like Python or R, genAI) from academic projects. An understanding of data management and information technology principles. Familiarity with pharmaceutical supply chain management and batch traceability concepts. Required Software Skills: Proficiency in Microsoft tools (Word, Excel, PowerPoint, Outlook, OneNote, OneDrive, Teams). Connect to your service line Technology &amp; Transformation. Distinctive thinking, deep expertise, and collaborative working. That s what connects us. That s what makes us Deloitte. If you want to help solve some of the biggest challenges around, join us. Together, we ll make an impact that matters. Connect to your Industry. What attracted me to Deloitte were the endless opportunities and the collective experience of other like-minded individuals.&nbsp;</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>A Bachelor's degree in Pharmaceutical Engineering, Pharmaceuticals, Chemical Engineering, Biomedical Engineering, or a closely related discipline, with graduation in 2025 or 2026.</li><li>0-3 years of professional experience in a technical or techno-functional role, ideally within pharmaceutical manufacturing, data analytics, or consulting.</li><li>A strong academic record.</li><li>Proficiency in English, both written and spoken, is essential.</li><li>A demonstrated strong interest in the pharmaceutical or life sciences industry, ideally with relevant coursework, projects, or internships in pharmaceutical manufacturing or operations.</li><li>An eagerness to learn about pharmaceutical manufacturing processes, Manufacturing Execution Systems (MES), information systems, and data analytics in an operational context.</li><li>Being passionate about the latest technology trends and developments in pharmaceutical manufacturing.</li><li>Excellent analytical and problem-solving skills.</li><li>Strong communication and interpersonal skills, with the ability to articulate ideas clearly to both technical and non-technical stakeholders.</li><li>A proactive attitude and the ability to work effectively in a collaborative team environment.</li><li>Preferred Skills: Any exposure to Manufacturing Execution Systems (MES) concepts, pharmaceutical manufacturing workflows, or factory automation during your studies.</li><li>Understanding of pharmaceutical regulatory requirements (e.g., GMP, FDA regulations) and their impact on manufacturing systems.</li><li>Experience with data analysis and AI tools (e.g., Excel, basic programming languages like Python or R, genAI) from academic projects.</li><li>An understanding of data management and information technology principles.</li><li>Familiarity with pharmaceutical supply chain management and batch traceability concepts.</li><li>Required Software Skills: Proficiency in Microsoft tools (Word, Excel, PowerPoint, Outlook, OneNote, OneDrive, Teams).</li></ul><p></p></section>

Are you ready for exciting development opportunities with massive growth potential? Do you thrive in a fast-paced environment, embrace large responsibilities, and dream of working on cutting-edge technologies with a super bright team?<br><br>As a leading provider of high-performance mixed-signal IPs integrated into many of today's most exciting applications, such as smart phones, automotives, IoT, wearables, and sensors, among many others. We seek the brightest minds to work hands-on with cutting-edge technologies alongside our world-class engineers.<br><br>Job Description<br><br>Responsible for micro-architecture specification and RTL design of modules in Verilog Responsible for project direction and planning, mentoring and technical guidance of the team. Lead development teams in the development of digital controllers through the full project lifecycle, including analysis, design, development, verification, testing and implementation. Leading verification team to develop advanced test plans. Hardware verification of the digital module using cutting edge FPGA kits. Provide technical leadership on one or more projects Solve complex problems which may be multidisciplinary or require an in-depth analysis of variable factors Defining project-specific best practices, and lead code reviews. Identifying opportunities for improving productivity and reducing errors. Own delivery schedules, resource planning, and risk mitigation across concurrent projects Engage with customers and partners on IP deliverables, verification collateral, and integration support Represent the team in program reviews, milestone sign-offs, and customer-facing discussions Foster a culture of technical excellence, peer review, knowledge sharing, and continuous improvement Drive team motivation through clear vision-setting, timely recognition of achievements, and visible support during critical project phases <br><br>Qualifications<br><br>Essential Qualifications and Experience: <br><br>Bachelor’s degree of: Electronics/Computer Engineering. Years of experience in the same field: 12+ Years of experience in VLSI Digital Design/Verification, with 3-5+ years in a people management or technical lead role Proven track record of taking IPs from spec to silicon-proven delivery Strong knowledge of Verilog RTL design/simulation. Proficiency in ASIC/FPGA design flows including RTL Synthesis, Place and Route, and Timing Sign-off. Strong knowledge of clock domain crossing (CDC) and reset domain crossing (RDC) techniques Experience with System Verilog, UVM, RTL/gate verification techniques Solid understanding of functional and code coverage metrics and closure Strong knowledge of Python/Perl/TCL/Shell scripting languages Experience working with global teams Desirable Qualifications and Experience: Knowledge of high level synthesis techniques and C-simulation/validation Masters Degree is a plus.<br><br>Additional Information<br><br>Life at Mixel<br><br>At Mixel, a Silvaco Company, We Believe In Empowering Our People And Meeting Them Where They Are In Their Careers. Our Total Rewards Package Is Designed To Reflect The Local Culture And Community Where Our Employees Live And Work — Because We Know Success Starts With Feeling Valued And Supported. Our People Are Our Greatest Strength. We Also Believe In a Pay-for-performance Philosophy — Rewarding Impact, Recognizing Achievements, And Providing Security For The Future. Here Are Some Of The Key Highlights<br><br> Competitive pay Long-term incentive plan awards (RSUs) Health benefits Paid holidays and time off Various learning and leadership opportunities

