Develop end-to-end data pipelines (ingestion, transformation, modeling, exposure) and contribute to the implementation of visualizations in Power BI or Databricks SQL.
Continuously improve the SOCOTEC Lakehouse, particularly in the areas of governance, quality, and data pseudonymization.
Experiment with generative AI solutions applied to data, such as Databricks GenIE, to transform text queries into actionable insights.

Master's degree in Big Data, Computer Science, or Software Engineering with a strong specialization or appetite for data and distributed architectures.
At least 3 years of experience in Data Engineering
Strong mastery of SQL and NoSQL databases (modeling, optimized queries, integrity, and performance).
Good understanding of Big Data architecture and distributed processing tools (Spark, Hadoop, Airflow, Kafka, Delta Lake, etc.).
Prior experience with Databricks would be appreciated.
Good communication skills in English or French.
Experience with collaborative development environments: Git, GitLab, Jupyter Notebooks, VS Code
Valued knowledge of AWS cloud services.
Familiarity with ETL/ELT principles, Data Lakehouse, and DataOps (CI/CD, monitoring, data quality).
Interest in emerging technologies, particularly Generative AI and its integration into Data platforms.
Team spirit, rigor, and sense of collaboration in an agile environment.
Technical curiosity and ability to quickly learn new tools and paradigms.
Autonomy, service-oriented mindset, and taste for solving complex problem

Attractive salary and bonus with annual revision
Compulsory insurance pay as gross monthly salary
42 hours per week (30 minutes early finish every Friday), flexible working hours options
15 annual leave days (Women) & 13 annual leave days (Men) - increasing with length of service & seniority, 15 working from home days each year
Team-building activities, Sport Clubs
Cooperation with colleagues around the world in a leading global group
Strong team spirit in an entrepreneurial environment of a growing company
People values, social responsibility, and sustainability.
Opportunities for self-development and career advancement
Internal training courses (technical, foreign language, soft skill)

SENIOR DATA ENGINEER

Job Description