Data Engineer Confirmé F/HSOCOTEC

Let's SOCOTEC!

SOCOTEC is in the Top 10 Best Workplaces® 2026 in France (category >2,500 employees)!

Joining SOCOTEC means joining a close-knit community of experts, a growing company that moves forward and values people and the development of its teams. It also means joining a collective dynamic that makes the difference in its markets: construction, real estate, infrastructure, industry, and environment.

As a leader in building and infrastructure sustainability, SOCOTEC is a community of over 15,000 experts based in 26 countries, all ready to take on challenges in the field of Testing, Inspection, and Certification (TIC) in construction, infrastructure, and industry.

This year, SOCOTEC is recruiting 1,500 new employees.

Join us and share a meaningful profession, serving a positive vision: inventing together the city of tomorrow, safer, more sustainable, and inclusive.

Within the group, you will join the Data & AI Hub: the center of expertise in Data & AI for SOCOTEC's 26 countries. The Hub is experiencing strong headcount growth with internal projects as well as projects for the group's clients.

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.

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

• 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 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.
• Bilingual/native English level required.