Python Developer Jobs in Egypt

<p><strong>Role Summary</strong></p><p>Take the next step in your career by joining a team where you will not just build pipelines, but design scalable data platforms. We are looking for an experienced Data Engineer who combines strong technical expertise in Python and SQL with a mindset for optimization. You will work directly with clients to build modern Data Warehouses and Lakehouses using industry-standard tools like Databricks and Azure Data Factory.</p><p>&nbsp;</p><p><strong>The Mission</strong></p><p>To build and optimize the data backbone of our clients' businesses. Your mission goes beyond moving data; you will ensure that pipelines are resilient, scalable, and economically efficient (FinOps). You will bridge the gap between infrastructure and data, taking ownership of technical delivery and helping shape the architecture of modern data platforms.</p><p>&nbsp;</p><p><strong>The Tech Stack</strong></p><ul><li><strong>Core Languages:</strong> Python or Scala (Proficient/OOP), SQL (Advanced/Analytical).</li><li><strong>Compute &amp; Storage:</strong> <strong>Databricks</strong>, Snowflake, BigQuery, Synapse, Redshift.</li><li><strong>Orchestration:</strong> <strong>Azure Data Factory (ADF)</strong>, Airflow, Dagster.</li><li><strong>Transformation:</strong> dbt (Core/Cloud), Spark/PySpark (Optimization focus).</li><li><strong>Infrastructure:</strong> Terraform (Implementation), Docker, Kubernetes (K8s).</li></ul><p>&nbsp;</p><p><strong>Your Responsibilities</strong></p><ul><li><strong>Data Platform Development:</strong> Design and implement pipelines to ingest, clean, and transform data into <strong>Data Lakes</strong> and <strong>Data Warehouses</strong>.</li><li><strong>Performance &amp; FinOps:</strong> Actively monitor and optimize pipelines for performance and cost. Differentiate between a working query and an efficient one.</li><li><strong>Deployment &amp; Configuration:</strong> Configure pipeline deployments and manage environment settings using IaC tools (Terraform) and CI/CD.</li><li><strong>Quality Assurance:</strong> Implement data quality checks (e.g., Great Expectations, dbt tests) and ensure data integrity.</li><li><strong>Mentorship:</strong> Communicate with stakeholders to clarify requirements and provide technical guidance/code reviews to Junior engineers.</li></ul><p>&nbsp;</p><p><strong>What We Offer:</strong></p><ul><li>Long-term career stability with a competitive salary paid in USD.</li><li>Conditions for steady career development.</li><li>Development supported by dedicated mentors and a variety of programs focused on expertise and innovation.</li><li>Private medical insurance provided after successful completion of the probationary period</li><li>A well-equipped and cozy office supports comfort and productivity across all project stages.</li><li>Welcoming atmosphere and a friendly corporate culture.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>We're building production AI agents that change how our engineering org ships code and how employees work with internal knowledge. You'll join a small, high-ownership team. You'll write the agent logic, the tools, the data layer, and the pipelines that make them dependable at scale. Turn architecture into reliable, well-tested, production-grade systems.</p><br><p><strong>Role and Responsibilities :</strong></p><br><ul><li>Implement agent logic, tools, and orchestration against the given architecture.</li><li>Build and tune&nbsp;<strong>RAG pipelines</strong>: ingestion → embeddings → retrieval → re-ranking → evaluation</li><li>Design and optimize&nbsp;<strong>Postgres</strong>&nbsp;schemas, queries, and vector indexes for production load</li><li>Build the&nbsp;<strong>test-generation and test-execution engine</strong>&nbsp;for the AI Code Pipeline</li><li>Integrate with&nbsp;<strong>Git, CI/CD,</strong>&nbsp;and internal services</li><li>Build evaluation harnesses, observability, and guardrails so agents are measurable and safe</li><li>Own the reliability, latency, and cost of the systems you ship</li></ul><ul><li>Write clean, typed, well-tested Python and participate actively in code review</li></ul> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a highly skilled Digital Verification Engineer to lead the verification strategy and execution for complex designs. You will drive methodology, architecture, and signoff quality, working closely with system, digital design, architecture, and physical implementation teams. This is a hands-on leadership role combining deep technical expertise with mentorship and cross-functional influence. Key Responsibilities Define and own end-to-end verification strategy for IPs and complex SoCs Architect and deploy scalable UVM-based verification environments Lead block-level, subsystem, and full-chip verification closure Drive coverage closure (functional + code + assertion) Best practices in: Constrained random verification, Assertions, Regression management and debug efficiently Drives regression automation (CI/CD, regression infrastructure, dashboards) Required skills BS or MS in Electrical and Computer Engineering with 10+ years of experience in digital verification Proven track record in SoC level verification and signoff Experience building reusable and scalable verification environments Proficiency in System verilog, UVM methodology, and Assertions (SVA) Strong experience in simulations and debug tools (e.g. vcs, verdi, spyglass) Deep understanding in clock/reset domain crossing knowledge of scripting (python, perl, TCL) for automation Experience with formal verification tools and methodologies Preferred knowledge in low-power verification (UPF/CPF is a plus) We Offer Base Salary Equity Annual Bonus Plan Medical Insurance Information about our benefits you can find here: https://gf.com/careers/opportunities-in-europe/</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>BS or MS in Electrical and Computer Engineering with 10+ years of experience in digital verification</p><p>Proven track record in SoC level verification and signoff</p><p>Experience building reusable and scalable verification environments</p><p>Proficiency in System verilog, UVM methodology, and Assertions (SVA)</p><p>Strong experience in simulations and debug tools (e.g. vcs, verdi, spyglass)</p><p>Deep understanding in clock/reset domain crossing</p><p>knowledge of scripting (python, perl, TCL) for automation</p><p>Experience with formal verification tools and methodologies</p><p>Preferred knowledge in low-power verification (UPF/CPF is a plus)</p><p></p></section>