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About Valleysoft Valleysoft is an IT services provider delivering enterprise technology, application development, process management, and IT support solutions to clients worldwide.<br> Operating across the Information Technology and Services sector, the company partners with organizations on complex digital transformation initiatives and business-critical systems that support day-to-day operations and long-term growth.<br> Job Summary The Data Engineer (Data Integration) will be responsible for designing, developing, and maintaining enterprise data integration solutions that enable the efficient movement of data from operational and external source systems into the business intelligence and analytics environment.<br> The role requires strong expertise in ETL development, data integration, data transformation, and data quality using enterprise integration tools such as Informatica, IBM DataStage, or Ab Initio.<br> This position is an on-site role based at the Administrative Control Authority (ACA) in the New Administrative Capital.<br> Key Responsibilities Design, develop, and maintain enterprise data integration and ETL solutions.<br> Build Extract, Transform, and Load (ETL) processes to integrate data from multiple operational and external source systems.<br> Develop data mappings, transformation logic, workflows, and reusable integration components.<br> Ensure data quality, integrity, consistency, and completeness throughout the data integration lifecycle.<br> Monitor, troubleshoot, and optimize ETL jobs for performance, scalability, and reliability.<br> Collaborate with business analysts, data architects, BI developers, and application teams to understand data requirements.<br> Support data migration, reconciliation, validation, and production deployments.<br> Participate in data modeling, data profiling, and metadata management activities.<br> Develop and maintain technical documentation, ETL specifications, and operational procedures.<br> Support production issues, root cause analysis, and continuous improvement initiatives.<br> Requirements Bachelor's degree in Computer Science, Information Technology, Information Systems, Engineering, or a related field.<br> Relevant certifications in Informatica, IBM DataStage, or other data integration technologies are a plus.<br> 7+ years of experience in Data Engineering, Data Integration, or ETL Development.<br> Proven experience delivering enterprise-scale data integration projects.<br> Hands-on experience with at least one leading ETL tool such as Informatica PowerCenter, IBM DataStage, or Ab Initio.<br> Experience working with large-scale enterprise data warehouse or business intelligence environments.<br> Must-Have Requirements Min 3 years of experience in Data Engineering or Data Integration.<br> Strong hands-on experience with Informatica PowerCenter, IBM DataStage, or Ab Initio.<br> Strong knowledge of ETL design, development, and optimization.<br> Experience with SQL and relational database management systems such as Oracle, SQL Server, or PostgreSQL.<br> Experience working with Data Warehousing and Business Intelligence environments.<br> Strong understanding of data integration architecture, data mapping, transformation, and data validation.<br> Experience with performance tuning and troubleshooting ETL workflows.<br> Knowledge of data quality, data governance, and metadata management principles.<br> Excellent analytical, problem-solving, and communication skills.<br> Ability to work effectively in a collaborative, cross-functional environment.<br> Fluent in English, both written and spoken.<br> Good-to-Have Requirements Experience with cloud-based data integration platforms (Azure, AWS, or Google Cloud).<br> Familiarity with Big Data technologies such as Hadoop or Spark.<br> Experience with Python or Shell scripting for ETL automation.<br> Knowledge of CI/CD pipelines and DevOps practices for data engineering.<br> Experience in government, financial services, or large enterprise environments.<br> Experience with data governance frameworks and enterprise data management.<br></span> </div>

Company Overview:<br>Dar, the founding member of the Sidara group, is an international multidisciplinary consulting organization specializing in engineering, architecture, planning, environment, project management, facilities management, and economics. Sidara operates in 60 countries with 20,500 professionals, Dar connects people, places, and communities through innovative solutions to the world's most complex challenges. We deliver projects from inception through completion, embracing challenges to empower communities worldwide. Learn more at www.dar.com.<br>Our Vision and Values:<br>We aspire to be the chosen home of those with a gift for crafting solutions that empower people and an unwavering passion for learning and innovation. Our core values shape our culture and guide our decision-making. We are committed to:<br>Excellence Responsibility Empowerment Connectivity Courage<br>About the Role:<br> We are seeking a Senior Geotechnical Engineer with strong expertise in the design, analysis, and implementation of dewatering systems for projects of varying scale—from small infrastructure works and temporary excavations to large-scale deep foundation and port developments. The ideal candidate will demonstrate advanced technical capabilities, practical field experience, and the ability to lead multidisciplinary coordination to ensure the safe and efficient control of groundwater conditions across complex geotechnical environments.<br> Responsibilities:<br> • Lead the design, assessment, and optimization of dewatering systems for shallow and deep excavations, tunnels, shafts, marine works, and large-scale infrastructure. • Develop dewatering strategies including wellpoint systems, deep wells, cutoff walls, recharge systems, and combined groundwater control solutions. • Conduct groundwater seepage analysis, drawdown predictions, and soil–water interaction assessments using analytical or numerical methods. • Review and interpret hydrogeological and geotechnical investigation data, including pump tests, permeability tests, and groundwater monitoring results. • Prepare/review dewatering design reports, method statements, tender documents, and technical specifications. • Provide technical input during construction, including troubleshooting, performance verification, and evaluation of monitoring data. • Coordinate with geotechnical, structural, marine, and construction teams to integrate dewatering solutions into overall project design. • Mentor junior engineers and support internal capability-building in groundwater control and hydrogeology. • Ensure compliance with industry standards, project requirements, and local regulatory frameworks related to groundwater management.<br>Requirements:<br> • Minimum 5 years of experience in geotechnical engineering with a focus on dewatering system design and groundwater control. • Strong understanding of hydrogeology, soil permeability assessment, seepage behavior, and groundwater–structure interaction. • Proven experience designing dewatering systems for temporary excavations, deep foundations, and large-scale infrastructure or marine projects. • Proficiency in relevant analysis tools (e.g., SEEP/W, MODFLOW, PLAXIS, or other groundwater modelling platforms). • Strong capability in interpreting pumping test data, groundwater monitoring results, and geotechnical/hydrogeological investigation findings. • Familiarity with construction methods for wellpoints, deep wells, recharge systems, and cutoff barriers. • Excellent technical report writing and communication skills. • Demonstrated leadership, coordination, and mentoring abilities. • Experience with data processing or scripting (e.g., Python, MATLAB) is an advantage.<br>Kind Note:<br>* While we carefully review all applications, only candidates meeting the specified requirements will be contacted for further consideration. We appreciate your understanding and thank all applicants for their interest.

