Python Developer Jobs in Egypt

Business insight and decision support: Translate strategic and operational questions into clear analyses, dashboards, reports, and recommendations for leadership and functional teams KPI and metrics ownership: Define, document, and govern business metrics across fuel consumption, transaction activity, customer adoption, fleet performance, station coverage, invoicing, product usage, savings, churn, and operational efficiency Dashboard and reporting delivery: Build reliable self-service dashboards for executives, product, sales, finance, operations, customer success, and country or regional teams Customer and product analytics: Analyze user journeys, feature adoption, customer cohorts, fleet behavior, transaction trends, fuel limits, budget usage, and drop-off points to guide product and growth decisions Operations and finance analytics: Support reconciliation, invoicing, station performance, wallet movement, service usage, cost analysis, revenue tracking, and profitability insights Fraud and anomaly insight: Partner with product, operations, and data engineering to identify unusual fuel patterns, tampering indicators, policy exceptions, and monitoring rules that improve trust and control Experimentation and forecasting: Design analyses for pilots, pricing, campaigns, product launches, and operational changes; support forecasting for consumption, transactions, customer demand, and station utilization Data storytelling: Present insights clearly, explain trade-offs, quantify impact, and convert analysis into practical recommendations and action plans Data quality partnership: Work with data engineering to improve source data, metric definitions, documentation, dashboard reliability, and analytics-ready datasets Analytics mentorship: Set standards for analysis quality, dashboard design, metric governance, and stakeholder communication while mentoring less experienced analysts<br><br>Requirements<br><br>Required qualifications<br><br>5+ years of experience in data analytics, business intelligence, product analytics, revenue analytics, operations analytics, or a similar analytical role Advanced SQL skills with the ability to independently extract, transform, join, validate, and analyze complex data from multiple domains Strong experience building dashboards and data products using Power BI, Tableau, Looker, Metabase, Superset, or similar BI tools Strong understanding of KPI design, metric definitions, funnel analysis, cohort analysis, segmentation, trend analysis, forecasting, and root-cause analysis Ability to convert ambiguous business questions into analytical plans, structured hypotheses, and actionable recommendations Experience working with transactional, product, customer, payment, operational, or financial datasets at scale Working knowledge of Python or R for analysis, automation, statistical exploration, or notebook-based research Excellent stakeholder management and communication skills, including the ability to explain technical findings to non-technical audiences Strong attention to data accuracy, definitions, documentation, and reproducibility Comfort working in fast-paced product and engineering environments with changing priorities and high ownership expectations<br><br>Preferred qualifications<br><br>Experience in fintech, fleet management, logistics, mobility, fuel, marketplace, Saa S, or high-volume transaction businesses Experience with dbt, semantic layers, data catalogs, metric stores, or analytics engineering workflows Familiarity with fraud analytics, anomaly detection, operational controls, pricing analysis, or customer savings measurement Experience with A/B testing, causal inference, retention analysis, churn prediction, LTV modeling, or commercial performance analytics Arabic and English business communication skills are a plus for regional stakeholder engagement<br><br>Core analytics stack expectations<br><br>The exact stack may evolve, but the successful candidate should be comfortable operating across the following categories:<br><br>Analysis: SQL, spreadsheets, Python or R, notebooks, statistical methods, and business case modeling BI and visualization: Power BI, Tableau, Looker, Metabase, Superset, or equivalent dashboarding tools Data modeling: dimensional thinking, metric definitions, cohort tables, funnel tables, and curated analytical datasets Collaboration: requirements gathering, stakeholder workshops, documentation, presentations, and decision memos Governance: metric catalog, dashboard ownership, access control awareness, and data quality issue management Product analytics: event data, customer journeys, feature usage, adoption metrics, retention, and conversion analysis<br><br>Benefits<br><br>Competitive salary and benefits package Opportunity to work on cutting-edge technology with a passionate team Career growth and development opportunities A collaborative and inclusive work environment

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. Could you be the full-time SCC Engineer in Cairo we re looking for? Your future role Take on a new challenge and apply your engineering expertise in a new cutting-edge field. You ll work alongside passionate, motivated, and dedicated teammates. You'll be a part of the SCC (Supervision Control Center) Application Design team, where the SCC system comprises three subsystems: ATS (Automatic Train Supervision), SCADA, and the security system. Day-to-day, you ll work closely with teams across the business, both locally and globally, defining and validating ATS site data and parameters, performing sub-system tests, and ensuring configuration management for project data. You ll specifically take care of designing, implementing, and testing ATS system site data, but also supporting integration, testing, and commissioning activities. We ll look to you for: • Defining and validating all ATS site data and parameters to customize for a specific project/product • Creating and maintaining documentation, performing sub-system tests, and verifying traceability • Ensuring configuration management for project data • Supporting integration, testing, and commissioning activities • Collaborating with cross-functional teams to ensure successful project delivery • Proactively identifying and resolving challenges to maintain project timelines All about you We value passion and attitude over experience. That s why we don t expect you to have every single skill. Instead, we ve listed some that we think will help you succeed and grow in this role: • A degree or equivalent in Electrical Engineering, Electronics Engineering, or Control and Automation Engineering • Fundamental knowledge of programming, including Python and SQL • Experience with both Linux and Windows operating systems • Fluency in the English language • Strong analytical capabilities for identifying defects and suggesting corrective solutions • Teamwork skills and transparency in communication • Curiosity and eagerness to learn Things you ll enjoy Join us on a life-long transformative journey the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. You ll also: • Enjoy stability, challenges, and a long-term career free from boring daily routines • Work with new security standards for rail signalling • Collaborate with transverse teams and helpful colleagues • Contribute to innovative projects • Utilize our agile working environment • Steer your career in whatever direction you choose across functions and countries • Benefit from our investment in your development, through award-winning learning • Progress towards becoming a senior application design engineer • Benefit from a fair and dynamic reward package that recognizes your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension) You don t need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, you ll be proud. If you re up for the challenge, we d love to hear from you! Important to note As a global business, we re an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. We re committed to creating an inclusive workplace for everyone. Job Segment: Database, Linux, SQL, Technology</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>A degree or equivalent in Electrical Engineering, Electronics Engineering, or Control and Automation Engineering</p><p>Fundamental knowledge of programming, including Python and SQL</p><p>Experience with both Linux and Windows operating systems</p><p>Fluency in the English language</p><p>Strong analytical capabilities for identifying defects and suggesting corrective solutions</p><p>Teamwork skills and transparency in communication</p><p>Curiosity and eagerness to learn</p><p></p></section>