Lead, mentor, and develop the Storage and Backup team, managing priorities, on-call coverage, and escalations. Oversee the day-to-day operations, monitoring, performance, and overall health of the Power Max and Power Store storage environments. Manage storage provisioning, capacity planning, performance optimization, upgrades, and migration activities. Own and manage the backup and data protection environment across PPDM, Commvault, and Data Domain. Ensure backup and recovery operations meet defined RPO and RTO requirements, including regular recovery testing and validation. Lead disaster recovery planning, testing, and coordination during incidents and recovery scenarios. Ensure compliance with applicable security, data retention, and ransomware resilience requirements. Drive automation, operational excellence, and continuous improvement initiatives, while providing management with regular reports on capacity, utilization, SLAs, and overall service performance.<br><br>Requirements<br><br>4+ Years in similar role. Expert hands-on experience with Dell Power Max and Power Store storage arrays. Strong experience with Power Protect Data Manager (PPDM), Commvault, and Dell Data Domain. Solid knowledge of SAN/NAS (Fibre Channel, i SCSI, NFS, SMB), replication, and DR concepts. Familiarity with virtualization (VMware) and its storage integration. Strong leadership, troubleshooting, and communication skills. Preferred Relevant Dell Technologies certifications and VMware certification (VCP). Scripting/automation experience (Power Shell, Python). Experience with immutable/air-gapped backups and ransomware recovery. Familiarity with ITIL processes.

Role Overview We are looking for a Cybersecurity Engineer who can review eyouth systems end-to-end across code,infrastructure, CI/CD, AWS, authentication, authorization, data privacy, and production deployment practices. This role should have enough technical depth to understand our current engineering stack and reviewbackend, frontend, mobile, AI, and cloud systems before and after release.<br>Key Responsibilities• Perform secure code reviews across backend, frontend, dashboard, mobile, and AI-related systems.• Review Django/DRF APIs, serializers, permission classes, authentication, authorization, and sensitiveadmin workflows.• Review CI/CD pipelines for insecure deployment steps, exposed secrets, missing security gates, andweak access control.• Review AWS infrastructure, including S3, Cloud Front, IAM, RDS/Postgre SQL, Redis/Elasti Cache,ALB/security groups, and environment configuration.• Review file upload and download flows, signed URLs, public/private media access, and data leakagerisks.• Review JWT/session handling, password reset, role-based permissions, single-session enforcement, andadmin-level actions.• Review frontend and mobile security, including token storage, XSS risks, API interceptors, route guards,and secure client behavior.• Review AI-related risks, including prompt injection, PII leakage, unsafe prompt construction, and third-party AI data sharing.• Conduct vulnerability assessments and pre-release security audits.• Create security checklists for code review, deployment review, and production readiness.• Document findings with severity, impact, evidence, and recommended remediation steps.<br>Requirements & Qualifications• 3+ years of experience in Application Security, Cloud Security, Cybersecurity Engineering, or Security-focused Software Engineering.• Strong experience in secure code review, API security, and common web vulnerabilities.• Good understanding of OWASP Top 10, authentication, authorization, and session security.• Experience reviewing CI/CD pipelines and deployment workflows.• Hands-on experience with AWS security services including IAM, S3, Cloud Front, RDS/Postgre SQL, Redis/Elasti Cache, ALB, and Security Groups.• Good understanding of backend technologies, especially Python, Django, and Django REST Framework.• Good understanding of frontend and mobile security risks.• Experience with Git workflows, pull request reviews, and collaboration with engineering teams.• Ability to identify security issues and provide practical engineering solutions. Preferred Technical Stack Awareness:• Python, Django, Django REST Framework, Channels, Celery, Redis, Postgre SQL, and Simple JWT.• React/Vite applications using React Query, Zustand, axios, Tailwind, and localization.• Flutter applications using BLoC, Dio, GoRouter, Firebase Messaging, and local token storage.• AWS infrastructure and environment-based configurations.• Firebase Admin SDK, SMTP, Open AI APIs, file upload workflows, and PII-heavy systems.<br>Work Conditions & Benefits• Hybrid work model• 2 days off weekly• Medical insurance• Working hours from 9:00 AM to 5:00 PMHow to apply Please send your resume to career@eyouth.learning.com and mention the job title in the email subject.

