Data Engineer / Data Analyst

About the role

We are looking for a motivated Data Engineer / Data Analyst to join Inetum’s digital services team. The role focuses on handling large data sets, building efficient pipelines and turning data into actionable insights for our clients.

Key responsibilities

• Design and build robust data pipelines that handle high‑volume data.
• Implement performant data processing workflows using best‑in‑class practices.
• Collaborate with data architects to ensure pipeline scalability and reliability.

Required profile

• Proven experience with data‑warehouse methodologies such as Data Vault 2.0 and Kimball.
• Strong background in developing solutions with Python and SQL.
• Familiarity with version control using Git.
• Understanding of CI/CD principles for data engineering projects.

Required skills

• Python
• SQL
• Git
• Data Vault 2.0
• Kimball methodology
• CI/CD pipelines

What we offer

• Opportunity to work on large‑scale data projects for a European leader in digital services.
• Collaborative environment with 28,000 consultants across 19 countries.
• Access to continuous learning and professional development.