Data Engineer - IA Défense F/H

Thales; Rennes; Sur place; EUR 40 000 - 60 000; Plein temps

Avantages offerts par ce poste

Diversity and inclusion initiatives

Collaborative work environment

Research and development opportunities

Résumé du poste

A leading technology company in Rennes is seeking a Data Engineer specializing in AI solutions for defense and critical infrastructure. This role involves utilizing advanced data engineering skills to enhance data accessibility and security, collaborating closely with a strong team of experts. The ideal candidate will possess a Master’s degree and experience in big data technologies, CI/CD practices, and programming. Join a diverse, inclusive organization committed to innovation and responsibility.

Qualifications

• Master’s degree (BAC +5) and experience in Data/AI Engineering.
• Knowledge of big-data technologies and cloud/on-premise environments.
• Experience in software engineering, MLOps, and DevOps practices.

Responsabilités

• Use data engineering skills to revolutionize data processes.
• Author technical documentation for project specifications.
• Act as liaison between Data Engineering team and stakeholders.

Connaissances

Big Data technologies

Programming in C and Python

DevOps practices

Collaboration in teams

Formation

Master’s degree in engineering or related program

Outils

Hadoop

MongoDB

Docker

Jenkins

GitLab CI

Description du poste

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.