Company Description Astraform is an Egypt-based business consulting company specializing in AI solutions. We integrate ERPs as the context layer for company-wide AI. Our core concept: AI can only transform a business if it has up-to-date, structured, and complete context. Most companies don’t have that. Data lives in spreadsheets, inboxes, and disconnected tools. So our work starts by replacing fragmented systems with a unified environment that becomes the single source of truth. From there, the real value creation begins. We structure the ERP as an AI-ready operating core. Clean data models. Standardized processes. APIs integration. This foundation gives LLMs the full picture of your operations, financials, purchasing, inventory, and customers. AI can execute workflows, make recommendations and automate tasks with real context. Our team blends software engineering, cloud architecture and business process expertise, creating systems where ERP + Cloud + AI work together as one ecosystem ready for agents, RAG pipelines and intelligent automations that evolve with your business.<br>Role Summary Own Odoo implementations end-to-end on the functional side: take a signed scope, configure Odoo to match it, get the client live, and train their team. This is Studio-first, config-heavy work — not development. You'll spend your days in modules and settings, not in Python.<br>What you'll do Configure core Odoo modules: Sales, Purchase, CRM, Inventory, Accounting, POS, HR, Purchase • Requests (and Manufacturing where in scope). Set up full business cycles per client: quotation templates & sales-order workflows, Chart of Accounts, journals, taxes, currencies, units of measure, inventory movements & stock control. Customize via Odoo Studio — custom fields, views, automations, report templates. Run requirements gathering, testing, UAT, go-live, and end-user training. Build reusable training videos & documentation so clients self-serve instead of raising repeat tickets. Configure user access rights & permissions to match each client's org structure. Flag early when a requirement genuinely needs a developer (custom Python module) rather than Studio.<br>Must have6 months–2 years hands-on Odoo implementation (functional). Recent Odoo-course graduates with real project experience welcome. Solid accounting fundamentals — comfortable configuring CoA, journals, taxes, and reconciling a full accounting cycle in Odoo. Strong grasp of order-to-cash and procure-to-pay flows. Confident running client-facing sessions and training in Arabic; professional written English.<br>Nice to have Odoo.sh / self-hosted deployment experience. POS configuration & troubleshooting. Exposure to contracting/construction or agency clients. Light technical ability (reading XML/Python) — a plus, not required.<br>To apply Send your CV + a short note on 2–3 Odoo implementations you personally configured — which modules, what you set up in accounting, and one training asset you built.

Role Overview We are looking for a Cybersecurity Engineer who can review eyouth systems end-to-end across code,infrastructure, CI/CD, AWS, authentication, authorization, data privacy, and production deployment practices. This role should have enough technical depth to understand our current engineering stack and reviewbackend, frontend, mobile, AI, and cloud systems before and after release.<br>Key Responsibilities• Perform secure code reviews across backend, frontend, dashboard, mobile, and AI-related systems.• Review Django/DRF APIs, serializers, permission classes, authentication, authorization, and sensitiveadmin workflows.• Review CI/CD pipelines for insecure deployment steps, exposed secrets, missing security gates, andweak access control.• Review AWS infrastructure, including S3, Cloud Front, IAM, RDS/Postgre SQL, Redis/Elasti Cache,ALB/security groups, and environment configuration.• Review file upload and download flows, signed URLs, public/private media access, and data leakagerisks.• Review JWT/session handling, password reset, role-based permissions, single-session enforcement, andadmin-level actions.• Review frontend and mobile security, including token storage, XSS risks, API interceptors, route guards,and secure client behavior.• Review AI-related risks, including prompt injection, PII leakage, unsafe prompt construction, and third-party AI data sharing.• Conduct vulnerability assessments and pre-release security audits.• Create security checklists for code review, deployment review, and production readiness.• Document findings with severity, impact, evidence, and recommended remediation steps.<br>Requirements & Qualifications• 3+ years of experience in Application Security, Cloud Security, Cybersecurity Engineering, or Security-focused Software Engineering.• Strong experience in secure code review, API security, and common web vulnerabilities.• Good understanding of OWASP Top 10, authentication, authorization, and session security.• Experience reviewing CI/CD pipelines and deployment workflows.• Hands-on experience with AWS security services including IAM, S3, Cloud Front, RDS/Postgre SQL, Redis/Elasti Cache, ALB, and Security Groups.• Good understanding of backend technologies, especially Python, Django, and Django REST Framework.• Good understanding of frontend and mobile security risks.• Experience with Git workflows, pull request reviews, and collaboration with engineering teams.• Ability to identify security issues and provide practical engineering solutions. Preferred Technical Stack Awareness:• Python, Django, Django REST Framework, Channels, Celery, Redis, Postgre SQL, and Simple JWT.• React/Vite applications using React Query, Zustand, axios, Tailwind, and localization.• Flutter applications using BLoC, Dio, GoRouter, Firebase Messaging, and local token storage.• AWS infrastructure and environment-based configurations.• Firebase Admin SDK, SMTP, Open AI APIs, file upload workflows, and PII-heavy systems.<br>Work Conditions & Benefits• Hybrid work model• 2 days off weekly• Medical insurance• Working hours from 9:00 AM to 5:00 PM<br>How to apply Please send your resume to career@eyouth.learning.com and mention the job title in the email subject.