Team: AI / Data / Engineering Location: Hybrid (Cairo, Egypt)<br><br>Role Purpose:We are building secure, reliable, and scalable AI-powered solutions for banking. As an MLOps Engineer, you will help productionise machine learning and Generative AI workloads by building reproducible pipelines, robust deployment patterns, and strong observability across AWS. This role is ideal for an engineer who understands fundamentals, critically evaluates new technologies, and enjoys working at the intersection of ML, cloud infrastructure, and Fintech. You will be part of the data team who are responsible for building and deploying the data infrastructure and AI/ML services for the bank<br>. What You’ll DOBuild, improve, and operate ML/Gen AI pipelines in production across AWS environments. Own ML/AI services using AWS-native components such as Lambda, S3, SQS, Event Bridge,Cloud Watch, Sage Maker, Fargate, or Bedrock, depending on use case. Design and maintain CI/CD workflows for model and pipeline validation, testing, deployment, and rollback Manage Infrastructure as Code using Terraform to provision and maintain cloud resources consistently across environments. Improve platform reliability through structured logging, tracing, retry handling, and incidentready runbooks Support governance requirements including security, privacy, auditability, and operationa documentation. Contribute to reusable MLOps standards, tooling, and templates that improve delivery speed and consistency across AI use cases.<br>What We’re Looking For Required Experience: 5+ years of experience in MLOps, platform engineering, Dev Ops, backend engineering, ordata engineering with hands-on responsibility for production systems. A mindset that critically evaluates ideas, aiming for simplicity and reliability, keepingcost,performance and security in mind. Practical experience with AWS and cloud-based deployment of data or ML workloads and event driven architectures. Hands-on experience with modern deployment practices for distributed or serverless systems. Experience with Python for automation, testing, pipeline development, and production support. Experience with Terraform or another Infrastructure as Code tool. Good understanding of monitoring and observability. Clear communication skills and a collaborative approach to working across teams.<br>Preferred / Nice to Have:Understanding of secure engineering practices for PII-sensitive systems. Experience with AWS Bedrock, Sage Maker, Textract, or similar managed AI/ML services. Exposure to Generative AI use cases, including prompt-based systems or retrieval-aug Mente generation RAG). Experience working in financial services or another regulated environment.<br>How You’ll Work Automation first you look for repeatable, reliable ways to reduce manual work. Reliability focused you build with testing, observability, and safe releases in mind. Security aware you understand the importance of privacy, access control, and auditability in fintech. Collaborative you work well with data scientists, engineers, and platform teams to move from prototype to production. Ownership minded you take responsibility for the quality and operability of the systems you build.<br>What Success Looks Like:ML and AI services are deployed reliably and consistently across environments. Pipelines are well tested, observable, and easy to support. Production issues are easier to detect, diagnose, and recover from. Teams can move faster through reusable tooling, better deployment standards, and clearer operational practices. AI solutions meet the security, compliance, and resilience standards expected ina banking environment.

Junior Developer (Software Engineering & Core API Operations) Location: 100% Remote (Must reside in Egypt) Liaison Hub: Abu Dhabi, UAECompany: Next Match AI LLCReference ID: NMAI-JDEV-EG-023The Opportunity Next Match AI LLC is seeking a highly motivated, adaptable Junior Developer to join our distributed global software engineering team. As our automated AI matching networks and foundational HR API infrastructure experience rapid commercial adoption across North America and the GCC, we are expanding our core technical team to support feature deployment, database optimization, and high-volume data validation holds. Operating completely remote from within Egypt, you will work alongside senior software architects to write clean code, squash system bugs, and optimize front-end and back-end modules. You will play a vital, hands-on role in scaling our cloud ecosystems, collaborating directly with our core engineering hub in Abu Dhabi. Key Responsibilities Feature Development & Maintenance: Write clean, testable code to build and refine responsive user interfaces and backend logic layers. API Integration Support: Assist in maintaining and documenting our core HR API pathways, ensuring reliable data handshakes with third-party corporate client environments. Bug Remediation: Actively identify, debug, and resolve front-end layout shifts and server-side script errors to ensure a seamless web experience. Database Optimization: Write and optimize basic database queries, assisting senior engineers with structured data management and transactional logging. Technical Documentation: Keep internal engineering docs, API logs, and deployment workflows meticulously updated to support codebase transparency. Who You Are (Requirements) Proven Foundation Experience: 1+ years of professional software development experience, a dedicated internship background, or a robust portfolio of live full-stack web applications. Core Tech Stack Familiarity: Hands-on exposure to modern front-end tools (Java Script/Type Script, React, or Vue) and backend environments (Node.js, Python, or equivalent framework logic). Database & Git Comfort: Fundamental understanding of SQL/NoSQL databases (Postgre SQL, Mongo DB) and solid familiarity with version control protocols (Git/Git Hub). Strong Problem-Solving Drive: A sharp analytical mindset with an eagerness to learn complex cloud architectures under the mentorship of senior engineers. Excellent Communication: Clear, structured verbal and written English communication skills; a natural ability to collaborate effectively across remote, distributed channels. Professional Arabic communication is valued for local data context interpretation. Education: Bachelor’s degree in Computer Science, Software Engineering, or a related technical discipline (or equivalent practical coding boot camp credentials). Premium Compensation & Benefits We offer a high-tier early-career compensation portfolio built to secure the region's brightest rising tech talent, positioned strictly 20% above the Egyptian market average. Base Salary: EGP 24,000 – EGP 36,000 per month (Tax-Free, dependent on portfolio depth and technical evaluation performance). Remote Excellence: 100% remote workflow autonomy paired with a dedicated personal technology stipend and home-office equipment setup allowance. Health & Wellness: Comprehensive, high-tier medical insurance coverage provided fully for you and your immediate family members.<br>(Salary and benefits to be discussed based on experience and fit.)

Company Description Sahahly is an independent team of teaching assistants that collaborates with British IGCSE schools and teachers to support the examination process. The organization focuses on enhancing academic quality by providing structured assistance and reliable academic support. In addition, Sahahly helps students explore potential career paths by offering internships across a wide range of fields, giving them exposure that helps them make more informed decisions about their future studies and careers. The team values innovation, student success, and practical learning experiences. Role Description This is a part-time Artificial Intelligence Specialist role based in New Cairo with a hybrid arrangement, combining on-site collaboration with the flexibility to work from home. You will design, build, and refine AI-powered tools that support examination workflows, automated grading, academic assistance, and student guidance. A core part of this role is working with large language models — both commercial APIs (such as Open AI, Anthropic, and Google Gemini) and open-source models (such as Llama, Mistral, Qwen, or Deep Seek) — to build reliable, cost-effective features. Day to day, this includes prompt engineering and evaluation, building and testing AI pipelines, integrating models into existing platforms, designing evaluation frameworks to measure accuracy and consistency, and making practical trade-offs between hosted and self-hosted models on cost, latency, and quality. You will work closely with educators and the internal team to understand user needs, translate them into technical requirements, and continuously improve AI-driven features based on real feedback. The role also involves documenting solutions, staying current with the fast-moving AI landscape, and ensuring ethical, secure, and responsible use of student data. Qualifications1+ years of hands-on experience building and shipping AI/LLM features (professional, freelance, or substantial project work all count). Demonstrated experience working with both commercial LLM APIs (e.g. Open AI, Anthropic, Gemini) and open-source models (e.g. Llama, Mistral, Qwen, Deep Seek) — please include examples or links to past work. Strong practical skills in prompt engineering, model evaluation, and designing systems that measure and improve output accuracy and reliability. Experience integrating AI models into production applications via APIs, including handling rate limits, cost optimization, and fallback/model-agnostic design. Proficiency in Python (or a similar language) for building and maintaining AI solutions, with familiarity in working with model SDKs and orchestration tools. Solid foundation in Computer Science and applied Machine Learning concepts, including data preprocessing, evaluation, and deployment. Familiarity with techniques such as RAG (retrieval-augmented generation), fine-tuning, or structured output generation is a strong plus. Experience with common ML frameworks (e.g. PyTorch, scikit-learn) is beneficial but secondary to applied LLM experience. Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders, including educators. Bachelor's degree (or ongoing studies) in Computer Science, Data Science, AI, or a related field — or equivalent demonstrable practical experience. Ability to work collaboratively in a hybrid setting, manage time effectively in a part-time role, and adapt to a student-focused, education-centric context.