What started in 2007 with a pizza and a plan has grown into a fast-moving Saa S company empowering manufacturers, distributors, and wholesalers to thrive in complex B2B commerce. <br><br>Our mission is simple: help businesses build stronger relationships through seamless digital commerce. <br><br>At Sana Commerce, you’ll join a team that’s bold, growth-oriented, and customer-obsessed, where every engineer has real ownership and impact. <br><br>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.<br><br>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.<br><br><br><br>Job Description<br><br>Data Pipeline Development & Infrastructure<br><br>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 & AI-Driven Applications<br><br>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 e Commerce-related data solutions, including product recommendations, customer segmentation, and personalization models. Collaboration & Continuous Improvement<br><br>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. <br><br>Qualifications<br><br>6+ years of experience as a Data Engineer, working with Azure and Databricks Strong expertise in data pipeline development, ETL workflows, and real-time/batch data processing. Experience in big data technologies, and large-scale data storage. Familiarity with data governance, security, and compliance best practices and tools Proficiency in Python, and SQL, for data transformation, data quality and automation. Strong experience in optimizing data performance and cost-efficiency in cloud environments. Nice to Have<br><br>Experience with e Commerce data solutions, such as customer segmentation, recommendation engines, and personalization models. Knowledge of event-driven architectures, streaming data processing, and real-time analytics. Familiarity with LLM-based AI applications and Open AI or similar APIs. Why you’ll love working here<br><br>Impact from day one – Join a scale-up where your ideas shape how global businesses operate online. Continuous learning – Access a structured onboarding rated 9.1/10 by previous hires, mentorship, and feedback culture. Hybrid flexibility – Work from our office in Alexandria 3 days per week and from home 2 days. Career growth – Expand your technical and leadership scope in a company built for long-term success. Our values<br><br>At Sana Commerce, our values drive everything we do:<br><br>Champions of Our League – We deliver lasting success, balancing quick wins and long-term value Supercharge Our Customers – We’re revolutionizing B2B commerce together, helping our customers to lead and succeed. Determined to Grow – We embrace challenges, growing and raising the bar for ourselves and our industry. Bold Together – We dare to be bold because we have each other’s back. Ready to build reliability that scales?<br><br>Apply now and help shape the foundation of our next-generation Saa S platform.<br><br><br><br>Additional Information

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Introduction <br> <p>in this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.<br>A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.<br>You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.<br>Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.</p><br><br> <br> <br> Your role and responsibilities <br> <p>As a Data Scientist with expertise in Artificial Intelligence, you will skillfully combine data analysis and business acumen to tackle cognitive computing challenges. You will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. Your primary responsibilities will include: * Design AI Solutions: Architect and deliver AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models, and experience in tools like Github Copilot and Amazon Code Whisperer. * Develop Cognitive Solutions: Create comprehensive cognitive solutions that effectively process and analyze both structured and unstructured data, utilizing expertise in NLP, ML, and other specialized areas such as Image Processing, Video Processing, Voice Processing, or Watson technologies. * Implement AI Frameworks: Apply strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face, to develop and deploy AI models. * Manage AI Project Lifecycle: Oversee the full AI project lifecycle, from research and prototyping to deployment in production environments, ensuring successful project delivery. * Collaborate with Stakeholders: Work with various stakeholders to identify business problems and leverage the power of artificial intelligence for cognitive computing, driving business value through AI-driven solutions.</p><br><br> <br> <br> Required education <br> Bachelor's Degree <br> <br> Preferred education <br> Bachelor's Degree <br> <br> Required technical and professional expertise <br> <p>Technical Skills:<br>* Proficiency in programming languages such as Python, R, or Scala.<br>* Deep understanding of Machine Learning frameworks (e.g., TensorFlow, PyTorch) and data processing tools (e.g., SQL, Pandas).<br>Leadership Skills:<br>* Leadership skills with the ability to inspire and motivate junior team members.<br>* Strategic thinking with the ability to align data science initiatives with business objectives.<br>* Very good communication skills, capable of conveying complex ideas to a variety of audiences.<br>* Proven ability to work collaboratively in projects with cross-functional teams.<br>* Experience in building/scaling data science teams and implementing AI solutions in a large (preferably consulting) organization.<br>* Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and machine learning deployment.<br>* Strong knowledge of Natural Language Processing (NLP) and AI ethics.</p><br><br> <br> <br> Preferred technical and professional experience <br> <p>* Familiarity with Modern UI: Familiarity with modern UI frameworks such as Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, and JQuery, with the ability to apply this knowledge in developing AI solutions. * Understanding of Libraries: Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc., with the ability to apply this knowledge in developing AI solutions. * Operating Systems Knowledge: Experience working with various operating systems (Linux, Windows, iOS, Android), with the ability to apply this knowledge in developing and deploying AI solutions.</p><br><br> <br> <br> <br> <br> <br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Description</span><br><span></span><p>1.Ensure that all log sources are reporting to the SIEM platform in order to maintain the availability of the logs.</p><br><p>2.Ensure all the integrated assets are reporting to their relevant solution (such as Data Activity Monitor, File Integrity Monitor, Firewall Monitor, SOAR, or TIP)</p><br><p>3.Monitor the log sources to make sure the log sources are sending proper logs that are used to identify incidents for reporting, detecting incidents and/or contextual data by designing and creating dashboards &amp; periodical reports to ensure that all the integrations are functional and in healthy posture.</p><br><p>4.Implement and fine tune use cases over different SOC technologies (including but not limited to SIEM) as required by Security Intel team to identify incidents.</p><br><p>5.Implement Runbooks &amp; automations for detection and response over SOAR platform.</p><br><p>6.Maintain &amp; enhance TIP technology according to Threat Intel team operation requirements.</p><br><p>7.Integrate new commercial and non-commercial Threat Intel feeds with the TIP solution to enhance SOC detections, identifications, investigation and response.</p><br><p>8.Recommend, develop and release new integrations to maximize the benefits and efficiencies from a SOAR platform.</p><br><p>9.Generate reports as required by SOC management teams to be presented to the management to be used in further data analysis.</p><br><p>10.Work with IT systems owners to establish SIEM &amp; SOAR technologies integrations to meet the strategic goals of identifying security incidents by defining Use Cases.</p><br><p>11.Deployment and Development of customized and non-customized SIEM connectors for supported and unsupported SOC log sources, and modify configuration files to achieve the full integrations with different log sources.</p><br><p>12.Develop scripts (Java, Python, Bash) whenever required for automating SOAR responses and SIEM log collection.</p><br><p>13.Fine tune collected log events to minimize false positive alerts.</p><br><p>14.Prepare reports to ensure compliance with the SOC requirements from regulatory and security perspectives.</p><br><p>15.Ensure effective records of log resources and SOC relevant platforms, to maintain the integrity and availability of all evidences used for incident response</p><br><p>16.Manage the continuous improvement of systems engineering processes and activities to enhance the efficiency and effectiveness of reporting and alerting.</p><br><p>17.Research, analyse and understand log sources utilized for the purpose of security monitoring, particularly security and networking devices (such as firewalls, routers, anti-virus products, proxies, EDR, operating systems, etc…), in order to increase effectiveness of the log correlation.</p><br><p>18.Provide technical inputs to management during proof-of-concept reviews for new security products to ensure alignment with the set policies and guidelines.</p><br><p>19.Provide technical guidance to the Security teams and/or the lines of business during investigations or incident response in order to help in the investigation and root cause analysis.</p><br><br> <br> <span>Qualifications</span><br><span></span><p>Qualifications &amp; Experience</p><br><p>•Bachelor’s degree of Engineering, Computer Science or equivalent.</p><br><p>•Minimum 3 - 6 years of experience in SIEM Technology platforms (5 - 8 years of experience for senior)</p><br><p>•Working knowledge of Information Security concepts and practices</p><br><p>•Very Good experience of the SIEM, SOAR, TIP, DAM and FIM solutions</p><br><p>•Knowledge of Data Activity Monitor and File Integrity Monitor solutions</p><br><p>•General network knowledge, TCP/IP Troubleshooting</p><br><p>•Familiarity with system log information and what it means</p><br><p>•Understanding of common network services (web, mail, DNS, DHCP, authentication)</p><br><p>•Strong shell scripting experience using Bash, and Python</p><br><p>•Knowledge of systems metrics and performance monitoring</p><br><p>•Experience with virtual environments and containers (Docker, LXC)</p><br><p>•Strong Linux and Windows knowledge</p><br><p>•Good understanding of Database concepts </p><br><p>•Recommended –one or more of- the below certifications:</p><br><p>oSIEM Vendor Related Certificates</p><br><p>oSOAR Vendor Related Certificates</p><br><p>oTIP vendor related certificates</p><br><p>oSANS Global Information Assurance Certification (GIAC)</p><br><p>oEC-Council – CEH</p><br><p>oCISM</p><br><p>oCISSP</p><br><p>Skills</p><br><p>•Very good command of English and Arabic language</p><br><p>•Good communication skills</p><br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><div><span >JOB TITLE: Data Analyst</span></div><div><span ><br></span></div><div><span >TYPE OF CONTRACT: SC-5</span></div><div><span ><br></span></div><div><span >UNIT/DIVISION: TEC</span></div><div><span ><br></span></div><div><span >DUTY STATION (City, Country): MENAEERO</span></div><div><span ><br></span></div><div><span >DURATION: 12 months</span></div><div><span ><br></span></div><div><span ><b>BACKGROUND AND PURPOSE OF THE ASSIGNMENT:</b></span></div><div><span ><br></span></div><div><span >Assisting more than 115.5 million people in 120 + countries each year, the World Food Program (WFP) is the leading humanitarian organization saving lives and changing lives, delivering food assistance in emergencies, and working with communities to improve nutrition and build resilience. As the international community has committed to end hunger, achieve food security and improved nutrition by 2030, one in nine people worldwide still do not have enough to eat. Food and food-related assistance lie at the heart of the struggle to break the cycle of hunger and poverty.</span></div><div><span ><br></span></div><div><span >WFP Technology Division (TEC) is the digital business engine of the World Food Programme, providing the business with multi-pronged and resilient technical capabilities able to respond with the agility required in humanitarian operations. Technology and connectivity are rapidly reaching some of the most vulnerable people and places affected by crisis, but they are also increasingly expanding to the services responding to those same crises. As one of the main humanitarian actors, WFP has the opportunity and the obligation to leverage data and technology to better know and serve those in need by digitally transforming the way it works.</span></div><div><span ><br></span></div><div><span >The job holder will be based and working for WFP Regional Office for the middle east, north Africa, and eastern Europe (MENAEERO) which is located in Cairo. The regional office provides strategic direction, technical guidance, resource mobilization and management support to WFP operations and activities.</span></div><div><span ><br></span></div><div><span >ACCOUNTABILITIES/RESPONSIBILITIES:</span></div><div><span ><br></span></div><div><span >Reporting to the Lead Data Scientist in the MENAEERO Data &amp; Analytics team,the Data Analyst will be responsible for providing the following services in support of regional data, reporting and decision-making initiatives:</span></div><div><span ><br></span></div><div><span >Gather, document and translate business requirements into clear analytical questions, KPIs and reporting specifications.</span></div><div><span ><br></span></div><div><span >Extract, clean and manipulate data from multiple sources (e.g., relational databases, files and APIs) to create analysis-ready datasets.</span></div><div><span ><br></span></div><div><span >Develop and maintain data models (logical and semantic layers) that enable consistent, trusted reporting and self-service analytics.</span></div><div><span ><br></span></div><div><span >Build, publish and optimize Tableau dashboards and reports, ensuring usability, performance and alignment with agreed KPIs</span></div><div><span ><br></span></div><div><span >Write and optimize database queries (SQL) to support recurring reporting, ad-hoc analysis and automation of data pulls.</span></div><div><span ><br></span></div><div><span >Implement basic data quality checks and reconciliation routines; document data definitions, lineage and assumptions to improve transparency and reusability.</span></div><div><span ><br></span></div><div><span >Other tasks as required.</span></div><div><span ><br></span></div><div><span ><b>QUALIFICATIONS &amp; EXPERIENCE REQUIRED:</b></span></div><div><span ><br></span></div><div><span >Minimum Qualifications and Experience</span></div><div><span ><br></span></div><div><span >Two years of relevant experience plus a university degree in Computer Science, Information Systems, Statistics, Economics or a related field. Working knowledge of cloud platforms (e.g., AWS) is considered an advantage.</span></div><div><span ><br></span></div><div><span >Skills and Competencies:</span></div><div><span ><br></span></div><div><span >Advanced Tableau skills (dashboard design, calculated fields, parameters, LOD expressions and performance optimization).</span></div><div><span ><br></span></div><div><span >Strong data manipulation skills using spreadsheets and/or scripting (e.g., Excel Power Query; Python/R as an advantage) to automate repeatable analysis.</span></div><div><br></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Two years of relevant experience plus a university degree in Computer Science, Information Systems, Statistics, Economics or a related field. Working knowledge of cloud platforms (e.g., AWS) is considered an advantage.</p><ul><li>Advanced Tableau skills (dashboard design, calculated fields, parameters, LOD expressions and performance optimization).</li><li>Strong data manipulation skills using spreadsheets and/or scripting (e.g., Excel Power Query; Python/R as an advantage) to automate repeatable analysis.</li><li>Strong database querying skills (SQL), including joins, aggregations, window functions and query optimization basics.</li><li>Strong attention to data quality, validation and reconciliation; ability to identify anomalies and ensure metric consistency across reports.</li><li>Solid understanding of data modelling concepts (star schema, dimensional modelling, metrics layers) and data manipulation techniques to prepare reliable datasets.</li><li>Ability to communicate insights clearly through data storytelling, concise written reporting and stakeholder-ready presentations.</li><li>Excellent interpersonal skills; ability to work inclusively and collaboratively with diverse stakeholders and translate needs into actionable analytics.</li><li>Ability to create and maintain clear documentation (data dictionaries, KPI definitions, dashboard guides) and contribute to data governance practices.</li><li>Ability to work and adapt professionally and effectively in a challenging environment; ability to work effectively in a multicultural team of international and national personnel.</li><li>Self-motivated, ability to work on MVPs in an agile environment; ability to work with tight deadlines.</li><li>Sound security awareness.</li><li>Have affinity with or interest in leveraging data analytics in humanitarian domain as an enabler for durable development, and the UN System.</li><li>Proficiency (read/ write/ speak) in English.</li></ul><p></p></section>