Role Overview We are looking for a Cybersecurity Engineer who can review eyouth systems end-to-end across code,infrastructure, CI/CD, AWS, authentication, authorization, data privacy, and production deployment practices. This role should have enough technical depth to understand our current engineering stack and reviewbackend, frontend, mobile, AI, and cloud systems before and after release.<br>Key Responsibilities• Perform secure code reviews across backend, frontend, dashboard, mobile, and AI-related systems.• Review Django/DRF APIs, serializers, permission classes, authentication, authorization, and sensitiveadmin workflows.• Review CI/CD pipelines for insecure deployment steps, exposed secrets, missing security gates, andweak access control.• Review AWS infrastructure, including S3, Cloud Front, IAM, RDS/Postgre SQL, Redis/Elasti Cache,ALB/security groups, and environment configuration.• Review file upload and download flows, signed URLs, public/private media access, and data leakagerisks.• Review JWT/session handling, password reset, role-based permissions, single-session enforcement, andadmin-level actions.• Review frontend and mobile security, including token storage, XSS risks, API interceptors, route guards,and secure client behavior.• Review AI-related risks, including prompt injection, PII leakage, unsafe prompt construction, and third-party AI data sharing.• Conduct vulnerability assessments and pre-release security audits.• Create security checklists for code review, deployment review, and production readiness.• Document findings with severity, impact, evidence, and recommended remediation steps.<br>Requirements & Qualifications• 3+ years of experience in Application Security, Cloud Security, Cybersecurity Engineering, or Security-focused Software Engineering.• Strong experience in secure code review, API security, and common web vulnerabilities.• Good understanding of OWASP Top 10, authentication, authorization, and session security.• Experience reviewing CI/CD pipelines and deployment workflows.• Hands-on experience with AWS security services including IAM, S3, Cloud Front, RDS/Postgre SQL, Redis/Elasti Cache, ALB, and Security Groups.• Good understanding of backend technologies, especially Python, Django, and Django REST Framework.• Good understanding of frontend and mobile security risks.• Experience with Git workflows, pull request reviews, and collaboration with engineering teams.• Ability to identify security issues and provide practical engineering solutions. Preferred Technical Stack Awareness:• Python, Django, Django REST Framework, Channels, Celery, Redis, Postgre SQL, and Simple JWT.• React/Vite applications using React Query, Zustand, axios, Tailwind, and localization.• Flutter applications using BLoC, Dio, GoRouter, Firebase Messaging, and local token storage.• AWS infrastructure and environment-based configurations.• Firebase Admin SDK, SMTP, Open AI APIs, file upload workflows, and PII-heavy systems.<br>Work Conditions & Benefits• Hybrid work model• 2 days off weekly• Medical insurance• Working hours from 9:00 AM to 5:00 PM<br>How to apply Please send your resume to career@eyouth.learning.com and mention the job title in the email subject.

Role Overview We are looking for a Cybersecurity Engineer who can review eyouth systems end-to-end across code,infrastructure, CI/CD, AWS, authentication, authorization, data privacy, and production deployment practices. This role should have enough technical depth to understand our current engineering stack and reviewbackend, frontend, mobile, AI, and cloud systems before and after release.<br>Key Responsibilities• Perform secure code reviews across backend, frontend, dashboard, mobile, and AI-related systems.• Review Django/DRF APIs, serializers, permission classes, authentication, authorization, and sensitiveadmin workflows.• Review CI/CD pipelines for insecure deployment steps, exposed secrets, missing security gates, andweak access control.• Review AWS infrastructure, including S3, Cloud Front, IAM, RDS/Postgre SQL, Redis/Elasti Cache,ALB/security groups, and environment configuration.• Review file upload and download flows, signed URLs, public/private media access, and data leakagerisks.• Review JWT/session handling, password reset, role-based permissions, single-session enforcement, andadmin-level actions.• Review frontend and mobile security, including token storage, XSS risks, API interceptors, route guards,and secure client behavior.• Review AI-related risks, including prompt injection, PII leakage, unsafe prompt construction, and third-party AI data sharing.• Conduct vulnerability assessments and pre-release security audits.• Create security checklists for code review, deployment review, and production readiness.• Document findings with severity, impact, evidence, and recommended remediation steps.<br>Requirements & Qualifications• 3+ years of experience in Application Security, Cloud Security, Cybersecurity Engineering, or Security-focused Software Engineering.• Strong experience in secure code review, API security, and common web vulnerabilities.• Good understanding of OWASP Top 10, authentication, authorization, and session security.• Experience reviewing CI/CD pipelines and deployment workflows.• Hands-on experience with AWS security services including IAM, S3, Cloud Front, RDS/Postgre SQL, Redis/Elasti Cache, ALB, and Security Groups.• Good understanding of backend technologies, especially Python, Django, and Django REST Framework.• Good understanding of frontend and mobile security risks.• Experience with Git workflows, pull request reviews, and collaboration with engineering teams.• Ability to identify security issues and provide practical engineering solutions. Preferred Technical Stack Awareness:• Python, Django, Django REST Framework, Channels, Celery, Redis, Postgre SQL, and Simple JWT.• React/Vite applications using React Query, Zustand, axios, Tailwind, and localization.• Flutter applications using BLoC, Dio, GoRouter, Firebase Messaging, and local token storage.• AWS infrastructure and environment-based configurations.• Firebase Admin SDK, SMTP, Open AI APIs, file upload workflows, and PII-heavy systems.<br>Work Conditions & Benefits• Hybrid work model• 2 days off weekly• Medical insurance• Working hours from 9:00 AM to 5:00 PM<br>How to apply Please send your resume to career@eyouth.learning.com and mention the job title in the email subject.

