Senior Data Engineer 

Start Date: 16/02/2026

End Date: 31/12/2026

Location: Brussels (2 days onsite)

Languages: Dutch or French with passive knowledge of the other national language

Job Description:

As a Data Engineer, you will be responsible for developing analytical solutions, including data warehouses and data marts, using the Kimball methodology and the Microsoft stack (SSIS / SSAS) alongside Azure Databricks (Delta Lake, Python, Apache Spark).

Context:

You will be part of the Data Office, which is central to all data-related activities. The role involves working within a multi-disciplinary agile team that includes data engineers, reporting experts, data functional analysts, project managers, data architects, data quality experts, and AI specialists. The Data Engineer will collaborate closely with the Project Leader, Data Functional Analyst, and Data Architect.

Roles & Responsibilities:

• Design, build, deploy, and maintain BI solutions according to established standards, focusing on data ingestion, data warehouse, and data marts, in collaboration with the Technical Lead and Data Architects.
• Test analytics solutions, conduct troubleshooting, and provide maintenance and technical documentation.
• Create visualizations and reports for projects using Power BI.
• Conduct prototype reviews and demos, including training on the data model for business users.
• Work with the Project Leader throughout the project lifecycle to ensure delivery in an agile and pragmatic approach.

Technical Skills:

• Bachelor’s or Master’s degree in Computer Science or equivalent experience.
• Minimum 3 years of experience as a Data Engineer in the Microsoft BI stack (Visual Studio, SSIS, SSAS, SSMS, SSRS, Power BI, SQL Server) and Delta Lake.
• Minimum 2 years of experience with Azure Databricks and Python.
• Strong knowledge of Python (from a data engineer perspective), Pandas, and Apache Spark.
• Good experience in data warehouse design (Kimball dimensional modeling).
• Experience in agile project mode is a plus.

Profile:

• Strong technical skills and data literacy.
• Proactive attitude with a strong sense of ownership and autonomy.
• Strong problem-solving skills with a pragmatic and delivery-focused approach.
• Team player, perseverant, stress-resistant, and flexible.
• Eager to learn and open-minded.