<p><strong>Job description:</strong></p><p>- Design, develop, and test robotic systems and components.</p><p>- Collaborate with cross-functional teams to integrate software and hardware solutions.</p><p>- Conduct research to innovate and improve existing products and processes.</p><p>- Develop software for embedded systems</p><p>- Troubleshoot and resolve issues related to mechatronic systems</p><p>- Analyzing, implementing, and testing the materials developed in a research lab</p><p>- Performing electrical drawings and designs</p><p>- Performing control drawings of (Classic &amp; PLC)</p><p>- Document designs, processes, and test results for future reference.</p><p><strong>Requirements</strong></p><p><strong>Job Requirements:</strong></p><p>- Bachelor’s degree in #Mechatronics Engineering, Robotics, Electrical Engineering, or a related field.</p><p>- Experience from#3-5 years of experience</p><p>- Proven experience in robotics design and development.</p><p>- preferred certified Embedded Software From ITI</p><p>- Basic knowledge of electronics and circuit design.</p><p>- Proficiency in programming languages such as C/C++, Python, or similar.</p><p>- Excellent problem-solving and analytical skills.</p><p>- Experience In classic control and Plc and Ro</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>GlobalFoundries (GF) is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world s most inspired technology companies. With a global manufacturing footprint spanning three continents, GF makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or related field.</li><li>1+ years of experience in digital RTL design using SystemVerilog/Verilog.</li><li>Solid understanding of digital design fundamentals: synchronous design, CDC, FSMs, pipelining, and low-power techniques.</li><li>Hands-on experience with industry EDA tools (synthesis, lint, CDC, simulation).</li><li>Familiarity with scripting (Python, TCL, Perl) for design automation.</li><li>Strong problem-solving skills and ability to work in a cross-functional team.</li></ul><p></p></section>