<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 product engineering and cutting-edge technology? Deloitte is seeking a Junior or Experienced Graduate to join our Supply Chain "Product Engineering and Development" practice in Cairo. This is an exciting opportunity for ambitious graduates to dive into tech-enabled projects, with a strong focus on implementing Product Lifecycle Management (PLM) for leading clients across the globe. You'll play a vital role in driving digital transformation, particularly within the consumer and engineering, resources and industrials industries, optimizing product engineering and development and delivering tangible impact from day one. You'll collaborate with a dynamic team of experienced engineers and tech specialists, learning to analyze complex product engineering and development processes, identify areas for innovation, and design smart solutions. This hands-on role means working directly with clients, translating their operational challenges into opportunities for efficiency and growth through advanced systems. If you're eager to make a real difference and shape the future of product engineering and development, this is your chance to learn, grow, and contribute. Connect to your skills and professional experience. You need: A Bachelor's degree in an engineering field (e.g., Pharmaceuticals, Bio Engineering, Computer Science, Chemical Engineering, Mechanical Engineering, Biomedical Engineering, or a related discipline), with graduation in 2024 or 2025. 0 3 years of professional experience in a technical or techno-functional role, ideally within product engineering and development, data analytics, or consulting. Any exposure to PLM functional testing, including the development of automated test scripts and execution frameworks to support high-quality system delivery. A strong academic record. Proficiency in English, both written and spoken, is essential. A demonstrated strong interest in the industrial products, consumer or energy, resources and industrials industries, ideally with relevant coursework, projects, or internships. An eagerness to learn about engineering and manufacturing processes, information systems, and data analytics in an operational context. Being passionate about the latest technology trends and developments. Excellent analytical and problem-solving skills. Strong communication and interpersonal skills, with the ability to articulate ideas clearly. A proactive attitude and the ability to work effectively in a collaborative team environment. Preferred Skills: Exposure to Product Lifecycle Management (PLM), Manufacturing Execution Systems (MES), supply chain, or factory automation concepts, gained through academic or practical experience. Experience with leading PLM platforms such as Siemens Teamcenter, PTC Windchill, Dassault Syst mes ENOVIA/3DEXPERIENCE, or other enterprise PLM solutions Experience using data analysis and AI tools (e.g., Excel, Python, R, or GenAI) to derive insights from structured or unstructured data in academic or project settings. Data management principles and core information technology concepts, with the ability to apply them in an enterprise context. Experience in configuration, testing and deployment process automation (experience with: RedHat, Python, Java automation scripts). 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. Deloitte s clients include many of the world s largest organizations; I wanted to be part of a team that made a difference that I could be proud of. -Dan, T&amp;T Our commitment to you Making an impact is more than just what we do: it s why we re here. So we work hard to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>A Bachelor's degree in an engineering field (e.g., Pharmaceuticals, Bio Engineering, Computer Science, Chemical Engineering, Mechanical Engineering, Biomedical Engineering, or a related discipline), with graduation in 2024 or 2025.</p><p>0 3 years of professional experience in a technical or techno-functional role, ideally within product engineering and development, data analytics, or consulting.</p><p>Any exposure to PLM functional testing, including the development of automated test scripts and execution frameworks to support high-quality system delivery.</p><p>A strong academic record.</p><p>Proficiency in English, both written and spoken, is essential.</p><p>A demonstrated strong interest in the industrial products, consumer or energy, resources and industrials industries, ideally with relevant coursework, projects, or internships.</p><p>An eagerness to learn about engineering and manufacturing processes, information systems, and data analytics in an operational context.</p><p>Being passionate about the latest technology trends and developments.</p><p>Excellent analytical and problem-solving skills.</p><p>Strong communication and interpersonal skills, with the ability to articulate ideas clearly.</p><p>A proactive attitude and the ability to work effectively in a collaborative team environment.</p><p>Preferred Skills:</p><ul><li>Exposure to Product Lifecycle Management (PLM), Manufacturing Execution Systems (MES), supply chain, or factory automation concepts, gained through academic or practical experience.</li><li>Experience with leading PLM platforms such as Siemens Teamcenter, PTC Windchill, Dassault Syst mes ENOVIA/3DEXPERIENCE, or other enterprise PLM solutions</li><li>Experience using data analysis and AI tools (e.g., Excel, Python, R, or GenAI) to derive insights from structured or unstructured data in academic or project settings.</li><li>Data management principles and core information technology concepts, with the ability to apply them in an enterprise context.</li><li>Experience in configuration, testing and deployment process automation (experience with: RedHat, Python, Java automation scripts).</li></ul><p>Required Software Skills</p><p>Proficiency in Microsoft tools (Word, Excel, PowerPoint, Outlook, OneNote, OneDrive, Teams).