Senior Data Engineer

• 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.
• Bachelor'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, an
• Attractive salary and bonus with annual revision.
• 42 hours per week (30 minute 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 skills)