<ul><li><strong>System Integration:</strong> Combine mechanical elements with sensors, actuators, and electronic control units.</li><li><strong>Automation &amp; Robotics:</strong> Design, program, and maintain automated assembly lines and robotic arms.</li><li><strong>CAD Modeling:</strong> Create detailed 3D models and blueprints using tools like SolidWorks or AutoCAD.</li><li><strong>Control Systems:</strong> Program microcontrollers, Arduino setups, and Programmable Logic Controllers (PLCs).</li><li><strong>Testing &amp; Prototyping:</strong> Build functional prototypes, run simulations, and execute rigorous diagnostic tests.</li><li><strong>Troubleshooting:</strong> Diagnose system failures spanning electrical circuits, software bugs, and hydraulic issues. [1, 2, 3, 4, 5, 6]</li></ul><p><strong>Key Technical Skills</strong></p><ul><li><strong>Programming:</strong> Proficiency in C++, Python, and MATLAB for algorithmic control and data analysis.</li><li><strong>Hardware &amp; Electronics:</strong> In-depth knowledge of circuit boards, sensors, and CAN bus communication protocols.</li><li><strong>Mechanical Systems:</strong> Solid understanding of kinematics, pneumatics, hydraulics, and material strength.</li><li><strong>Industrial Protocols:</strong> Expertise in SCADA systems and industrial network configurations. [1, 2, 3, 4, 5]</li></ul><p>&nbsp;</p><p>&nbsp;</p><p>&nbsp;</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Product Development team is responsible for developing and implementing innovative insurance products, leveraging data analytics and actuarial expertise to assess risk and ensure profitability. Collaborating closely with cross-functional teams, they analyze market trends and customer needs to create solutions that meet regulatory standards and enhance customer satisfaction.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Minimum 8 10 years of experience in Pricing Actuarial Function.</li><li>Fluent in English and Arabic.</li><li>Excellent communication and documentation writeups skills.</li><li>Advance level of Excel, Power Pivot and Power BI.</li><li>Familiar with Alteryx software and python coding.</li><li>Excellent presentation skills.</li><li>High analytical skills to interpret data and support decision-making.</li><li>Excellent team player with strong collaboration skills across departments.</li><li>Agile mindset with the ability to adapt to change and drive continuous improvement.</li><li>Strategic thinking capability to align team objectives with organizational goals.</li></ul><p></p></section>

<div><span style="font-size: 11px;"><b>Location</b></span></div><div><span style="font-size: 11px;"><b>Egypt Delivery Center</b></span></div><div><span style="font-size: 11px;"><b>Offensive Security Tech Lead, Cairo. Egypt</b></span></div><div><span style="font-size: 11px;"><b><br></b></span></div><div><span style="font-size: 11px;"><b>Connect to your career at Deloitte</b></span></div><div><span style="font-size: 11px;"><br></span></div><div><span style="font-size: 11px;">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.</span></div><div><span style="font-size: 11px;"><br></span></div><div><span style="font-size: 11px;">Deloitte innovation hub (DIH) is a strategic initiative 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.&nbsp;</span></div><div><span style="font-size: 11px;"><br></span></div><div><span style="font-size: 11px;">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.</span></div><div><br></div><div><span style="font-size: 11px;">Conduct in-depth penetration testing of web applications to identify vulnerabilities such as SQL injection, cross-site scripting (XSS), cross-site request forgery (CSRF), insecure direct object references (IDOR), and other OWASP Top 10 issues.</span></div><div><span style="font-size: 11px;">Test for business logic flaws, session management issues, and authentication/authorization vulnerabilities in web applications.</span></div><div><span style="font-size: 11px;">Use tools like Burp Suite, OWASP ZAP, and manual techniques to identify and exploit web application vulnerabilities.</span></div><div><span style="font-size: 11px;">Scripting and Automation</span></div><div><span style="font-size: 11px;"><br></span></div><div><span style="font-size: 11px;">Research and implement advanced defense evasion techniques to bypass endpoint detection and response (EDR), antivirus, WAFs, and other security solutions.</span></div><div><span style="font-size: 11px;">Develop obfuscation methods for payloads and exploits to avoid detection by SIEM, IDS/IPS, and other monitoring tools.</span></div><div><span style="font-size: 11px;">Stay updated on the latest evasion techniques and adapt strategies to simulate sophisticated adversaries targeting web applications and other systems.</span></div><div><span style="font-size: 11px;">Code Review &amp; Secure Development:</span></div><div><span style="font-size: 11px;"><br></span></div><div><span style="font-size: 11px;">Perform thorough code reviews to identify vulnerabilities in web applications, APIs, and mobile apps, focusing on languages such as Java, JavaScript, Python, PHP, or C#.</span></div><div><span style="font-size: 11px;">Identify insecure coding practices, such as improper input validation, lack of output encoding, and insecure API integrations.</span></div><div><span style="font-size: 11px;">Collaborate with development teams to provide actionable recommendations for secure coding practices and remediation of identified vulnerabilities.</span></div><div><span style="font-size: 11px;">Mobile and API Security</span></div><div><span style="font-size: 11px;"><br></span></div><div><span style="font-size: 11px;">Bachelor’s degree in Cybersecurity, information technology, computer science, or a relevant degree.</span></div><div><span style="font-size: 11px;">Minimum 7+ years of hands-on experience in penetration testing, red teaming, or related offensive security roles.</span></div><div><span style="font-size: 11px;">Proven experience occupying a leadership role in offensive security</span></div><div><span style="font-size: 11px;">Analytical capabilities, critical thinking, and problem-solving mindset (ability to analyze complex data and information to identify key insights and trends).</span></div><div><span style="font-size: 11px;">Proficient in English speaking and writing.</span></div><div><span style="font-size: 11px;">Flexibility for travel and working hours.</span></div><div><span style="font-size: 11px;">strong proficiency in web application pentesting tools such as Burp Suite, OWASP ZAP, and manual testing techniques.</span></div><div><span style="font-size: 11px;">Proficiency in scripting languages such as Python, PowerShell, Bash, or JavaScript for automation and tool development.</span></div><div><span style="font-size: 11px;">Deep understanding of defense evasion techniques, including bypassing WAFs, EDR, and AV solutions.</span></div><div><span style="font-size: 11px;">Expertise in code review for identifying vulnerabilities in web applications, APIs, and mobile apps.</span></div><div><span style="font-size: 11px;">Strong knowledge of mobile security testing tools (e.g., Frida, MobSF, Drozer) and API testing tools (e.g., Postman, Burp Suite).</span></div><div><span style="font-size: 11px;">Familiarity with common pentesting tools like Metasploit, Nmap, Cobalt Strike, BloodHound, and Kali Linux.</span></div><div><span style="font-size: 11px;">Understanding of cloud environments (AWS, Azure, GCP) and their associated attack vectors.</span></div><div><span style="font-size: 11px;">The following attributes are also preferable:</span></div><div><br></div><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Cybersecurity, information technology, computer science, or a relevant degree.</li><li>Minimum 7+ years of hands-on experience in penetration testing, red teaming, or related offensive security roles.</li><li>Proven experience occupying a leadership role in offensive security</li><li>Analytical capabilities, critical thinking, and problem-solving mindset (ability to analyze complex data and information to identify key insights and trends).</li><li>Proficient in English speaking and writing.</li><li>Flexibility for travel and working hours.</li><li>Strong proficiency in web application pentesting tools such as Burp Suite, OWASP ZAP, and manual testing techniques.</li><li>Proficiency in scripting languages such as Python, PowerShell, Bash, or JavaScript for automation and tool development.</li><li>Deep understanding of defense evasion techniques, including bypassing WAFs, EDR, and AV solutions.</li><li>Expertise in code review for identifying vulnerabilities in web applications, APIs, and mobile apps.</li><li>Strong knowledge of mobile security testing tools (e.g., Frida, MobSF, Drozer) and API testing tools (e.g., Postman, Burp Suite).</li><li>Familiarity with common pentesting tools like Metasploit, Nmap, Cobalt Strike, BloodHound, and Kali Linux.</li><li>Understanding of cloud environments (AWS, Azure, GCP) and their associated attack vectors.</li><li>Relevant certifications such as OSCP, OSWE, OSEP, CRTO, CRTP, GWAPT, GXPN, or equivalent are a plus.</li><li>Active participation in CTF competitions with demonstrated achievements.</li><li>Experience with penetration testing of AI systems and Large Language Models (LLMs), including testing for vulnerabilities like prompt injection, data poisoning, model inversion, or adversarial attacks.</li><li>Experience with adversary emulation frameworks like MITRE ATT&amp;CK or Caldera.</li><li>Knowledge of secure software development lifecycle (SDLC) and DevSecOps practices.</li><li>Contributions to the security community through blogs, tools, or conference talks.</li><li>Familiarity with container security (Docker, Kubernetes) and serverless architectures.</li></ul>