Who we are<br>NERV builds AI Business Systems for small and medium businesses. We deploy full AI departments, sales, marketing, finance, operations, as a system that plugs into a company and runs day to day. Not a chatbot your team talks to. A system that does the actual work: generates leads, follows up, tracks finances, runs operations, proactively, without being asked.<br>We are a small Belgian company, early, and growing through client work. We are hiring a developer to own our technical side. Today the founder builds the product, sells it, and delivers it. That does not scale. You take the build off his hands.<br>You will work on two things. First, our own platform: a live system with a knowledge-graph memory, a Slack interface, a website, and a layer of AI agents and automations. You make it production grade. Second, the AI systems we build inside our clients' businesses on paid projects, where you will sometimes join the calls. This role is for someone who builds with AI every day and ships faster because of it.<br>What you will do Own and harden our platform: memory, the Slack bot, server operations, the website, the integrations. Build production-safe systems: secret handling, observability, rollback, incident response. Build AI agent systems inside client businesses on paid engagements. Deploy, monitor, and fix things in production on your own.<br>What we are looking for At least 3 years building software professionally. You build with LLMs. You design agent systems, prompt pipelines, and tool-calling, and you ship them. You use Claude Code (or a similar agentic coding tool) every day. This is a must, not a bonus. Strong Python. Comfortable in Node, Java Script, and Type Script. You can build a web app with React or Next.js. You are at home on a Linux server over SSH: services, logs, deploys, debugging live issues. You work databases and are willing to own a graph database (Neo4j). Graph experience is a plus. Clean git habits. Good spoken and written English. You will be on calls with clients and need to explain technical ideas to non-technical founders. You work unsupervised. Given a goal, you turn it into shipped software.<br>Nice to have Experience with Claude or the Anthropic API. RAG or knowledge-graph memory systems. Something you built and ran in production that real people relied on. Monitoring and rollback experience.<br>What you get A competitive salary. Performance-based commissions and bonuses. You run the technical side of a growing AI company. You work with Claude and the latest AI tools every day. Building with AI is the job, not a side thing. Variety. One week you improve our own platform, the next you build an AI system for a client. A direct line to the founder. No layers, no politics. You are an early hire and you grow with the company. Full freedom on where and how you work.<br>The setup Fully remote. Full-time, European working hours.<br>How to apply Quick Apply: upload your CV and answer the questions. That is all we need to start.

Slack Migration Engineer<br>About the Client Our client is one of the world's leading meal kit companies, delivering more than 120 million meals annually to over 4 million households across 14 countries and 3 continents. Their technology ecosystem powers a wide range of business-critical functions, including procurement tools, conversion rate optimization, live pricing systems, payment services, and upselling platforms. As part of a major enterprise initiative, the company is undertaking a migration of 10,000+ users from Slack Enterprise Select to Slack Enterprise+ and is seeking an experienced engineer to lead the technical workstream of this business-critical project.<br>The Opportunity We are looking for a highly autonomous and technically strong engineer who can independently own the technical risk surface of the migration. This role requires making critical decisions around application compatibility, designing testing methodologies from scratch, creating operational runbooks, and bridging the gap between Slack's recommendations and the organization's need for operational certainty. You will be responsible for the technical workstream end-to-end, ensuring a seamless migration with minimal disruption to business operations.<br>What You'll DoLead the technical risk assessment for Slack applications, workflows, integrations, and custom automations Evaluate app compatibility and provide clear migration readiness recommendations Design and execute migration testing strategies, including smoke tests and downtime scenario validation Develop comprehensive runbooks that can be executed under time-sensitive conditions Coordinate with app owners, workflow owners, internal stakeholders, and Slack Professional Services teams Translate Slack guidance into practical implementation plans while identifying risks and mitigation strategies Make informed technical decisions regarding:App compatibility classifications Testing methodologies Sandbox configurations Runbook content Vendor engagement and escalation approaches Ensure the migration is thoroughly tested, operationally sound, and minimizes business disruption<br>Required Qualifications Technical Skills Strong experience with Java Script, Type Script, and Python Deep understanding of Slack's platform architecture, including:Web APIEvents APIRTM APIWebhooks Workflows Bot tokens OAuth scopes Slack apps and legacy integrations Experience with enterprise-scale Slack administration or Slack application development Hands-on experience with AWSAbility to review, assess, and make risk-based decisions on custom application code across multiple languages and frameworks Experience designing testing methodologies independently, including validation of hard and soft downtime scenarios<br>Professional Skills Strong operational discipline and experience creating detailed runbooks Ability to work independently and navigate ambiguity Excellent stakeholder management and communication skills Proven ownership mindset and decision-making capability Upper-Intermediate English level or higher Nice to Have Experience leading enterprise Saa S platform migrations Familiarity with Slack Workflow Builder, Zapier, and custom workflow automation platforms Experience with SSO and SCIM provisioning in enterprise environments Background supporting operations, logistics, manufacturing, or food production environments Understanding of operationally critical workflows and their business impact Why Join? Own a high-visibility enterprise migration affecting 10,000+ users Work directly with global stakeholders and Slack Professional Services Solve complex technical and operational challenges at scale Make key architectural and risk-management decisions with significant business impact Join a technology-driven organization operating across multiple continents<br>If you enjoy owning complex migrations, making critical technical decisions, and working at enterprise scale, we'd love to hear from you.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About us Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence.<br> We’ve evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise.<br> We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling.<br> This is made possible by relying on 3 pillars of excellence: 350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona).<br> Our proprietary AI orchestrator.<br> Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions.<br> Ready to kick start your career with us?<br> Why Infomineo?<br> Here’s what sets us apart: Shape the Future of Business Insights: You will be at the forefront, leading the design and implementation of AI-driven solutions that automate tasks and drive efficiency across our entire service spectrum (Business Research, Content, Design, and Data Analytics).