Data Analytics Engineer JP055109
Summary
Designs, builds, and maintains data pipelines and analytics solutions, focusing on data modeling, transformation, and reporting using SQL, Power BI, dbt, and hybrid data platforms (Data Vault and Medallion Architecture).
Data Analytics Engineer | Data Engineering, Power BI & Modern Data Platforms | Brussels
We are looking for an experienced Data Analytics Engineer with proven hands-on experience delivering complex data projects.
In this role, you will be involved throughout the entire data lifecycle — from data analysis and modelling to workflow orchestration, data quality monitoring and performance optimisation.
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.