data engineer

senior data scientist

data analyst

senior data analyst

ai data engineer, ai4all

data engineering lead

Deloitte

<div>
 
 Data Engineering, Senior Tech Lead, Cairo, Egypt
 
 
 
 
 Connect to your career at Deloitte
 
 
 
 Deloitte, established globally in 1845, is the world&rsquo;s largest and leading professional services firm, providing Audit &amp; Assurance, Tax &amp; Legal and Consulting and related services to public and private clients spanning multiple industries. Present in more than 150 countries, Deloitte is distinct in its ability to help clients solve their most complex problems, from strategy to implementation.
 
 
 Deloitte innovation hub (DIH) is a strategic initiative established to support our ambition to become the leading business transformation partner of choice for our clients and to expand and scale our delivery footprint across EMEA. With access to a scaled, diverse, highly skilled, motivated, and engaged workforce, DIH is delivering complex technical solutions for clients&rsquo; most complex business problems, across portfolios that include &lsquo;Strategy &amp; Transactions&rsquo;, &lsquo;Customer&rsquo;, &lsquo;Engineering, AI &amp; Data, &lsquo;Enterprise, Technology &amp; Performance&rsquo; and &lsquo;Cyber&rsquo;. 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
 
 
 
 <ul>
 <li>
 Problem-solving skills: Demonstrates the ability to identify and solve complex problems using a structured and logical approach.
 </li>
 <li>
 Systems engineering: You should have experience in managing functional and non-functional requirements and have a deep understanding of systems engineering methodologies.
 </li>
 <li>
 Stakeholder management: Demonstrates the ability to build and maintain positive relationships with stakeholders, and to effectively communicate technical concepts to non-technical audiences.
 </li>
 <li>
 Organizational skills: Is highly organized and efficient and has a proven ability to manage multiple projects simultaneously.
 </li>
 <li>
 Creativity and innovation: Are able to think creatively and come up with new solutions to problems.
 </li>
 <li>
 Communication skills: Is able to communicate effectively with technical and non-technical audiences, both verbally and in writing.
 
 
 </li>
 </ul>
 
 Connect To Your Skills And Professional Experience
 
 
 
 <ul>
 <li>
 10+ years of experience in data engineering
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Cloud computing platforms: AWS/Azure/GCP
 </li>
 <li>
 Programming languages: Python/Java/Scala &amp; Unix Shell scripting
 </li>
 <li>
 Data warehouse technologies: Redshift/Snowflake/Big Query
 </li>
 <li>
 Data lake technologies: Hadoop, Apache Beam, Spark, and Hive
 </li>
 <li>
 Orchestration: Airflow/Control-M/(Any Orchestration tool)
 </li>
 <li>
 Machine learning frameworks: TensorFlow, PyTorch, and scikit-learn
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Lead a team of data engineers in the design, development, and implementation of data engineering solutions.
 </li>
 <li>
 Gather requirements from stakeholders and translate them into technical specifications.
 </li>
 <li>
 Design and implement data pipelines to collect, transform, and load data into data warehouses and data lakes.
 </li>
 <li>
 Maintain and optimize data systems to ensure high availability and performance.
 </li>
 <li>
 Work with other engineering teams to integrate data engineering solutions with other systems.
 </li>
 <li>
 Stay up to date on the latest data engineering technologies and trends.
 
 
 </li>
 </ul>
 
 Connect to your service line - Technology and Transformation
 
 
 
 Distinctive thinking, deep expertise, and collaborative working. That&rsquo;s what connects us. That&rsquo;s what makes us Deloitte. If you want to help solve some of the biggest challenges around, join us. Together, we&rsquo;ll make an impact that matters.
 
 
 
 Personal independence
 
 
 
 Regulation and controls are standard practice in our industry and Deloitte is no exception. These controls provide important legal protection for both you and the firm. We are subject to several audit regulations, one of which requires that certain colleagues abide by specific personal independence constraints. This can mean that you and your "Immediate Family Members" are not permitted to hold certain financial interests (shares, funds, bonds etc.) with audit clients of the firm. The recruitment team will provide further detail as you progress through the recruitment process.
 
