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Senior data engineer H/F

Publiée le 29/04/2026

Description du poste

Job Description

Within the SOCOTEC Data & AI Hub, you will join a multidisciplinary team responsible for designing, deploying, and maintaining the group's Data architecture on an international scale.

You will contribute to the modernization of the SOCOTEC Lakehouse, the core of the global analytics platform, and participate in concrete data valorization projects, from design to data visualization.

You will work on three main missions:

  • 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.

The position requires perfect command of English for collaboration with our US teams.

The technical stack used:

  • Amazon Web Services (AWS)
  • Databricks
  • Fivetran
  • Spark for ETL pipelines
  • GitLab for source versioning
  • S3
  • Power BI, the BI tool, managed with the BI teams

At SOCOTEC, careers are built with you towards what suits you best: technical expertise, team management (data lead), etc.

You will have the opportunity to interact internationally (US, UK, ITA, ESP, NL), and international mobility opportunities are possible.

You will demonstrate autonomy, insight, and clear qualities in code writing and communication.



Profil recherché

Qualifications

  • Master's degree in Big Data, Computer Science, or Software Engineering with a strong specialization or appetite for data and distributed architectures.
  • Bilingual/native English level required.
  • 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 architectures and distributed processing tools (Spark, Hadoop, Airflow, Kafka, Delta Lake, etc.).
  • Prior experience with Databricks would be appreciated.
  • 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 problems.


Additional Information

By joining the Data & AI Hub, you will enter an entity with a Start-up spirit. You will become a member of a young team with an HR policy focused on employee satisfaction.

To support you in your skills development, SOCOTEC will fund two internationally recognized certifications: AWS Cloud Practitioner and AWS Certified Machine Learning – Specialty.

You will take part in captivating, large-scale projects where you will have a real role to play!

You will commit to the charter of values that form the foundation of the company:

  • Cohesion & Dynamism
  • Performance & Quality
  • Innovation & Technical Excellence
© Crédits photos : Socotec.

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Senior data engineer H/F

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