</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<p>Lead Backend Developer (Python/Django) Location: Cairo/Giza, Egypt (Full-time On-site) Experience: 7+ years of professional software development experience Employment Type: Full-time About the Role We are looking for an experienced Senior/Lead Backend Developer to lead the design, development, and evolution of the backend architecture powering NexusGRID. You will play a key role in building highly scalable, secure, and high-performance backend services capable of processing millions of telemetry records from energy assets while maintaining exceptional reliability and performance. You will work closely with frontend developers, data scientists, DevOps engineers, QA engineers, and product stakeholders to deliver enterprise-grade software used by utilities and energy companies worldwide. This role is ideal for someone who enjoys solving complex engineering challenges, mentoring developers, and shaping the technical direction of a growing software platform. Key Responsibilities Lead the architecture, design, and implementation of backend services. Design scalable REST APIs and backend microservices. Build reliable, secure, and high-performance distributed systems. Develop and maintain enterprise-grade Django applications. Optimize database performance and data models. Design asynchronous processing pipelines using Celery or equivalent technologies. Implement event-driven architectures where appropriate. Ensure code quality through code reviews, automated testing, and CI/CD pipelines. Collaborate with DevOps engineers to improve deployment and infrastructure automation. Work closely with frontend teams to define API contracts. Collaborate with data scientists to productionize machine learning and forecasting models. Mentor junior and mid-level developers through technical guidance and code reviews. Participate in architectural decisions and technology selection. Troubleshoot production issues and drive root cause analysis. Contribute to engineering standards, documentation, and development best practices. Preferred Qualifications Experience with one or more of the following is highly desirable: Django REST Framework Celery Redis RabbitMQ or Kafka WebSockets GraphQL Azure, AWS, or Google Cloud Platform Kubernetes Elasticsearch / OpenSearch TimescaleDB Prometheus &amp; Grafana Nginx Linux server administration Distributed systems Event-driven architectures High-volume data processing IoT platforms Time-series databases Nice to Have Experience developing enterprise SaaS products. Experience in the energy, utilities, IoT, or smart grid sectors. Experience working with telemetry or real-time data systems. Familiarity with protocols such as MQTT or DLMS/COSEM. Experience integrating third-party APIs and industrial systems. Exposure to AI or machine learning deployment workflows. Experience leading agile software teams. What We Look For Strong technical leadership skills. Excellent problem-solving abilities. Passion for writing clean, maintainable, and testable code. Ownership mentality and attention to detail. Excellent communication and collaboration skills. Ability to mentor and inspire other developers. Comfortable working in a fast-paced, product-focused environment. Continuous learner with a passion for modern software engineering. What We Offer Competitive salary package. Opportunity to work on cutting-edge energy technology. Exposure to large-scale international projects. Collaborative and highly technical engineering environment. Career growth and leadership opportunities. Modern development tools and workflows. Flexible working arrangements. Professional training and certification support. Opportunity to make a real-world impact on the future of sustainable energy. Technologies We Use Python Django &amp; Django REST Framework PostgreSQL Redis Celery Docker GitHub &amp; GitHub Actions Azure Cloud REST APIs React (Frontend) TypeScript Linux CI/CD pipelines</p><p><strong>Desired Candidate Profile</strong></p><b>Required Qualifications</b><p>Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. 7+ years of professional backend software development experience. Extensive experience with Python . Strong professional experience with Django , or equivalent enterprise backend frameworks (such as FastAPI, Flask, Spring Boot, ASP.NET Core, or Node.js/NestJS), with the ability to quickly adapt to Django if not already proficient. Strong experience designing RESTful APIs. Deep understanding of object-oriented programming and software design principles. Strong knowledge of relational databases such as PostgreSQL or MySQL. Experience with ORM technologies. Experience building scalable backend architectures. Strong understanding of authentication and authorization (JWT, OAuth2, OpenID Connect). Experience working with Docker. Experience using Git in collaborative development environments. Experience with automated testing and CI/CD pipelines. Strong debugging and performance optimization skills.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b>About this Role</b></p><p>We are seeking a Data Analyst to support Vodafone Enterprise solutions by delivering high-quality insights and reporting to internal stakeholders and customers. The role focuses on analysing KPIs, monitoring inventory and asset performance, and identifying risks that may impact business outcomes. The individual will play a key part in supporting data-driven decision-making and continuous improvement initiatives in a dynamic, customer-focused environment.</p><p>What you’ll do</p><p>Gather, clean, and consolidate data from multiple sources to present accurate inventory and asset status.Produce weekly asset reports outlining current status and highlighting pending customer requests.Perform detailed analysis to identify process gaps, risks, and performance issues, and communicate findings to relevant teams.Facilitate weekly inventory reviews with customers and internal stakeholders, including RAG (Red, Amber, Green) status reporting.Develop weekly and monthly reports focused on NMR conformance and disconnection tracking.Respond to ad-hoc customer requests and queries, including validation of upgrade and bulk requests.Provide actionable recommendations to enhance performance, improve processes, and reduce risk of revenue impact.</p><p>Who you are</p><p>Demonstrates strong analytical thinking and problem-solving capabilities with a structured approach to data interpretation.Communicates effectively in both Arabic and English, presenting insights clearly to both technical and non-technical audiences.Proficient in MS Office tools (Excel, Access, PowerPoint, SharePoint) and experienced in Python and Power BI dashboard development.Experienced in data analysis, with a solid understanding of business processes and data management systems.Able to manage multiple priorities in a fast-paced, deadline-driven environment while maintaining quality standards.Takes initiative, shows accountability, and contributes to continuous improvement efforts.Familiar with working in virtual and collaborative environments across different teams.Knowledgeable in process and quality management, with the ability to document standards and procedures effectively.