 
 
 Connect to your Industry
 
 
 
 &ldquo;What attracted me to Deloitte were the endless opportunities and the collective experience of other like-minded individuals. Deloitte&rsquo;s clients include many of the world&rsquo;s largest organisations; I wanted to be part of a team that made a difference that I could be proud of.&rdquo;
 
 
 <ul>
 <li>
 Dan, Technology &amp; Transformation
 
 
 </li>
 </ul>
 
 Our commitment to you
 
 
 
 Making an impact is more than just what we do: it&rsquo;s why we&rsquo;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.
 
 
 We want you. The true you. Your own strengths, perspective, and personality. So, we&rsquo;re nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution. You can be sure we&rsquo;ll take your wellbeing seriously, too. Because it&rsquo;s only when you&rsquo;re comfortable and at your best that you can make the kind of impact you, and we, live for.
 
 
 Your expertise is our capability, so we&rsquo;ll make sure it never stops growing. Whether it&rsquo;s from the complex work you do, or the people you collaborate with, you&rsquo;ll learn every day. Through world-class development, you&rsquo;ll gain invaluable technical and personal skills. Whatever your level, you&rsquo;ll learn how to lead.
 
 
 
 Connect to your next step
 
 
 
 A career at Deloitte is an opportunity to develop in any direction you choose. Join us and you&rsquo;ll experience a purpose you can believe in and an impact you can see. You&rsquo;ll be free to bring your true self to work every day. And you&rsquo;ll never stop growing, whatever your level.
</div>

Deloitte Innovation Hub | Data Engineering, Senior Tech Lead, Cairo, Egypt

Khazna

<div>
 
 
 About Khazna
 
 
 
 Khazna launched in 2020 with a mission to improve the financial well-being of the underbanked, who have little access to formal financial services by providing access to convenient, effective and secure smartphone-based financial services. Khazna has received the Central Bank of Egypt&rsquo;s first prepaid card license and aims to become the go-to neobank for underbanked consumers across the Middle East. In the next phase of its journey, Khazna is looking to continue scaling up its operations in Egypt and to launch its operations in Saudi Arabia.
 
 
 
 
 
 This is a fun stage in the company's lifecycle as the core foundation has been but it is still early enough to assume a ton of ownership and to help shape the future of the company and its success.
 
 
 
 
 
 Join
 
 Khazna
 
 and contribute your skills and expertise to our mission of revolutionizing digital payments 💳 and driving financial inclusion 🌍 across the region.
 
 
 
 
 
 
 About the Role
 
 
 
 The Data Engineering Manager is responsible for executing Khazna&rsquo;s data platform roadmap as co-defined with the CTO. The role ensures the reliable design, build and operation of scalable data pipelines and infrastructure that support product, risk, finance and operational use cases.
 
 
 This role focuses on data platform setup, delivery excellence, technical leadership, team development and translating strategic direction into high-quality implementation.
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 <ul>
 <li>
 Design, build, and maintain scalable batch and streaming data pipelines.
 </li>
 <li>
 Implement data models aligned with product and operational requirements.
 </li>
 <li>
 Translate the architectural vision into detailed technical designs.
 </li>
 <li>
 Establish engineering standards for data reliability, testing, and monitoring.
 </li>
 <li>
 Build and manage a high-performing data engineering team.
 </li>
 <li>
 Provide technical coaching and mentorship.
 </li>
 <li>
 Collaborate with Product, Risk, Commercial, and Finance teams to prioritize backlog.
 </li>
 <li>
 Implement data access controls and security standards defined by Security and Risk.
 </li>
 <li>
 Ensure technical compliance with internal governance policies.
 </li>
 </ul>
 
 
 