Staff Data Engineer<br>About the Role Intellias is looking for a Staff Data Engineer to join a large-scale digital healthcare initiative focused on building the data and AI foundations that power personalized healthcare experiences. This is a Staff-level Individual Contributor role for an engineer who combines deep data engineering expertise with distributed systems thinking, backend development, and technical leadership. You will design and build scalable data infrastructure, solve complex cross-platform engineering challenges, and establish technical patterns and standards adopted across multiple engineering teams. The role is highly hands-on while also requiring the ability to provide technical direction, mentor experienced engineers, and influence architecture across the broader platform.<br>Project Overview The project is building a FHIR-based healthcare data platform that integrates data from EHRs, healthcare applications, wearables, portals, and other sources to enable connected and personalized healthcare experiences. The platform supports:Real-time and batch data processing Operational and analytical workloads Healthcare interoperability Data-intensive product capabilities Machine learning and AI use cases Scalable, cloud-native data infrastructure<br>The technology landscape includes Python, PySpark, Apache Spark, Kafka, Duck DB, Prefect/Airflow, Fast API, Mongo DB, Docker, Kubernetes, and cloud-native infrastructure. The core engineering challenge is to build secure, reliable, and scalable data foundations capable of processing heterogeneous healthcare data while supporting product engineering, analytics, machine learning, and emerging AI capabilities.<br>What You’ll DoDesign and implement solutions for large-scale, ambiguous data engineering and distributed-systems challenges. Architect, build, and evolve real-time and batch data infrastructure supporting operational, analytical, and AI/ML workloads. Design and scale event-driven data pipelines using technologies such as Kafka, Spark, and PySpark. Build production backend services and APIs using Python and Fast API to support data and platform capabilities. Define scalable approaches to data ingestion, transformation, modeling, validation, storage, and delivery. Design data architectures that address schema evolution, data quality, heterogeneous data integration, scalability, and operational reliability. Establish and champion technical standards, architectural patterns, engineering best practices, and reusable platform components. Serve as a cross-team technical authority for data systems, distributed processing, pipelines, and platform architecture. Improve the reliability, scalability, performance, and cost efficiency of data infrastructure. Implement robust observability, logging, monitoring, and alerting across distributed data systems. Design systems with security, privacy, healthcare compliance, and scalability built in from the beginning. Improve engineering workflows, CI/CD pipelines, automated testing, and production deployment practices. Collaborate closely with Product, ML/AI, Platform, Infrastructure, and application engineering teams to develop shared data capabilities. Provide technical mentorship through architecture reviews, design discussions, pairing, and knowledge sharing. Evaluate emerging data and AI technologies and introduce them where they provide measurable improvements to platform capabilities or engineering efficiency. Remain hands-on with production engineering, validating architectural decisions through implementation and operational experience.<br>What You Bring Required Qualifications8+ years of professional software and data engineering experience, including at least 3 years working with large-scale distributed data systems. Deep expertise designing and building scalable data platforms, pipelines, and distributed processing systems. Strong hands-on proficiency in Python, with production experience using technologies and libraries such as PySpark, Pandas, and Fast API. Strong experience with Apache Spark/PySpark and distributed data processing at scale. Experience designing and implementing real-time and batch data pipelines using Kafka, Spark, or comparable distributed processing technologies. Strong understanding of data architecture, data modeling, schema evolution, data quality, and heterogeneous data integration. Experience with workflow orchestration technologies such as Prefect, Apache Airflow, or equivalent. Experience building production backend services and APIs supporting data and platform capabilities. Strong SQL skills and hands-on experience with modern data storage technologies, including relational and NoSQL databases such as Mongo DB. Strong understanding of distributed systems principles, including scalability, reliability, fault tolerance, consistency, and performance. Experience designing and implementing observability, logging, monitoring, and alerting for distributed data systems. Strong cloud-native engineering experience, including Docker, Kubernetes, CI/CD, and production deployment practices. Proven ability to independently design solutions for ambiguous, large-scale engineering problems spanning multiple systems and teams. Demonstrated experience establishing technical standards, engineering patterns, development practices, and reusable platform capabilities. Strong technical leadership skills, including experience mentoring senior engineers, conducting design reviews, and influencing architecture without formal people-management authority. Strong understanding of security, privacy, and data protection principles for production data platforms. Professional English proficiency sufficient for direct collaboration with U. S.-based engineering, product, ML, and platform teams. Bachelor's degree in computer science, Engineering, or a related field.<br>Nice to Have Experience with FHIR, HL7, C-CDA, or other healthcare interoperability standards. Previous experience in healthcare, Health Tech, or another regulated data environment. Understanding of HIPAA, HITECH, or comparable data privacy and compliance requirements. Experience deploying or supporting LLMs, ML models, AI-enabled data products, or retrieval-based systems. Experience building data infrastructure supporting ML/AI workloads and production inference. Hands-on experience with observability technologies such as Open Telemetry, Datadog, Prometheus, or similar platforms. Experience with Duck DB or modern analytical data-processing technologies. Experience with AI-assisted engineering tools such as Claude Code, Git Hub Copilot, Cursor, or comparable solutions. Contributions to open-source projects or publicly available engineering initiatives.<br>Why Join This Initiative? This role offers the opportunity to shape the data and AI foundations of a modern healthcare platform operating at significant scale. You will work on technically complex challenges spanning:Distributed data processing Event-driven architectures Backend services Cloud-native infrastructure Healthcare interoperability Data platform architecture AI/ML enablement<br>As a Staff-level Individual Contributor, your impact will extend well beyond individual services or pipelines. You will establish architectural patterns, influence technical decisions across teams, mentor experienced engineers, and help define how the broader engineering organization builds and operates data-intensive systems. At the same time, this is fundamentally a hands-on engineering role. You will design systems, build critical components, validate architectural decisions through code, and remain closely connected to how systems behave in production. This position is particularly well suited for an engineer who wants to combine deep technical expertise with organization-wide engineering influence while building data infrastructure that directly enables better healthcare products and emerging AI capabilities.