<br> Work with Global Leaders: Our clients are industry leaders — Fortune 500s, top consultancies, governments, and NGOs.<br> You will take ownership of delivering technical solutions that directly support their success.<br> Lead in AI &amp; Technology: We foster continuous learning and technical excellence.<br> You will stay ahead of the latest advancements in AI and software engineering, and actively drive innovation across the team.<br> Thrive in a Collaborative Culture: We value intellectual curiosity, leadership, and a can-do attitude.<br> You will be encouraged to mentor others, contribute strategic ideas, and make a lasting impact on the company’s growth.<br> About this role: We are seeking an experienced and technically strong individual to join us as Senior AI Software Engineer.<br> In this role, you will take ownership of designing, developing, and deploying AI-powered data products and analytical applications that serve our internal teams and global clients.<br> You will lead data science and AI initiatives, define best practices for applied AI and analytical solution development, and collaborate closely with engineering, product, and business stakeholders.<br> While the role is primarily data science and AI-focused, you will also leverage your full-stack development background to build production-ready applications, integrate AI capabilities, and support cloud-based deployment.<br> Key Responsibilities: Data Science, AI &amp; Applied R&amp;D: Lead the design and development of AI-powered analytical solutions, data products, and intelligent applications that solve complex business problems.<br> Translate business and client requirements into data science approaches, AI workflows, and scalable technical solutions.<br> Design, prototype, and productionize machine learning, LLM, and generative AI solutions with a focus on business value, reliability, and usability.<br> Own the architecture of Retrieval-Augmented Generation (RAG) pipelines, including document processing, vectorization, semantic search, evaluation, and query optimization for enterprise use cases.<br> Design and implement complex AI-powered features by integrating LLM APIs and services using frameworks such as LangChain or equivalent, with a focus on reliability, accuracy, and performance in production.<br> Design, implement, and maintain Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and data sources, enabling context-aware and extensible AI solutions.<br> Develop evaluation frameworks, monitoring approaches, and observability practices for LLM-powered systems to ensure quality, transparency, and continuous improvement.<br> Apply advanced prompt engineering, embedding strategies, and vector database management techniques to improve the performance of AI solutions.<br> Integrate AI outputs into analytical workflows, dashboards, reporting tools, and client delivery pipelines.<br> Full-Stack Application Development: Design and contribute to the development of production-grade AI and data applications, primarily using Python and backend frameworks such as FastAPI.<br> Build or support frontend interfaces using modern frameworks such as React, Next.<br>js, or Vue to make AI and data products accessible to business users and clients.<br> Collaborate with software engineers to define scalable application architectures, API standards, and integration patterns.<br> Develop and maintain REST API integrations with third-party AI services, enterprise SaaS platforms, internal tools, and external data sources.<br> Ensure that data science prototypes are translated into maintainable, secure, and scalable production solutions.<br> Participate in code reviews, define technical best practices, and contribute to a high-quality engineering and data science culture.<br> Cloud, Deployment &amp; MLOps: Support the containerization and cloud deployment of AI and data applications, preferably on Google Cloud Platform using GKE and Artifact Registry, while remaining adaptable to other cloud environments.<br> Design and maintain CI/CD pipelines using GitHub Actions or equivalent tools to ensure reliable and repeatable releases.<br> Apply MLOps and LLMOps practices to manage experimentation, deployment, monitoring, and continuous improvement of AI systems.<br> Collaborate with engineering and infrastructure teams to ensure the reliability, scalability, and performance of production environments.<br> Proactively identify performance bottlenecks in AI workflows, data pipelines, application layers, and infrastructure.<br> Technical Leadership &amp; Collaboration: Lead applied AI and data science initiatives from discovery and prototyping through production deployment.<br> Mentor junior data scientists, AI engineers, and developers on data science methods, AI integration, coding practices, and production readiness.<br> Work closely with product teams, consultants, analysts, and non-technical stakeholders to ensure solutions are aligned with business needs.<br> Define standards and best practices for AI solution design, evaluation, documentation, and delivery.<br> Communicate complex technical concepts clearly to both technical and non-technical audiences.<br> Qualifications: 4 to 6 years of experience in data science, AI development, applied machine learning, or related technical roles, with hands-on experience delivering production-grade AI or data products.<br> Strong proficiency in Python, with experience using data science, machine learning, and AI libraries and frameworks.<br> Solid full-stack development background, including experience with backend frameworks such as FastAPI and modern frontend frameworks such as React, Next.<br>js, or Vue.<br> Deep understanding of LLMs, RAG architectures, generative AI workflows, and production-grade AI service integration, including tools such as OpenAI, Gemini, LangChain, or equivalent.<br> Proven experience designing and implementing Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and enterprise data sources.<br> Experience building analytical workflows, dashboards, data pipelines, or AI-powered decision-support tools in a client delivery or enterprise context.<br> Hands-on experience with Docker and cloud deployment on at least one major cloud platform such as GCP, AWS, Azure, or equivalent.<br> Familiarity with container orchestration, artifact management, CI/CD pipelines, GitHub Actions, GitOps workflows, and branching strategies.<br> Strong understanding of LLM observability, AI evaluation, performance monitoring, and production reliability practices.<br> Demonstrated ability to lead technical initiatives, mentor junior team members, and collaborate effectively with product teams and business stakeholders.<br> Bachelor’s or Master’s degree in Data Science, Computer Science, Software Engineering, Statistics, Applied Mathematics, or a related field.<br> Preferred Skills: Experience with agentic AI frameworks such as LangGraph or similar orchestration tools for building multi-step AI workflows.<br> Knowledge of advanced prompt engineering, vector database management, embedding model optimization, and AI evaluation techniques.<br> Experience with MLOps or LLMOps practices, including experiment tracking, model monitoring, and AI quality evaluation.<br> Experience with Infrastructure as Code tools such as Terraform or Pulumi.<br> Experience designing data models, analytical pipelines, or BI/dashboard solutions.<br> Relevant certifications such as Google Cloud Professional Data Engineer, Google Cloud Professional Machine Learning Engineer, Google Cloud Professional Developer, or similar cloud and AI credentials.<br> What we offer: A competitive compensation and benefits package.<br> The opportunity to lead AI, data science, and technology initiatives with real global impact.<br> A dynamic and supportive work environment that values leadership, innovation, and your contributions.<br> Continuous learning and professional development opportunities to propel your career forward in AI, data science, and technology.<br> Application Process: Candidates are invited to submit a resume, cover letter, and any relevant portfolio, GitHub links, or project examples showcasing their experience in data science, AI solution development, full-stack application development, and cloud deployment.<br> Shortlisted candidates will undergo a technical assessment and interview to demonstrate their data science expertise, AI implementation skills, full-stack capabilities, and technical leadership potential.<br> Infomineo: Where brilliant minds meet to shape the future of business.<br></span> </div>