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in Computer Science, Computer Engineering, Information Technology or a related field.
 </li>
 <li>
 8+ years in data engineering or platform engineering.
 </li>
 <li>
 Prior team leadership experience (minimum 1 year of managing direct reports).
 </li>
 <li>
 Solid experience in designing and managing scalable data platforms.
 </li>
 <li>
 Experience working with cloud platforms, preferably GCP.
 </li>
 <li>
 Hands-on experience implementing and maintaining open-source data tools.
 </li>
 <li>
 Proficiency in SQL and NoSQL.
 </li>
 <li>
 Demonstrates the ability to assess, compare and select open-source technologies aligned with business requirements, scalability needs and long-term strategy.
 </li>
 <li>
 Strong stakeholder communication skills
 </li>
 <li>
 Experience in fintech or regulated environments preferred.
 </li>
 </ul>
 
 
 
 
 🚀
 
 Apply now
 
 and be part of a team that is shaping the future of finance in Egypt and Saudi Arabia!
 
 
 
</div>

Data Engineering Manager

Infomineo

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

AI & Analytics - Sr. Software Engineer with AI Background - Cairo

Accenture

<div>
 
 Accenture Technology:
 
 
 
 Through unmatched industry experience, leading-edge technologies, and a global delivery network, Accenture helps organizations accelerate innovation and drive meaningful transformation. By combining data, intelligence, and advanced engineering capabilities, we enable our clients to build scalable, high‑quality data solutions that power business decisions and operational excellence. Visit us at www.accenture.com.
 
 
 
 The Work:
 
 
 
 As a
 
 Data Engineer
 
 , you will be responsible for designing, building, and maintaining robust data solutions that support data generation, collection, migration, and processing across enterprise systems. You will play a key role in developing scalable data pipelines, ensuring data quality, and implementing ETL processes to enable reliable data movement and analytics. This role requires strong technical expertise, ownership of team decisions, and close collaboration with multiple stakeholders to deliver impactful, cross‑team solutions.
 
 
 
 Responsibilities:
 
 
 
 
 <li>
 Design, develop, and maintain end-to-end data pipelines to support data ingestion, transformation, and deployment across systems.
 
 </li>
 <li>
 Implement and manage ETL processes to ensure efficient and reliable data migration and processing.
 
 </li>
 <li>
 Ensure high standards of data quality, consistency, and integrity through continuous monitoring and optimization.
 
 </li>
 <li>
 Act as a subject matter expert, providing technical guidance and contributing to key architectural and design decisions.
 
 </li>
 <li>
 Collaborate with cross-functional teams to identify data requirements and deliver effective, scalable data solutions.
 
 </li>
 <li>
 Lead and support the team to ensure effective execution, timely delivery, and alignment with business objectives.
 
 </li>
 <li>
 Develop innovative data solutions that improve operational efficiency and enable data-driven decision-making.
 
 </li>
 <li>
 Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and scalability.
 
 </li>
 <li>
 Conduct regular data quality assessments and implement continuous improvements.
 
 </li>
 <li>
 Stay current with industry trends, emerging technologies, and best practices in data engineering.
 
 
 
 </li>
 
 Qualifications:
 
 
 
 
 <li>
 minimum 10 Years of experience.
 
 </li>
 <li>
 Master proficiency in Oracle Data Integrator (ODI) is required.
 
 </li>
 <li>
 Master proficiency in Data Migrations is highly recommended.
 
 </li>
 <li>
 Expert proficiency in Data Engineering, Data Pipelines, Data Processing, and Data Access is strongly preferred.
 
 </li>
 <li>
 Strong analytical, problem-solving, and collaboration skills, with the ability to work across multiple teams.
 
 
 
