Data Engineer

Data Engineer - IA Défense F/H Location: Rennes, France. Based in Rennes. Company: Thales – a global leader in high‑tech defense, aviation & spatial, and cyber & digital. Thales invests around €4 billion annually in research & development, focusing on AI, cybersecurity, quantum, cloud, 6 G, and more. The group employs about 81 000 people across 68 countries. Join the CortAIx initiative, a new entity aimed at delivering secure AI solutions for armed forces, aviation, and critical infrastructure operators. Responsibilities Use data engineering skills to revolutionize data collection, processing, and storage, making data accessible, secure, and actionable for the organization. Author detailed technical documentation defining project specifications and data requirements, ensuring objectives are understood and achieved through close collaboration. Act as the main liaison between the Data Engineering team, internal and external clients, and other Thales professionals, facilitating smooth communication and coordination. Apply DevOps and Continuous Delivery methodologies to accelerate AI development cycles, leveraging modern backend technologies (Python, Java, MongoDB) and agile practices. Configure and maintain essential DevOps/DevSecOps tools—build/CI/CD systems and code repositories—to support an agile and secure development culture within CortAIx. Manage on‑premise infrastructure interactions, integrating and maintaining AI solutions that meet strict defense sector security and sovereignty requirements. Lead the exploitation of data and AI at CortAIx, pushing the limits of what is possible in defense and beyond, while promoting ethical and responsible AI. Qualifications Master’s degree (BAC +5) in engineering or a related program with experience in Data/AI Engineering, including model deployment and maintenance. Knowledge of big‑data technologies and of cloud/on‑premise environments. Experience in software engineering, MLOps, and DevOps practices. Motivated, autonomous, and proactive. Highly available and highly responsive. Strong team spirit and collaborative mindset. Competences Deep expertise in Big Data technologies such as Hadoop, MapReduce, MongoDB, and Cassandra for designing scalable data architectures. Proficiency in programming languages C and Python, and backend framework development. Comprehensive understanding of cloud and on‑premises environments for scalable AI deployment. Solid grasp of DevOps practices, CI/CD, and DevSecOps with tools like Jenkins, GitLab CI, and Docker. Strong problem‑solving, critical thinking, and communication skills for effective teamwork. Experience building and maintaining data pipelines in collaboration with Data/AI scientists, emphasizing efficiency and scalability. What we can do together Revolutionize data collection, processing, and storage to enable advanced AI systems that are more accessible, secure, and exploitable. Create comprehensive technical documentation to align stakeholders on AI projects. Serve as the key point of contact between Data Engineering, internal and external stakeholders, and other Thales professionals. Accelerate AI development through DevOps and Continuous Delivery, leveraging cutting‑edge backend technologies. Maintain DevOps/DevSecOps tooling and build/CI/CD pipelines for an agile, secure culture. Integrate and maintain on‑premise infrastructure, ensuring strict security, frugality, and sovereignty compliance. Push the boundaries of data exploitation and AI at CortAIx, championing ethical and responsible AI. The role will be based in Rennes, where you will join a team of over 600 AI experts and 100 doctoral candidates in AI each year, working in a collaborative and inclusive environment. Thales is a Handi‑Engagé company, committed to diversity and inclusion. Apply now and join a forward‑thinking, responsible AI organization. #J-18808-Ljbffr