<p>We seek a highly skilled and experienced <strong>Senior Data Scientist</strong> to join our team. In this role, you will lead advanced data science solutions' design, implementation, and optimisation. You will conduct complex experiments, uncover actionable insights, develop scalable machine-learning models, and drive strategic decisions based on data. As a Senior Data Scientist, you will mentor junior team members and collaborate across departments to elevate the organisation's data-driven capabilities.</p><h3>&nbsp;</h3><h3>Main Goals and Responsibilities:</h3><ul><li><p>Lead the development and deployment of robust data science and machine learning pipelines, from data retrieval and preprocessing to model training, inferencing, and results visualisation;</p></li><li><p>Take ownership of the architecture and optimisation of DS/ML pipelines to ensure scalability and efficiency;</p></li><li><p>Leverage ML models to build innovative solutions for tasks such as text generation, content automation, and more;</p></li><li><p>Collaborate with cross-functional teams to integrate advanced data solutions that meet evolving business needs;</p></li><li><p>Guide tools, strategies, and best practices to solve complex data science problems, including those involving LLMs and Generative AI;</p></li><li><p>Share expertise with the team and across departments to elevate the overall technical capabilities of the organisation;</p></li><li><p>Proactively identify opportunities to improve data processes, model performance, and business impact.</p></li></ul><p>&nbsp;</p><p><strong>What We Offer:</strong></p><ul><li><p>Long-term career stability with a competitive salary paid in USD.</p></li><li><p>Conditions for steady career development.</p></li><li><p>Development supported by dedicated mentors and a variety of programs focused on expertise and innovation.</p></li><li><p>Private medical insurance provided after successful completion of the probationary period</p></li><li><p>A well-equipped and cozy office supports comfort and productivity across all project stages.</p></li><li><p>Welcoming atmosphere and a friendly corporate culture.</p></li></ul><p></p><p><strong>Requirements</strong></p><h3>Required Skills and Experience:</h3><ul><li><p>English level Upper Intermediate +</p></li><li><p>Strong mathematical and statistical background, including tensor calculus</p></li><li><p>Expertise in databases such as Postgres, MongoDB, and SQL</p></li><li><p>Proficiency in Python, with extensive experience in libraries such as Scikit-learn, Numpy, Pandas, and Matplotlib</p></li><li><p>In-depth knowledge and experience with gradient boosting algorithms (e.g., XGBoost, LightGBM)</p></li><li><p>Advanced experience with at least one neural network framework (TensorFlow/Keras, PyTorch), with a deep understanding of neural network architectures and optimisation techniques</p></li><li><p>Proven commercial experience with classic machine learning and deep learning, including NLP and computer vision (e.g., BERT, ResNet)</p></li><li><p>Experience in applying LLMs and Generative AI technologies (e.g., GPT, transformer-based architectures) in real-world use cases</p></li><li><p>Extensive experience in building end-to-end machine learning pipelines (data ingestion, preprocessing, model training, deployment, inference) and managing CI/CD workflows using GitHub/GitLab</p></li><li><p>Practical experience with Docker or Kubernetes platforms for deployment and scalability</p></li><li><p>Commercial experience with cloud platforms like AWS or Azure</p></li></ul><h3><strong>&nbsp;Nice to Have:</strong></h3><ul><li><p>Familiarity with big data tools such as Spark and Airflow</p></li></ul><p></p>

<p>We are seeking a highly skilled Senior Data Engineer to join our data and analytics team. The ideal candidate will have extensive experience in working with diverse data sources, performing data profiling, and identifying matching records across systems to create master data records. This role requires strong analytical and technical skills, along with expertise in data quality, integration, transformation, and cloud-based data platforms.</p><strong>Roles &amp; Responsibilities</strong><ul><li><strong>Data Source Analysis:</strong> Analyze multiple structured and unstructured data sources to understand schemas, data quality, and relationships. Assess and document the metadata, formats, and business rules of incoming data sets.</li><li><strong>Data Profiling &amp; Matching:</strong> Perform comprehensive data profiling to assess completeness, accuracy, uniqueness, and consistency of data. Develop logic to match and reconcile records across different systems using keys, rules, or fuzzy matching techniques.</li><li><strong>Master Data Management (MDM):</strong> Design and implement processes for building and maintaining golden master records. Support creation and maintenance of master data across domains such as customer, product, asset, etc. Handle data deduplication and standardization.</li><li><strong>ETL &amp; Data Pipelines:</strong> Build scalable data pipelines using Azure Data Factory for ingesting, transforming, and cleansing data from multiple sources. Ensure efficient data movement across staging, processing, and analytical layers. Leverage Azure Synapse Analytics (optional) for advanced data processing and analytics</li><li><strong>Collaboration &amp; Governance:</strong> Work closely with business analysts, data stewards, and application owners to understand data definitions and ownership. Enforce data governance standards and best practices.</li><li><strong>Performance &amp; Optimization:</strong> Monitor data workflows and optimize performance for large-scale processing. Troubleshoot data issues and implement robust logging and monitoring.</li></ul><p><strong>Desired Candidate Profile</strong></p><strong>Requirements</strong><p><strong>Qualification and Education Requirements:</strong> Bachelor s or Master s degree in Computer Science, Data Engineering, or a related field.</p><p><strong>Minimum Experience/Skills Required:</strong></p><ul><li>5+ years of experience in data engineering, ETL development, or data integration.</li><li>Proven experience in data profiling, matching, and MDM (Master Data Management).</li><li>Expertise in SQL for querying, transforming, and optimizing complex datasets.</li><li>Strong proficiency in Python or PySpark for data processing and pipeline development.</li><li>Experience with Azure Data Factory for building and managing data pipelines.</li><li>Familiarity with Azure Synapse Analytics is a plus.</li><li>Strong expertise in ETL/ELT tools (e.g., Talend, Informatica, SSIS, Apache NiFi).</li><li>Familiarity with data quality frameworks and metadata management.</li><li>Strong communication skills in both Arabic and English.</li></ul><p><strong>Preferred Skills</strong></p><ul><li>Experience with data cataloging tools (e.g., Azure Purview, Alation).</li><li>Knowledge of data modeling and normalization techniques.</li><li>Understanding of data privacy and compliance standards (GDPR, HIPAA, etc.).</li><li>Familiarity with REST APIs and integrating with third-party data services.