 </li>
</div>

Oracle Data Conversion Manager

Nexus Analytica

<h3>Lead Backend Developer (Python/Django)</h3>Location: Cairo/Giza, Egypt (Full-time On-site) Experience: 7+ years of professional software development experience Employment Type: Full-time<h2> </h2><h2>About Nexus Analytica</h2>Nexus Analytica is a technology company specializing in digital transformation for the energy sector. We develop advanced software platforms that combine data analytics, artificial intelligence, and modern software engineering to help utilities, renewable energy developers, and governments manage increasingly complex energy systems.Our flagship platform, NexusGRID™, integrates data from renewable energy plants, battery energy storage systems (BESS), smart meters, electric vehicle charging infrastructure, and other grid-connected assets to provide real-time monitoring, forecasting, analytics, and intelligent operational decision support.<h2> </h2><h2>About the Role</h2>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.<h2> </h2><h2>Key Responsibilities</h2><ul><li>Lead the architecture, design, and implementation of backend services.</li><li>Design scalable REST APIs and backend microservices.</li><li>Build reliable, secure, and high-performance distributed systems.</li><li>Develop and maintain enterprise-grade Django applications.</li><li>Optimize database performance and data models.</li><li>Design asynchronous processing pipelines using Celery or equivalent technologies.</li><li>Implement event-driven architectures where appropriate.</li><li>Ensure code quality through code reviews, automated testing, and CI/CD pipelines.</li><li>Collaborate with DevOps engineers to improve deployment and infrastructure automation.</li><li>Work closely with frontend teams to define API contracts.</li><li>Collaborate with data scientists to productionize machine learning and forecasting models.</li><li>Mentor junior and mid-level developers through technical guidance and code reviews.</li><li>Participate in architectural decisions and technology selection.</li><li>Troubleshoot production issues and drive root cause analysis.</li><li>Contribute to engineering standards, documentation, and development best practices.</li></ul><h2> </h2><h2>Required Qualifications</h2><ul><li>Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.</li><li>7+ years of professional backend software development experience.</li><li>Extensive experience with Python.</li><li>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.</li><li>Strong experience designing RESTful APIs.</li><li>Deep understanding of object-oriented programming and software design principles.</li><li>Strong knowledge of relational databases such as PostgreSQL or MySQL.</li><li>Experience with ORM technologies.</li><li>Experience building scalable backend architectures.</li><li>Strong understanding of authentication and authorization (JWT, OAuth2, OpenID Connect).</li><li>Experience working with Docker.</li><li>Experience using Git in collaborative development environments.</li><li>Experience with automated testing and CI/CD pipelines.</li><li>Strong debugging and performance optimization skills.</li></ul><h2> </h2><h2>Preferred Qualifications</h2>Experience with one or more of the following is highly desirable:<ul><li>Django REST Framework</li><li>Celery</li><li>Redis</li><li>RabbitMQ or Kafka</li><li>WebSockets</li><li>GraphQL</li><li>Azure, AWS, or Google Cloud Platform</li><li>Kubernetes</li><li>Elasticsearch / OpenSearch</li><li>TimescaleDB</li><li>Prometheus &amp; Grafana</li><li>Nginx</li><li>Linux server administration</li><li>Distributed systems</li><li>Event-driven architectures</li><li>High-volume data processing</li><li>IoT platforms</li><li>Time-series databases</li></ul><h2> </h2><h2>Nice to Have</h2><ul><li>Experience developing enterprise SaaS products.</li><li>Experience in the energy, utilities, IoT, or smart grid sectors.</li><li>Experience working with telemetry or real-time data systems.</li><li>Familiarity with protocols such as MQTT or DLMS/COSEM.</li><li>Experience integrating third-party APIs and industrial systems.</li><li>Exposure to AI or machine learning deployment workflows.</li><li>Experience leading agile software teams.</li></ul><h2> </h2><h2>What We Look For</h2><ul><li>Strong technical leadership skills.</li><li>Excellent problem-solving abilities.</li><li>Passion for writing clean, maintainable, and testable code.</li><li>Ownership mentality and attention to detail.</li><li>Excellent communication and collaboration skills.</li><li>Ability to mentor and inspire other developers.</li><li>Comfortable working in a fast-paced, product-focused environment.</li><li>Continuous learner with a passion for modern software engineering.</li></ul><h2> </h2><h2>What We Offer</h2><ul><li>Competitive salary package.</li><li>Opportunity to work on cutting-edge energy technology.</li><li>Exposure to large-scale international projects.</li><li>Collaborative and highly technical engineering environment.</li><li>Career growth and leadership opportunities.</li><li>Modern development tools and workflows.</li><li>Flexible working arrangements.</li><li>Professional training and certification support.</li><li>Opportunity to make a real-world impact on the future of sustainable energy.</li></ul><h2> </h2><h2>Technologies We Use</h2><ul><li>Python</li><li>Django &amp; Django REST Framework</li><li>PostgreSQL</li><li>Redis</li><li>Celery</li><li>Docker</li><li>GitHub &amp; GitHub Actions</li><li>Azure Cloud</li><li>REST APIs</li><li>React (Frontend)</li><li>TypeScript</li><li>Linux</li><li>CI/CD pipelines</li></ul>

