Data Analytics Engineer Job ID: JP055023

We are looking for an experienced Data Analytics Engineer to design, build, and optimize modern data solutions across the full data lifecycle. You will work with large-scale data platforms, develop robust data pipelines, and deliver high-quality analytics and reporting solutions., * Design, develop, and maintain scalable data pipelines and workflows.

• Build and optimize data models using SQL, dbt, and Kimball dimensional modeling.
• Ingest and transform data from multiple source systems into a Databricks data platform.
• Develop dashboards and executive reports using Power BI.
• Ensure data quality, governance, monitoring, and performance optimization.
• Collaborate with business and technical stakeholders to gather requirements and define KPIs.
• Work in an Agile environment and contribute throughout the entire data lifecycle.

• Expert knowledge of SQL, Power BI, DAX, dbt, Microsoft Fabric, Databricks, Python (Pandas, Apache Spark), Git, and PostgreSQL.
• Experience with Airbyte, Power Platform, Tableau, SAS, UML, VBA, and BPMN.
• Strong data modeling and analytics experience.
• Experience with API documentation and functional/technical analysis.
• Master’s degree or equivalent experience.
• Experience in public sector or social security projects is an advantage.
• DP-600, dbt Developer, or Power BI Data Analytics Associate certifications are a plus.

Languages

• Dutch: Active knowledge
• French: Active knowledge
• English: Passive knowledge