</p><p>Not a perfect fit?</p><p>Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.</p><p><b><br></b></p><p><b>What's in it for you</b></p><p><b>Opportunity to work on enter</b>prise-level data and analytics solutions within a global organisation.Exposure to cross-functional collaboration with international teams and stakeholders.A role that enables contribution to strategic, data-driven decision-making.Continuous development in advanced analytics tools and reporting practices.A supportive environment that values innovation, improvement, and professional growth.</p><p>What skills you will learn</p><p>Advanced data analysis and interpretation techniques for business decision-making.Dashboard creation and data visualisation using Power BI.Enhanced proficiency in Python for data processing and analytics.Stakeholder management and presentation of insights to diverse audiences.Process optimisation and performance monitoring within enterprise environments.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Demonstrates strong analytical thinking and problem-solving capabilities with a structured approach to data interpretation.Communicates effectively in both Arabic and English, presenting insights clearly to both technical and non-technical audiences.Proficient in MS Office tools (Excel, Access, PowerPoint, SharePoint) and experienced in Python and Power BI dashboard development.Experienced in data analysis, with a solid understanding of business processes and data management systems.Able to manage multiple priorities in a fast-paced, deadline-driven environment while maintaining quality standards.Takes initiative, shows accountability, and contributes to continuous improvement efforts.Familiar with working in virtual and collaborative environments across different teams.Knowledgeable in process and quality management, with the ability to document standards and procedures effectively.</p><p>Not a perfect fit? _x000D_ Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong>Position Overview</strong><br><p><strong>The Remote Full Stack Developer is responsible for designing, developing, and maintaining scalable, high‑performance web applications across both front‑end and back‑end environments. This role requires strong technical expertise, autonomy, and the ability to collaborate effectively in a fully remote, distributed team.</strong></p><br><br><strong>Key Responsibilities</strong><br><p><strong>Architect, build, test, and deploy full‑stack applications, ensuring reliability, security, and maintainability.</strong></p><br><br><p><strong>Develop responsive, accessible user interfaces using modern JavaScript frameworks.</strong></p><br><br><p><strong>Implement server‑side logic, APIs, and integrations using languages such as Node.js, Python, Java, Go, or Ruby on Rails.</strong></p><br><br><p><strong>Collaborate with cross‑functional teams (Product, Design, Data Science, QA) to deliver high‑impact features.</strong></p><br><br><p><strong>Optimize application performance across the stack, identifying bottlenecks and implementing improvements.</strong></p><br><br><p><strong>Participate in code reviews, maintain documentation, and uphold engineering best practices.</strong></p><br><br><p><strong>Stay current with emerging technologies and contribute to continuous improvement initiatives.</strong></p><br><br><p><strong>Work autonomously in a remote environment, owning features end‑to‑end and ensuring timely delivery.</strong></p><br><br><strong>Required Qualifications</strong><br><p><strong>Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent experience).</strong></p><br><br><p><strong>1-5+ years of professional full‑stack development experience.</strong></p><br><br><p><strong>Strong proficiency in front‑end technologies: JavaScript/TypeScript, React, Vue, or Angular.</strong></p><br><br><p><strong>Solid experience with back‑end languages: Node.js, Python, Java, Go, or Ruby on Rails.</strong></p><br><br><p><strong>Experience building and consuming RESTful APIs and working with relational or NoSQL databases.</strong></p><br><br><p><strong>Familiarity with CI/CD pipelines, cloud platforms (AWS, Azure, GCP), and containerization (Docker).</strong></p><br><br><p><strong>Ability to work independently, manage priorities, and communicate effectively in a remote‑first environment.</strong></p><br><br><strong>Preferred Qualifications</strong><br><p><strong>Experience with microservices, GraphQL, or event‑driven architectures.</strong></p><br><br><p><strong>Background in R&amp;D, prototyping, or evaluating emerging technologies.</strong></p><br><br><p><strong>Experience collaborating with data science teams or deploying ML‑powered applications.</strong></p><br><br><p><strong>Prior experience in public‑sector or enterprise consulting environments.</strong></p><br><br><strong>Compensation &amp; Work Environment</strong><br><p><strong>Competitive remote‑work salary ranges typically between $72,000-$210,000 USD depending on seniority and company.</strong></p><br><br><p><strong>Opportunities for professional growth, innovation, and ownership of high‑impact features.</strong></p><br><br><strong>Role Impact</strong><br><p><strong>Full Stack Developers are essential in remote‑first organizations due to their ability to independently own features across the entire stack, reducing handoffs and accelerating development cycles. This role directly influences product quality, user experience, and engineering velocity.</strong></p><br><br> <br><br> </div>