Senior Backend Developer

Lean Technologies

<div>
 
 Lean is expanding our footprint by opening an office in Egypt this summer, and the Engineering Manager, DevOps role is one of our first engineering leadership hires in market.
 
 
 
 
 
 We're a Series B fintech (backed by General Catalyst and Sequoia), and over the last few years we've grown from a category-defining open banking company into a multi-rail financial infrastructure platform powering payments, data, and lending across MENA.
 
 
 
 
 
 Cairo is a long-term investment in a market we deeply believe in, and the people who join now will shape what Lean looks like there for years to come. You'll work alongside a team representing 30+ nationalities, with experience from some of the world's leading fintechs and technology companies. The work is ambitious, the standards are high, and ownership is real.
 
 
 
 
 
 If you're excited about building high-performing teams and world-class infrastructure from the ground up, this is the right moment to join.
 
 
 
 
 
 
 About Lean
 
 
 
 Lean is the leading financial infrastructure provider in the Middle East. We power some of the region's largest companies with APIs that enable payments, account verification, financial data access, and other critical financial infrastructure.
 
 
 What started as the region's pioneering Open Banking platform quickly became the market leader in account aggregation and payment initiation. Today, Lean is evolving into a multi-product infrastructure company powering payments, data, and lending across MENA.
 
 
 We've processed billions of dollars in transactions, serve more than 350 customers&mdash;including Binance, Careem, and e&amp;&mdash;and are backed by General Catalyst, Sequoia, and Shorooq. Following our $67.5M Series B, we're expanding into new markets, opening new offices, acquiring businesses, and building financial infrastructure that has never existed in the region before.
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 We're looking for an Engineering Manager to lead our DevOps and Platform Engineering function You'll be responsible for building and growing a high-performing team that owns the infrastructure, developer platform, cloud architecture, and operational excellence behind Lean's products.
 
 
 This is a hands-on leadership role where you'll combine technical depth with people leadership, partnering closely with Engineering, Security, Product, and Compliance teams to build a scalable, secure, and reliable platform capable of supporting the next stage of Lean's growth.
 
 
 
 
 
 
 What You'll Do
 
 
 
 
 
 <ul>
 <li>
 Build, mentor, and lead a high-performing DevOps and Platform Engineering team in Cairo.
 </li>
 <li>
 Define and execute the platform engineering roadmap, balancing developer productivity, reliability, security, and cost efficiency.
 </li>
 <li>
 Own Lean's cloud infrastructure across AWS, Kubernetes, Terraform, CI/CD, observability, and production operations.
 </li>
 <li>
 Drive reliability through SRE best practices, incident management, postmortems, and continuous improvement.
 </li>
 <li>
 Champion Infrastructure as Code, automation, and self-service developer tooling.
 </li>
 <li>
 Improve deployment velocity while maintaining security and operational excellence.
 </li>
 <li>
 Partner with Security and Compliance teams to meet regulatory and audit requirements across multiple markets.
 </li>
 <li>
 Collaborate with engineering leaders to improve software delivery, platform adoption, and engineering productivity.
 </li>
 <li>
 Establish operational metrics, SLOs, and KPIs that measure platform health and engineering effectiveness.
 </li>
 <li>
 Help shape Lean's engineering culture by hiring exceptional talent and raising the bar across the organization.
 </li>
 </ul>
 
 
 
 
 
 What You'll Bring
 
 
 
 
 
