Job Description
Data Analytics Engineer
We are looking for an experienced Data Analytics Engineer with strong hands-on experience across the full data lifecycle, from data analysis and modelling to pipeline development, orchestration, quality, and performance optimization.
Key Responsibilities
- Design, build, and maintain robust data pipelines
- Develop data ingestion processes from various source systems into a hybrid data platform
- Work with on-premises Enterprise Data Warehouse (EDW) using Data Vault 2.0 and cloud platforms using Medallion Architecture
- Develop and optimize data models using Kimball dimensional modelling
- Build and maintain data transformations using dbt, SQL, and Jinja
- Work with Microsoft Fabric, Databricks, and Power BI
- Support data quality, governance, workflow orchestration, and performance optimization.
- Collaborate with business stakeholders to identify relevant KPIs and reporting requirements
- Work pragmatically within an Agile environment
Requirements
- Master's degree or equivalent.
- Proven recent experience as a Data/Analytics Engineer and Power BI Business Analyst
- Expert knowledge of SQL and Power BI/DAX
- Strong experience with dbt, Kimball dimensional modelling, and Data Vault 2.0
- Experience with Microsoft Fabric, Databricks, Python, and Azure DevOps
- Knowledge of ETL pipelines, data mapping, data migration, and Enterprise Data Warehousing.
- Agile/Scrum experience.
- Relevant certifications such as Fabric Analytics Engineer Associate, Microsoft Power BI Data Analyst, Azure Fundamentals, dbt Fundamentals, or Collibra Data Steward are a plus.
- Good communication skills in Dutch, English, and French
Work Arrangement
- Location: Brussels, Belgium
- Hybrid working
