3 days ago
Rennes, FranceMid Level
Responsibilities
- Design and implement data-intensive systems and pipelines for data retrieval, processing, and storage.
- Develop data visualization and decision-support dashboards.
- Integrate Big Data and AI platforms.
- Model data.
- Contribute to data integration, management, valorization, and security across the data lifecycle.
Requirements
- Bac+5 degree in computer science from an engineering school or university Master’s program.
- At least 2 years of professional experience, including experience in data engineering, DataOps, or MLOps.
- Proficiency in at least one data-oriented language such as Python, Julia, or Scala.
- Proficiency in SQL, NoSQL, or scripting.
- Knowledge of Kubernetes and interest in DevOps practices, Ansible, integration, and cloud technologies.
- Ability to use Apache Superset.
- Autonomy, initiative, and strong English communication skills.
Benefits
- Attractive compensation package.
- Continuous skills development through training programs, academies, and internal communities.
- Inclusive and supportive work environment with attention to work-life balance.
- Recognized social and environmental commitments.
- Position based in Rennes, France, within an international team.
Tech Stack
Categories
Data Engineering
About Thales
Thales designs and sells defense, aerospace, space, and digital identity/cybersecurity systems to governments, armed forces, infrastructure operators, and enterprises. Its portfolio spans avionics, radars and sensors, satellites, air traffic management, secure communications, and cybersecurity and identity solutions (bolstered by the 2019 Gemalto acquisition). Headquartered in Meudon, France, Thales is publicly traded on Euronext Paris (HO) and reported €20.6 billion in sales in 2024.