Data Analytics Engineer JP055109
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Key Responsibilities
Design, build and maintain robust data pipelines . Support the ingestion of data from multiple source systems into a hybrid data platform . Work with both: An on-premises Enterprise Data Warehouse (EDW) based on Data Vault methodology A cloud-based data platform using a Medallion Architecture Perform data analysis, modelling and transformation. Ensure data quality and optimise data pipeline performance. Work with stakeholders to identify and define meaningful KPIs for reporting . Implement KPIs, data models and reporting solutions. Contribute to data migration and integration initiatives. Work pragmatically within an Agile environment . Required Skills & Experience We are looking for a strong Data Analytics Engineer with hands-on experience in: SQL – Expert level Power BI – Expert level dbt Data Vault 2.0 Dimensional Modelling / Kimball ETL pipelines and data mapping Enterprise Data Warehousing Microsoft Fabric Databricks DAX Python Jinja Azure DevOps Data Migration Agile ways of working You should also have recent, proven experience as both an Analytics Engineer and a Power BI Business Analyst . Preferred Certifications The following certifications are highly desirable: Microsoft Fabric Analytics Engineer Associate Microsoft Power BI Data Analyst Azure Fundamentals Collibra Data Steward Learning Path dbt Fundamentals Scrum Product Owner A Master's degree is also required. Languages Dutch – Active knowledge French – Active knowledge English – Active knowledge Contract Details
Location:
Brussels, Belgium Work model: Hybrid Start date: 7 September 2026 End date: 31 December 2026 Duration: 4 months Workload: Full-time Daily rate: €750–€980 Important Application Requirement Along with the CV, candidates must provide an answer explaining how they have previously identified which KPIs were important for reporting and how they implemented those KPIs . Applications without an adequate response may not be considered. If you have strong expertise in Data Engineering, Analytics Engineering, SQL, Power BI, dbt, Data Vault 2.0, Kimball modelling and modern data platforms , we would like to hear from you.
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