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Job Description We are seeking a highly skilled Senior Data Engineer to join our data and analytics team.<br> The ideal candidate will have extensive experience in working with diverse data sources, performing data profiling, and identifying matching records across systems to create master data records.<br> This role requires strong analytical and technical skills, along with expertise in data quality, integration, transformation, and cloud-based data platforms.<br> Roles &amp; Responsibilities Data Source Analysis: • Analyze multiple structured and unstructured data sources to understand schemas, data quality, and relationships.<br> • Assess and document the metadata, formats, and business rules of incoming data sets.<br> Data Profiling &amp; Matching: • Perform comprehensive data profiling to assess completeness, accuracy, uniqueness, and consistency of data.<br> • Develop logic to match and reconcile records across different systems using keys, rules, or fuzzy matching techniques.<br> Master Data Management (MDM): • Design and implement processes for building and maintaining golden master records.<br> • Support creation and maintenance of master data across domains such as customer, product, asset, etc.<br> • Handle data deduplication and standardization.<br> ETL &amp; Data Pipelines: • Build scalable data pipelines using Azure Data Factory for ingesting, transforming, and cleansing data from multiple sources.<br> • Ensure efficient data movement across staging, processing, and analytical layers.<br> • Leverage Azure Synapse Analytics (optional) for advanced data processing and analytics Collaboration &amp; Governance: • Work closely with business analysts, data stewards, and application owners to understand data definitions and ownership.<br> • Enforce data governance standards and best practices.<br> Performance &amp; Optimization: • Monitor data workflows and optimize performance for large-scale processing.<br> • Troubleshoot data issues and implement robust logging and monitoring.<br> Requirements Qualification and Education Requirements: • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.<br> Minimum Experience/Skills Required: • 5+ years of experience in data engineering, ETL development, or data integration.<br> • Proven experience in data profiling, matching, and MDM (Master Data Management).<br> • Expertise in SQL for querying, transforming, and optimizing complex datasets.<br> • Strong proficiency in Python or PySpark for data processing and pipeline development.<br> • Experience with Azure Data Factory for building and managing data pipelines.<br> • Familiarity with Azure Synapse Analytics is a plus.<br> • Strong expertise in ETL/ELT tools (e.<br>g., Talend, Informatica, SSIS, Apache NiFi).<br> • Familiarity with data quality frameworks and metadata management.<br> • Strong communication skills in both Arabic and English.<br> Preferred Skills • Experience with data cataloging tools (e.<br>g., Azure Purview, Alation).<br> • Knowledge of data modeling and normalization techniques.<br> • Understanding of data privacy and compliance standards (GDPR, HIPAA, etc.<br>). • Familiarity with REST APIs and integrating with third-party data services.<br></span> </div>

<p>1.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <strong>MES &amp; Manufacturing Data Management</strong></p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Support technical and functional aspects of MES or other manufacturing-related software.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Ensure production data is correctly organized, optimized, and aligned with MES standards to meet site objectives.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Collaborate with production managers, engineers, and team members to maintain, analyze, and improve production data.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Understand complex business requirements and design effective data models.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Incorporate different data sources and databases to deliver optimal outputs across client platforms</p><p>2.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <strong>Software Development &amp; Technical Skills</strong></p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Develop and maintain server-side application logic and web applications.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Troubleshoot, debug, and upgrade software and databases.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Apply knowledge of back-end languages such as C# and Python.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Utilize web technologies including HTML5, CSS3, and web servers like IIS and Apache.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Manage well-functioning databases and applications (Oracle, MS SQL).</p><p>3.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <strong>Reporting &amp; Analytics</strong></p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Use Power BI and other reporting tools to analyze and present production data.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Ensure applications perform efficiently, maintain quality, and respond effectively to user needs.</p><p>4.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <strong>Process &amp; Documentation</strong></p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Communicate project status and progress to relevant stakeholders.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Define, document, and maintain processes and procedures.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Write technical documentation to support software and data management.</p><p>5.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <strong>Additional Skills</strong></p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Troubleshoot technical issues with software and data systems.</p><p>Apply fundamental design principles for scalable applications.</p><p><strong>Requirements</strong></p><ul><li><p>BA in Computer Science or equivalent.</p></li><li><p>0-2 years of experience in the same position</p></li><li><p>Proficiency in Microsoft Office (Excel, Outlook, Word, and PowerPoint).</p></li><li><p>Previous Experience using ERP</p></li><li><p>Solid understanding of Database Design.&nbsp;</p></li><li><p>Good command of English.&nbsp;</p></li><li><p>Experience with Entity Framework (Oracle / MS SQL).</p></li><li><p>Support MES or other manufacturing systems &amp; SCADA Systems</p></li><li><p>Attention to detail and willingness to learn.</p></li><li><p>SCADA Systems</p></li><li><p>Knowledge of at least one of (Crystal Reports, SSRS, Power BI, and Reporting Services).</p></li><li><p>Familiar with Oracle database</p></li></ul><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b><span>Yassir</span></b><span> is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in </span><b><span>45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa</span></b><span>. It is backed (~</span><b><span>$200M in funding</span></b><span>) by VCs from Silicon Valley, Europe and other parts of the world. </span><br><span>We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. </span><br><span>Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values.</span><br><br><p><b>Responsibilities </b></p><br><ul> <li>Build a centralized data lake on GCP data services by integrating diverse data sources throughout the enterprise.</li> <li>Develop, maintain, and optimize Spark-powered batch and streaming data processing pipelines. Leverage GCP data services for complex data engineering tasks and ensure smooth integration with other platform components.</li> <li>Design and implement data validation and quality checks to ensure accuracy, completeness and consistency across our data workflows.