<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks. You'll create challenging tasks and evaluation criteria within realistic simulated environments:</p><p>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history</p><p>Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent</p><p>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient</p><p>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust</p><p>What this is NOT:</p><ul><li>Not data labeling</li><li>Not prompt engineering</li><li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate</li></ul><p>What we look for:</p><ul><li>8+ years in software development</li><li>Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis</li><li>Experience writing tests (functional, integration)</li><li>English proficiency - B2+</li></ul><p><br></p><p><strong>Desired Candidate Profile</strong></p><p><br></p><p>What this opportunity involves: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks. You'll create challenging tasks and evaluation criteria within realistic simulated environments:</p><ul><li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history</li><li>Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent</li><li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient</li><li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust</li></ul><p>What this is NOT:</p><ul><li>Not data labeling</li><li>Not prompt engineering</li><li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate</li></ul><p>What we look for:</p><ul><li>8+ years in software development</li><li>Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis</li><li>Experience writing tests (functional, integration)</li><li>English proficiency - B2+</li></ul><p><br></p>

<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks. You'll create challenging tasks and evaluation criteria within realistic simulated environments:</p><p>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history</p><p>Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent</p><p>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient</p><p>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust</p><p>What this is NOT:</p><ul><li>Not data labeling</li><li>Not prompt engineering</li><li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate</li></ul><p>What we look for:</p><ul><li>8+ years in software development</li><li>Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis</li><li>Experience writing tests (functional, integration)</li><li>English proficiency - B2+</li></ul><p>Why this is hard:</p><ul><li>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.</li><li>Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.</li></ul><p>How it works</p><ol><li>Apply</li><li>Pass qualification(s)</li><li>Join a project</li><li>Complete tasks</li><li>Get paid</li></ol><p>Effort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.</p><p>Compensation: Up to $150/hr equivalent , depending on level and pace. Tasks are estimated at ~30 hours each; you set your own schedule.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>8+ years in software development</li><li>Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis</li><li>Experience writing tests (functional, integration)</li><li>English proficiency - B2+</li></ul>

We're Hiring | Senior Data Scientist | Cairo, Egypt (Onsite)<br>We're looking for an experienced Senior Data Scientist to join a global organization in New Cairo, Egypt.<br>Python | PySpark | Azure | Databricks<br>Key Requirements:✅ 5+ years of hands-on experience in Data Science or Advanced Analytics✅ Strong coding expertise in Python✅ 3+ years of hands-on PySpark experience (Mandatory)✅ Experience building and deploying production-grade machine learning solutions✅ Strong understanding of Machine Learning, Statistics, and Experimentation✅ Experience with large-scale data processing✅ Hands-on experience with Azure and Databricks is highly preferred<br>???? Location: New Cairo, Egypt (Onsite)???? Employment Type: Permanent<br>Important: This opportunity is with a multinational company operating in the global beverage industry, including both non-alcoholic and alcoholic beverage brands. Candidates should ensure they are personally comfortable working for an organization with this business portfolio before applying.<br>If your experience matches the above requirements and you're open to an onsite opportunity in Cairo, I'd love to connect.<br>Please send your CV or connect with me via Linked In.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b>Job Description </b>Data Pipeline Development &amp; Infrastructure Design, build, and maintain scalable data pipelines Develop real-time and batch data processing frameworks for structured and unstructured data. Implement ETL/ELT workflows to ingest data from various sources, ensuring high availability and performance . Optimize data storage and retrieval of data in (near) real time and batch processes Ensure cost-efficient and high-performance data infrastructure that scales with business needs. Data Solutions &amp; AI-Driven Applications develop data pipelines for ML recommenders, search functionality, and AI-enhanced features . Develop and maintain data models, APIs, and integrations to support analytics and customer applications. Support eCommerce-related data solutions , including product recommendations, customer segmentation, and personalization models. Collaboration &amp; Continuous Improvement Work closely with Data Architects, Analysts, and Product Teams to understand data requirements and deliver best-in-class solutions. Monitor and troubleshoot performance issues , ensuring high availability and efficiency of data pipelines. Continuously optimize cost, performance, and scalability of data engineering solutions.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>We are looking for a Senior Data Engineer to design, build, and optimize our Azure and Databricks-based data infrastructure . You will play a critical role in developing scalable ETL pipelines, data ingestion frameworks, and contribute to AI/ML-powered solutions that drive internal decision-making and customer-facing insights. This is a hands-on role that requires expertise in Azure Data Services, Databricks, and Python/SQL . You will work closely with Data Architects, Engineers, and Product teams to develop robust data solutions that power analytics, personalization, and AI-driven customer experiences .</p><ul><li>5+ years of experience as a Data Engineer , working with Apache Spark or bySpark.</li><li>Strong expertise in data pipeline development, ETL workflows, and real-time/batch data processing .</li><li>Experience in big data technologies, and large-scale data storage .</li><li>Familiarity with data governance, security, and compliance best practices and tools</li><li>Proficiency in Python, and SQL, for data transformation, data quality and automation.</li><li>Strong experience in optimizing data performance and cost-efficiency in cloud environments .</li><li>Nice to Have Experience with eCommerce data solutions , such as customer segmentation, recommendation engines, and personalization models.</li><li>Knowledge of event-driven architectures, streaming data processing, and real-time analytics .</li><li>Familiarity with LLM-based AI applications and OpenAI or similar APIs .</li></ul><p></p></section>