 <ul>
 <li>
 8+ years of experience in Infrastructure, DevOps, SRE, or Platform Engineering, with at least 3 years leading engineering teams.
 </li>
 <li>
 Strong technical expertise in AWS, Kubernetes, Docker, Terraform, networking, and cloud-native architectures.
 </li>
 <li>
 Experience designing and operating highly available, distributed production systems at scale.
 </li>
 <li>
 Deep knowledge of CI/CD pipelines, GitOps, Infrastructure as Code, and modern deployment strategies.
 </li>
 <li>
 Experience with observability platforms, monitoring, logging, and incident response.
 </li>
 <li>
 Strong understanding of security best practices and cloud infrastructure governance.
 </li>
 <li>
 Proven ability to hire, mentor, and grow high-performing engineering teams.
 </li>
 <li>
 Excellent stakeholder management and communication skills, with the ability to influence technical strategy across multiple teams.
 </li>
 <li>
 Experience in fintech, payments, regulated environments, or high-growth startups is highly desirable.
 </li>
 </ul>
 
 
 
 
 
 NB. While we think the above experience could be important, we&rsquo;re keen to hear from people that believe they have valuable experience to bring to the role. If you identify with the team and mission, but not all of our requirements, then please still apply!!
 
 
 
 
 
 
 
 Why Join us?
 
 
 
 We&rsquo;re building the financial infrastructure for MENA. Not as a slogan, as a fact.
 
 
 Since 2019, we&rsquo;ve become the first regulated Open Banking and Open Finance company operating across the UAE and Saudi Arabia. We&rsquo;ve processed billions of dollars. We connect millions of accounts. We enable companies like Binance, Careem, and Etisalat to build products that were previously impossible in this region.
 
 
 Our recent $67.5M Series B from General Catalyst and Sequoia isn&rsquo;t just validation: it&rsquo;s fuel. We&rsquo;re expanding into new markets, launching new products, and setting the pace for what financial innovation looks like in MENA.
 
 
 We solve hard problems. We move fast. We hold ourselves to a high standard. And we&rsquo;re looking for people who&rsquo;ve done this before to help us do it right.
 
 
 If you&rsquo;re motivated by building something that lasts, not just something that scales, Lean is where you need to be.
 
 
 
 
 
 Not only do we offer competitive salaries, private healthcare, and flexible office hours, but we also insist that every member of the team hold a meaningful equity stake in the business to ensure long-term alignment. We'd love you to join us for this journey!
 
 
 
 
 
 
 Lean is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
 
 
 
 
 
 
 
 When applying for a job at Lean Technologies, we will need to collect, use and share Personal Data about you with different members of our team during the application process. This may mean transferring your data to members of the team in one of our office locations worldwide outside of the country you are in. Please refer to our Privacy Notice on our website for more information about how we may use and store your Personal Data
 
 
 
 
 
</div>

DevOps Engineering Manager

Valeo

<div>
 Valeo est une entreprise mondiale de haute technologie qui con&ccedil;oit des solutions r&eacute;volutionnaires pour r&eacute;inventer la mobilit&eacute;. Nous sommes un &eacute;quipementier partenaire des constructeurs automobiles et des acteurs de la nouvelle mobilit&eacute; dans le monde entier. Notre vision ? Inventer une mobilit&eacute; plus verte et plus s&ucirc;re, gr&acirc;ce &agrave; des solutions ax&eacute;es sur la conduite intuitive et la r&eacute;duction des &eacute;missions de CO2. Nous sommes leaders dans nos domaines d'activit&eacute; et reconnus comme l'une des plus grandes entreprises innovantes au monde.
 
 
 Responsibilities Cross-Disciplinary Automation
 
 ~
 
 Design and implement AI workflows that bridge the gap between Systems Engineering and downstream disciplines (HW, SW, Mech) to ensure seamless requirements traceability and consistency.
 
 
 Physics-Informed Modeling~ Develop and deploy Physics-Informed Machine Learning (PIML) models to accelerate simulations in Mechanics and Electrotechnique.
 
 
 
 AI-Enhanced System Engineering
 
 ~ Integrate AI-assisted coding, automated unit testing, and bug prediction tools into the software development pipeline in compliance with ASPICE standards.
 
 
 
 Predictive Project Management
 
 ~ Build predictive analytics dashboards for Technical Project Managers to forecast resource bottlenecks, budget risks, and milestone delays using historical project data.
 