</li> <li>Work closely with the AI / ML team to enable AI use cases and in particular address data needs for Machine Learning model development and monitoring.</li> <li>Collaborate with cross-functional teams, including Data Analysts and other business users from Operations, Marketing and Commercial departments, to extract valuable insights and enable data-driven decision making.</li> <li>Collaborate with the Product teams to design, implement, and maintain the data models for analytical use cases.</li> <li>Engage in technology exploration and research, the development of PoC’s, conducting deep investigations.</li> <li>Design and manage ETL/ELT processes, ensuring data integrity, availability, and performance.</li> <li>Troubleshoot data issues and conduct root cause analysis when reporting data is in question.</li> <li>Work on Gen AI related initiatives aligned with the company goals.</li> </ul><br><p><b>Required Technical Skills</b></p><br><ul> <li>PySpark - Batch and Streaming</li> <li>GCP - Dataproc, Dataflow, DataStream, Dataplex, Pub/Sub, BigQuery and Cloud Storage</li> <li>NoSQL (preferably MongoDB)</li> <li>Programming languages: Scala/Python</li> <li>Great Expectation, or similar DQ framework</li> <li>Familiarity with workflow management tools like: Airflow, Prefect or Luigi</li> <li>Understanding of Data Governance, Data Warehousing and Data Modelling</li> <li>Good SQL knowledge</li> </ul><br><p><b>Business</b></p><br><ul> <li>Able to communicate effectively, distill technical knowledge into digestible messages in a succinct / visual way</li> <li>Proactively identify and contribute with team development initiatives, and supporting junior members</li> </ul><br><p><b>Good to have skills</b></p><br><ul> <li>Infrastructure-as-Code, preferably Terraform</li> <li>Docker and Kubernetes</li> <li>Looker</li> <li>AI / ML engineering knowledge</li> <li>Lineage, or relevant tools e.g. Atlan</li> <li>DBT</li> </ul><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>The Role An international law firm is looking for one highly capable technical specialist to take end-to-end ownership of its HubSpot and Clio ecosystem.<br> This is not a conventional CRM administrator position.<br> We need someone who can combine HubSpot architecture and administration, Clio, advanced automation, API integrations and hands-on development and who is comfortable independently solving technical problems from design through implementation.<br> What You Will Own You will be responsible for: * designing and administering our HubSpot CRM architecture; * managing Sales, Marketing and Service processes; * creating pipelines, custom objects, properties, workflows and advanced automations; * administering and optimizing Clio Manage; * designing the data relationship between HubSpot contacts/deals and Clio clients/matters; * building and maintaining HubSpot ↔️ Clio integrations; * integrating Microsoft 365/Outlook, telephony, websites, forms, payments and other business systems; * using APIs, webhooks and middleware where native integrations are insufficient; * writing custom code when required; * managing data migration, deduplication, governance and quality; * creating management dashboards and operational reporting; * managing user permissions and access controls; * documenting the system and troubleshooting technical problems independently.<br> Technical Requirements Strong hands-on experience with: * HubSpot CRM administration and architecture; * complex HubSpot workflows and automation; * HubSpot custom objects and associations; * HubSpot APIs; * REST APIs; * webhooks; * OAuth/API authentication; * JSON; * JavaScript/TypeScript and/or Python; * data integrations and synchronisation; * CRM data architecture; * troubleshooting integrations and workflows.<br> Experience with Clio Manage and/or the Clio API is strongly preferred.<br> Experience integrating CRM systems with Microsoft 365, telephony, payment systems or other SaaS platforms will be a strong advantage.<br> Experience with Zapier, Make or similar platforms is useful, but the successful candidate must also be capable of working beyond no-code tools where required.<br> What We Are Not Looking For This role is not suitable for someone whose experience is limited to: * basic HubSpot marketing; * simple workflows; * data entry; * basic CRM administration; * website editing only; * no-code automation without API/development capability.<br> Ideal Profile You are someone who can receive a business requirement such as: “When a new international legal enquiry enters HubSpot, automatically classify it, assign it to the correct lawyer, track the consultation and payment, create or update the appropriate client/matter information in Clio, monitor follow-up and report the outcome to management.<br>” and determine how to design and implement the solution yourself.<br> You should be comfortable saying: “I can design this, build it, test it, document it and maintain it.<br>” Application Please submit: * CV; * LinkedIn profile; * HubSpot certifications; * details of your Clio experience; * examples of CRM integrations you personally built; * examples of APIs or custom code you personally implemented.<br> Shortlisted applicants will complete a technical assessment before interview.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Equity Portfolio Pricing and Analytics, Technical Business Analyst</p><p><b>About Millennium</b><br>Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium’s mission is to deliver results for our investors.</p><br><p>Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth accelerates impact.</p><br><p><b>Meet the Team</b><br>The Portfolio Pricing and Valuations group is part of Operations &amp; Middle Office and focuses on firm-wide pricing, valuation, risk and P&amp;L capabilities for derivative products. The group partners with Technology, Quantitative Research, Market Data and valuation functions to advance internal systems and related workflows.</p><br><p><b>What You'll Do</b><br>• Lead a multi-year initiative to migrate equity pricing, risk and P&amp;L capabilities from third-party platforms to internally designed systems.<br>• Define business and functional requirements and develop comprehensive implementation and testing plans.<br>• Analyze complex system workflows, map dependencies and support the migration of legacy pricing and valuation systems.<br>• Coordinate delivery across Technology, Quantitative Research, Market Data and Valuations teams.<br>• Translate business and functional requirements into clear, actionable deliverables.<br>• Own the testing and validation of valuation results.<br>• Provide stakeholders with regular updates on project progress, risks, outcomes and prioritization decisions.<br>• Establish and lead cross-functional working groups as needed.</p><br><p><b>What You Bring</b><br>• Advanced degree or equivalent in a quantitative discipline such as Engineering, Mathematics or Physics, with at least 4 years of relevant work experience.<br>• Advanced knowledge of equity derivative products and associated risks, including options, variance swaps and equity total return swaps.<br>• Strong Python coding skills or proficiency in a similar programming language.<br>• Excellent written and verbal communication skills, with the ability to engage technical teams and users while delivering executive-level updates to senior stakeholders.<br>• Strong attention to detail, thoroughness and ownership, combined with an appropriate sense of urgency.<br>• Collaborative approach and a strong willingness to contribute and support others.</p><br><p><b>Salary Range</b><br>Millennium offers a total compensation package which includes a base salary, discretionary performance bonus, and comprehensive benefits. The estimated base salary range for this position is $90,000 to $170,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.</p><br> </div>