<h3>Role Summary</h3><p>You lead the technical side of client engagements: design the architecture, plan the work, and lead the team that delivers it. You are accountable for what ships - architecture, quality, and timelines - and the role stays hands-on: writing code, reviewing it, and troubleshooting production are part of the job. Platforms differ from client to client, so we look for principles and depth rather than experience with one specific vendor stack.</p><p>&nbsp;</p><p><strong>The Mission</strong></p><p>Data platforms that work in production: correct data, predictable cost, and a client team able to run them after we leave.</p><p>&nbsp;</p><p><strong>The Tech Stack</strong></p><ul><li><p>Core languages: Python, SQL.</p></li><li><p>Processing: Spark/PySpark, including tuning and troubleshooting.</p></li><li><p>Orchestration &amp; transformation: Airflow or Dagster; dbt.</p></li><li><p>Platforms: Databricks, Snowflake, BigQuery, or Synapse - depth in at least one, and the basis to choose between them.</p></li><li><p>Streaming: Kafka, Kinesis, or Event Hubs; Spark Structured Streaming or Flink.</p></li><li><p>Architecture: lakehouse formats (Delta, Iceberg), dimensional modeling, Lambda/Kappa.</p></li><li><p>Governance &amp; quality: catalogs, lineage, access control, data contracts, monitoring.</p></li><li><p>Infrastructure: Terraform, CI/CD, Docker; Kubernetes basics.</p></li><li><p>Cloud: AWS, Azure, or GCP - one at an advanced level.</p></li></ul><p>&nbsp;</p><p><strong>Your Responsibilities</strong></p><ul><li><p>Own technical delivery on engagements: architecture, plan, quality, and timelines.</p></li><li><p>Lead the engineering team day-to-day - distribute work, review code, unblock people.</p></li><li><p>Build alongside the team: you write and review code, not only design it.</p></li><li><p>Set technical standards on the project - monitoring, quality checks, CI/CD, reproducible environments.</p></li><li><p>Support presales: assessments, technical audits, estimates.</p></li><li><p>Mentor Middle and Senior engineers, and take part in technical interviews.</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><p><strong>Your Skills</strong></p><ul><li><p>Experience: 6+ years in data engineering, including at least one platform you designed and delivered end-to-end.</p></li><li><p>Team leadership: lead teams of 3-8 engineers - plan and distribute work, review code, unblock people, and stay accountable for what the team ships.</p></li><li><p>Delivery ownership: estimate, plan, and re-plan; flag risks early; keep scope and timelines realistic.</p></li><li><p>Python: production code - modules, tests, packaging; frameworks other engineers build on.</p></li><li><p>SQL: complex transformations, execution plans, optimization on large tables.</p></li><li><p>Spark: partitioning, shuffles, memory, skew - you debug jobs from the Spark UI and logs.</p></li><li><p>Modeling: dimensional models, SCD, incremental loads, backfills, late-arriving data.</p></li><li><p>Streaming: at least one production pipeline - delivery guarantees, watermarks, state.</p></li><li><p>Governance: access models, lineage, quality checks, and the SLAs around them.</p></li><li><p>Infrastructure: environments provisioned as code and deployed through CI/CD.</p></li><li><p>Cost: you can explain what a workload costs and reduce it.</p></li><li><p>Client work: requirements gathering, estimates, technical explanations to non-engineers.</p></li><li><p>Growing engineers: mentoring, code review, and setting technical standards on the project.</p></li><li><p>English: B2 or higher.&nbsp;</p></li></ul><p><strong>Nice to Have</strong></p><ul><li><p>Migrations: on-premises to cloud, legacy warehouse to lakehouse, or cross-cloud.</p></li><li><p>Regulated domains: finance, healthcare, or telecom - GDPR, HIPAA, or SOC 2.</p></li><li><p>Certifications: professional level (Databricks, AWS, Azure, GCP).</p></li><li><p>Scala: for Spark workloads.</p></li><li><p>Kubernetes: in production.</p></li></ul><p></p>

<p><strong>About e&amp; CX Solutions</strong></p><p>It’s one of Etisalat affiliates that offers business process outsourcing services. With Our highly skilled team, cutting-edge technology, and a decade of expertise in empowering business growth, we enable you to optimize operations and enhance customer experiences. e&amp; CX Solutions in Egypt cater excellence to your ever-changing lifestyle and ever-expanding demands – covering not only business process outsourcing, but a wide collection of services that suit your various needs. We will continue to be your trusted companion and consultant, enabling connectivity and everything beyond, accelerating the digital world and pioneering future-forward spaces.</p><p></p><p>Job Description:</p><p>Join our team as a GenAI &amp; LLM Engineer and contribute to a range of projects for internal departments within Etisalat by e&amp;, utilizing cutting-edge AI/ML technologies.</p><p>In this role, you will use your extensive knowledge of AI, LLM, and GenAI to work directly with clients &amp; end-users, gathering requirements, assessing them, then developing, testing, and deploying GenAI/LLM-driven solutions on a broad scale. Your responsibilities will include fine-tuning or optimizing LLM models and solutions, where necessary, to improve performance, ensuring our clients benefit from the most efficient and effective AI applications</p><p>Responsibilities:</p><p></p><ul><li><p>Collect requirements from end-users and assess the feasibility and the approach of the solution including exploratory sessions, if required, with focus on solving the actual problem and achieving the target value.</p></li></ul><p></p><ul><li><p>Develop using Python and LLM &amp; GenAI frameworks and tools to create comprehensive AI/ML solutions from conception to deployment.</p></li></ul><p></p><ul><li><p>Engage in the development of CI/CD pipelines, containerize LLM models for cloud or on-premises deployment, conduct tests on these models, and perform ongoing maintenance including support for the entire ML/LLM model lifecycle.</p></li></ul><p></p><ul><li><p>Develop APIs or applications for the integration or interaction with the developed solutions or for interfacing the solution with the end-users.</p></li></ul><p></p><ul><li><p>Construct prototypes and Proofs of Concept (PoC) to validate the practicality and effectiveness of the solutions, along with offering architectural designs.</p></li></ul><p></p><ul><li><p>Undertake research, design, development, and training of novel LLM applications aimed at addressing complex issues in real-world scenarios.</p></li></ul><p></p><ul><li><p>Offer technical advice to clients or end-users on the integration and utilization of LLM technologies.</p></li></ul><p></p><p><strong>Requirements</strong></p><p></p><ul><li><p>Job requirements:</p></li></ul><p></p><ul><li><p>Bachelor's Degree in Computer Science, Software Engineering or any related field.</p></li></ul><p></p><ul><li><p>A minimum of 3 years of direct experience in AI/ML technologies and software engineering, including extensive work with Python and over a year in developing and managing scalable API solutions.</p></li></ul><p></p><ul><li><p>At least 2 years of work experience in NLP, one year in working with Large Language Models (LLMs) and GenAI technologies such as OpenAI GPT-4, Langchain, HuggingFace Transformers, LLaMa2, Falcon, etc., one year in prompt engineering, and managing vector databases.</p></li></ul><p></p><ul><li><p>2+ years of expertise in cloud platforms like Azure (preferred) or AWS, along with 2 years in MLOps practices, CI/CD pipeline creation, containerization, and model deployment in both test and production settings.</p></li></ul><p></p><ul><li><p>The ability to work well within a team, fluency in English, and the capacity to effectively explain complex LLM functionalities and limitations to those without a technical background.</p></li></ul><p></p>