 
 
 Standards &amp; Compliance~
 
 Ensure all AI-automated processes and generated outputs adhere to ISO 26262 (Functional Safety) and ISO/SAE 21434 (Cybersecurity) requirements.
 
 
 
 Toolchain Integration
 
 ~ Lead the integration of AI agents with existing toolchains, including PLM, ALM (Codebeamer), and MATLAB/Simulink.
 
 
 Key competencies
 
 Technical Skills
 
 
 
 AI and Machine Learning
 
 
 <ul>
 <li>
 Generative AI &amp; LLMs
 </li>
 <li>
 Predictive Modeling
 </li>
 <li>
 Computer Vision
 
 
 </li>
 </ul>
 Data Engineering and Management
 
 
 <ul>
 <li>
 Data Pipeline Construction~ Automating the flow of data into AI models.
 </li>
 <li>
 Data Quality Assurance~ Cleaning and labeling datasets to ensure the AI isn't learning from "noise."
 
 
 </li>
 </ul>
 
 Process Automation &amp; Integration (MLOps)
 
 
 
 <ul>
 <li>
 Workflow Orchestration~ Using tools to connect AI outputs to other R&amp;D software (like ELNs or LIMS).
 </li>
 <li>
 Deployment~ Ensuring the AI tools are accessible via user-friendly interfaces.
 
 
 </li>
 </ul>
 Programming &amp; Scripting~
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 Javascript / Google Apps Script
 </li>
 <li>
 Google Docs / Sheets functions &amp; automation
 </li>
 <li>
 HTTP rest API's
 
 
 </li>
 </ul>
 Tooling &amp; ALM~ ( Plus Knowledge)
 
 
 <ul>
 <li>
 Codebeamer (Requirement Management Tool)
 </li>
 <li>
 Google Cloud Platform
 
 
 </li>
 </ul>
 Automation &amp; Integration concepts
 
 
 <ul>
 <li>
 AI &amp; Data Handling~
 </li>
 <li>
 Basic to intermediate experience with AI tools, APIs, or AI agents
 </li>
 <li>
 Interest in applying AI to engineering processes
 
 
 </li>
 </ul>
 Soft Skills
 
 
 <ul>
 <li>
 Strong communication and collaboration skills, including ability to translate technical AI capabilities into tangible benefits for the teams
 </li>
 <li>
 Ability to work autonomously and proactively
 </li>
 <li>
 Analytical mindset with strong problem-solving skills
 </li>
 <li>
 User-oriented mindset (training, support, feedback handling)
 </li>
 <li>
 Time Managment
 
 
 </li>
 </ul>
 Nice to Have
 
 
 Experience with requirement traceability or compliance activities
 
 
 Exposure to AI-assisted automation or low-code/no-code platforms
 
 
 Physics-Informed Machine Learning (PIML)
 
 
 Predictive Project Analytics
 
 
 Understanding of system engineering lifecycle and deliverables
 
 
 
 Aware About Automotive Industry And Embedded Systems.
 
 
 
 Years of Experience 2 to 3 years experience in AI &amp; tools development
 
 
 
 Position~
 
 
 
 AI4all, Engineering Disciplines
 
 
 
 D&eacute;partement~
 
 
 
 GTSC Software
 
 
 
 Schedule~
 
 
 
 Temps plein
 
 
 
 Employee Status~
 
 
 
 CDI
 
 
 
 Type de contrat~
 
 
 
 
 Job Posting Date~
 
 
 
 2026-04-07
 
 
 
 Join Us !
 
 
 Being part of our team, you will join~
 
 
 <ul>
 <li>
 one of the largest global innovative companies, with more than 20,000 engineers working in Research &amp; Development
 </li>
 <li>
 a multi-cultural environment that values diversity and international collaboration
 </li>
 <li>
 more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
 </li>
 <li>
 a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development
 
 
 </li>
 </ul>
 More information on Valeo~ https~//www.valeo.com
 
</div>

System Design Engineer - AI & Automation, LIGHT

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