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.

Management, Data Management, SQL, Python