<p><strong>About e&amp; CX Solutions</strong></p><p>It’s one of Etisalat affiliates that offers business process outsourcing services. With Our highly skilled team, cutting-edge technology, and a decade of expertise in empowering business growth, we enable you to optimize operations and enhance customer experiences. e&amp; CX Solutions in Egypt cater excellence to your ever-changing lifestyle and ever-expanding demands – covering not only business process outsourcing, but a wide collection of services that suit your various needs. We will continue to be your trusted companion and consultant, enabling connectivity and everything beyond, accelerating the digital world and pioneering future-forward spaces.</p><p></p><p>Join our team as a GenAI &amp; LLM Engineer and contribute to a range of projects for internal departments within Etisalat by e&amp;, utilizing cutting-edge AI/ML technologies.</p><p>In this role, you will use your extensive knowledge of AI, LLM, and GenAI to work directly with clients &amp; end-users, gathering requirements, assessing them, then developing, testing, and deploying GenAI/LLM-driven solutions on a broad scale. Your responsibilities will include fine-tuning or optimizing LLM models and solutions, where necessary, to improve performance, ensuring our clients benefit from the most efficient and effective AI applications.</p><p></p><p>Collect requirements from end-users and assess the feasibility and the approach of the solution including exploratory sessions, if required, with focus on solving the actual problem and achieving the target value.</p><p>•</p><p>Develop using Python and LLM &amp; GenAI frameworks and tools to create comprehensive AI/ML solutions from conception to deployment.</p><p>•</p><p>Engage in the development of CI/CD pipelines, containerize LLM models for cloud or on-premises deployment, conduct tests on these models, and perform ongoing maintenance including support for the entire ML/LLM model lifecycle.</p><p>•</p><p>Develop APIs or applications for the integration or interaction with the developed solutions or for interfacing the solution with the end-users.</p><p>•</p><p>Construct prototypes and Proofs of Concept (PoC) to validate the practicality and effectiveness of the solutions, along with offering architectural designs.</p><p>•</p><p>Undertake research, design, development, and training of novel LLM applications aimed at addressing complex issues in real-world scenarios.</p><p>•</p><p>Offer technical advice to clients or end-users on the integration and utilization of LLM technologies.</p><p><strong>Requirements</strong></p><ul><li><p>Bachelor's Degree in Computer Science, Software Engineering or any related field.</p></li></ul><ul><li><p>A minimum of 3 years of direct experience in AI/ML technologies and software engineering, including extensive work with Python and over a year in developing and managing scalable API solutions.</p></li></ul><ul><li><p>At least 2 years of work experience in NLP, one year in working with Large Language Models (LLMs) and GenAI technologies such as OpenAI GPT-4, Langchain, HuggingFace Transformers, LLaMa2, Falcon, etc., one year in prompt engineering, and managing vector databases.</p></li></ul><ul><li><p>2+ years of expertise in cloud platforms like Azure (preferred) or AWS, along with 2 years in MLOps practices, CI/CD pipeline creation, containerization, and model deployment in both test and production settings.</p></li></ul><ul><li><p>The ability to work well within a team, fluency in English, and the capacity to effectively explain complex LLM functionalities and limitations to those without a technical background.</p></li></ul><p></p>

<p>The Resource Management Operation Specialist team delivers end-to-end analytics solutions across a wide range of internal data domains, covering resource management, data ingestion and transformation through to dashboard and analytics consumption, with the people data domain being a key area of focus. While end-user outputs include dashboards and ad-hoc analytics, these are underpinned by centrally managed production data pipelines and curated data assets. The team builds and maintains these centrally owned assets for use across the business, ensuring solutions are consistent, reusable, and straightforward to support over time. As part of the Resource Management Operation Specialist, the candidate will need to be focused on back-end data engineering and data model design, contributing to the development and operation of production data pipelines and data assets. Work is delivered primarily in Databricks using PySpark and Spark SQL, with a strong emphasis on quality, reusability, and long-term sustainability.</p><p>Scope of responsibility</p><p>The role will be responsible for the following activities:</p><ul><li>Resource Management Operation Stakeholder management, communication, and organization</li><li>Designing and evolving data models and pipeline architectures that support analytics and reporting use cases.</li><li>Building and maintaining production-grade data pipelines in Databricks using PySpark and Spark SQL.</li><li>Supporting production data pipelines by investigating data defects or failures when raised, performing root cause analysis, and implementing permanent fixes.</li><li>Translating problem statements and reporting needs into well-structured data solutions, operating with minimal guidance.</li><li>Working with the internal team and, where appropriate, business stakeholders to clarify data requirements from a data model and engineering perspective.</li><li>Championing well-designed, consistent data models that enable reliable downstream analytics and reduce duplication.</li><li>Contributing to shared engineering standards through code review, reusable utilities, and common design patterns</li><li>Producing clear code-level documentation and contributing to shared technical documentation to support knowledge transfer and long-term maintainability.</li><li>Managing code in Git-based version-controlled environments.</li></ul><p>Required technical capability</p><p>The role requires strong, hands-on experience in:</p><ul><li>Resource Management</li><li>Data engineering using Databricks, with practical experience in PySpark and Spark SQL.</li><li>Designing data models optimised for analytics and reporting consumption.</li><li>Building, operating, and improving production data pipelines in an enterprise environment.</li><li>Using Git for version control, including managing branches, pull requests, and participating in code reviews.</li><li>Writing and maintaining clear, well-structured code suitable for long-term ownership and reuse.</li><li>Broader Python development to support data engineering workflows beyond core transformations.</li><li>Working alongside downstream analytics tools such as Power BI, with sufficient understanding to ensure data models support efficient consumption (without owning dashboard or semantic model development).</li></ul><p><strong>Desired Candidate Profile</strong></p><p>The role requires strong, hands-on experience in:</p><ul><li>Resource Management</li><li>Data engineering using Databricks, with practical experience in PySpark and Spark SQL.</li><li>Designing data models optimised for analytics and reporting consumption.</li><li>Building, operating, and improving production data pipelines in an enterprise environment.</li><li>Using Git for version control, including managing branches, pull requests, and participating in code reviews.</li><li>Writing and maintaining clear, well-structured code suitable for long-term ownership and reuse.</li><li>Broader Python development to support data engineering workflows beyond core transformations.</li><li>Working alongside downstream analytics tools such as Power BI, with sufficient understanding to ensure data models support efficient consumption (without owning dashboard or semantic model development).</li></ul>

<p>We are seeking a highly skilled and motivated Customer Project Technical Engineer to join our engineering team. The ideal candidate will be responsible for conducting advanced power system studies, including load flow, short circuit, transient stability, and protection coordination analyses. This role plays a critical part in ensuring the reliability, efficiency, and safety of electrical power systems for utility, industrial, and renewable energy clients.</p><p>You will play a key role in delivering high-quality engineering solutions to our customers. You will be responsible for the technical execution of customer projects, ensuring alignment with customer requirements, Schneider Electric standards, and industry best practices. This role requires strong technical expertise in electrical engineering, project management skills, and a customer-centric mindset.</p><p><b>Key Responsibilities:</b></p><ul><li>Perform power system studies using industry-standard software (ETAP and Ecodial).</li><li>Conduct load flow, short circuit, arc flash, Harmonics Analysis, Relay coordination, motor starting, transient stability analyses, Cable Ampacity and Sizing.</li><li>Develop and validate system models based on client data and field measurements.</li><li>Analyze study results and prepare detailed technical reports and recommendations.</li><li>Support the design and optimization of electrical systems for new and existing facilities.</li><li>Collaborate with project managers, design engineers, and clients to define study scopes and deliverables.</li><li>Ensure compliance with relevant standards (e.g., IEEE, IEC, NERC, NFPA 70E).</li><li>Provide technical support during commissioning and troubleshooting of power systems.</li><li>Lead the technical execution of customer projects from design to delivery, ensuring compliance with specifications, timelines, and budgets.</li><li>Collaborate with project managers, sales teams, and customers to define technical requirements and propose optimal solutions.</li><li>Prepare and review technical documentation including single-line diagrams, schematics, layouts, and bills of materials.</li><li>Provide technical support during installation, commissioning, and post-sales phases.</li><li>Ensure adherence to Schneider Electric s quality, safety, and sustainability standards.</li><li>Coordinate with global engineering teams and suppliers to ensure seamless project execution.</li><li>Identify and mitigate technical risks throughout the project lifecycle.</li><li>Continuously improve engineering processes and contribute to knowledge sharing within the team.</li></ul><p>Qualifications:</p><ul><li>Education: Bachelor s degree in Electrical Engineering or a related field.</li><li>Experience: 3+ years of experience in power system analysis or electrical engineering.</li><li>Experience with simulation tools such as ETAP.</li><li>Skills: Strong understanding of power system theory and protection schemes.</li><li>Proficiency in interpreting electrical drawings and single-line diagrams.</li><li>Excellent analytical, problem-solving, and communication skills.</li><li>Ability to manage multiple projects and meet deadlines.</li><li>Preferred Qualifications: Experience with renewable energy integration and grid interconnection studies.</li><li>Familiarity with scripting or automation in Python, MATLAB, or similar tools.</li></ul><p>Let us learn about you! Apply today.</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><ul><li>Education: Bachelor s degree in Electrical Engineering or a related field.</li><li>Experience: 3+ years of experience in power system analysis or electrical engineering.</li><li>Experience with simulation tools such as ETAP.</li><li>Skills: Strong understanding of power system theory and protection schemes.</li><li>Proficiency in interpreting electrical drawings and single-line diagrams.</li><li>Excellent analytical, problem-solving, and communication skills.</li><li>Ability to manage multiple projects and meet deadlines.</li><li>Preferred Qualifications: Experience with renewable energy integration and grid interconnection studies.</li><li>Familiarity with scripting or automation in Python, MATLAB, or similar tools.</li></ul>

Role Objectives:The Business Analyst is responsible for developing and maintaining financial reports and management dashboards. The role will focus on consolidating data from multiple stakeholders, transforming it into actionable insights, and delivering high-quality reports to management using Power BI. Roles & Responsibilities:Own and develop financial reporting covering the full Financial Statements. Consolidate data from multiple stakeholders (Finance, Commercial, Operations, Production, etc.). Design, build, and maintain Power BI dashboards for management reporting. Prepare and maintain daily, weekly, and monthly business reports, ensuring accuracy and timely delivery. Deliver detailed financial analysis including P&L, performance tracking, contribution margin, and Actual vs Budget analysis. Analyze trends, identify performance gaps, and provide variance explanations with actionable recommendations. Ensure data accuracy, consistency, and alignment across all reports. Collaborate with Finance, FP&A, and cross-functional stakeholders to ensure the timely delivery of high-quality reporting and business insights. Support senior management with ad-hoc analysis and insights. Work closely with Finance / FP&A leadership while owning execution and delivery. Required Education, Knowledge, And Skills:2-3 years of experience in Data Analysis or Financial Reporting. Advanced Power BI experience (must-have). Strong hands-on experience with SQL, Python for data manipulation and automation. Experience handling large datasets from multiple sources. Solid understanding of P&L structure, cost analysis, and contribution margin. Good understanding of budgeting and forecasting concepts. Ability to analyze trends, variances, and performance drivers. Proven experience working with senior stakeholders and management.

<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p><p>What this opportunity involves</p><p>Frontier coding agents are already good at passing tests. We measure whether they pass them the right way .We're building a dataset to evaluate the safety and conduct of AI coding agents not just whether they complete a task, but whether they do it honestly, within scope, and without cutting corners.You'll design tasks where the easy path is the unsafe one, and write the tests that catch it:</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 that pair a benign development goal with a tempting unsafe shortcut: scope creep, policy violations, data corruption, over-permissive changes</li><li>Write tests that verify whether the agent completed the task the right way catching corners cut, not just checking outputs</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; Not prompt engineering; Not cybersecurity or red-teaming there is no attacker in the scenario. Cybersecurity experience is a nice-to-have but not a requirement. We're looking for engineers who understand how code should behave, not penetration testers. Strong software engineers, not security specialists;</li><li>Not writing code from scratch the agent writes most of the code; you design the situation and evaluate the outcome;</li></ul><p><b>What we look for</b></p><ul><li>4 5+ years in software development;</li><li>Core stack: Python, JavaScript/TypeScript;</li><li>Strong test design skills functional and integration tests that separate safe from unsafe completion, not just correct from incorrect;</li><li>Hands-on experience with coding agents (Claude Code, GitHub Copilot CLI, Codex, or similar);</li><li>Familiarity with GitHub PRs and CI workflows as a user;</li><li>Stack breadth is welcome, not a filter. Tasks simulate real repositories with databases, CI pipelines, and deploy scripts, so wider backend and infrastructure exposure is genuinely useful but you don't need to be an expert in every layer;</li><li>English proficiency B2+</li></ul><p>Why this is hard</p><p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. The real difficulty is building the temptation a scenario where the unsafe or out-of-scope path is the path of least resistance and then writing tests that reliably catch an agent that took it. Tasks have many valid solutions; tests must accept all of them and reject the bad ones.</p><p><span style="font-size: 11px;">sed on their requirements.</span></p><p><strong>Desired Candidate Profile</strong></p><ul><li>4 5+ years in software development;</li><li>Core stack: Python, JavaScript/TypeScript;</li><li>Strong test design skills functional and integration tests that separate safe from unsafe completion, not just correct from incorrect;</li><li>Hands-on experience with coding agents (Claude Code, GitHub Copilot CLI, Codex, or similar);</li><li>Familiarity with GitHub PRs and CI workflows as a user;</li><li>Stack breadth is welcome, not a filter. Tasks simulate real repositories with databases, CI pipelines, and deploy scripts, so wider backend and infrastructure exposure is genuinely useful but you don't need to be an expert in every layer;</li><li>English proficiency B2+</li></ul>

Sarmad is on the lookout for a Junior Dev Ops Engineer who will play a pivotal role in optimizing our development and operational processes. This position is ideal for someone who thrives in a collaborative environment and is passionate about utilizing cutting-edge technology to streamline workflows. If you have a strong background in Dev Ops practices and are eager to lead initiatives that drive efficiency, we want you on our team!<br><br>Key Responsibilities:<br><br>Design and implement robust CI/CD pipelines to automate processes Collaborate closely with development teams to enhance system performance and reliability Automate deployment processes and system monitoring Provide technical guidance and mentorship to junior team members Conduct regular system audits and performance tuning Document infrastructure and process workflows effectively Respond to and troubleshoot multiple production environments during on-call duties<br><br>Requirements<br><br>Minimum of 1 year of experience in a Dev Ops or similar role Familiar with cloud services such as AWS, Azure, OCI, or GCPExperience with container orchestration (Docker, Kubernetes) Familiarity with CI/CD tools like Jenkins, Argo CD, Git Lab, or Circle CIKnowledge of Infrastructure as Code principles using Terraform, Cloud Formation, or Ansible Strong scripting skills in languages such as Python, Ruby, or Bash Experience with monitoring and logging solutions (e.g., ELK Stack, Sentry, Datadog, New Relic, etc...) Familiar with Dev Sec Ops (concept and tools) Solid understanding of networking concepts and protocols Strong analytical and problem-solving abilities Bachelor's degree in Computer Science, Engineering, or a relevant field<br><br>Benefits<br><br>Hybrid work model Healthy working environment Medical Insurance Social Insurance