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# BI Data Engineer - SQL Server & Azure

- **Company:** Pauwels Consulting
- **Location:** Brussel, Belgium
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Microsoft Azure, Data as a Services, Data Architecture, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Systems, Data Vault Modeling, Data Warehousing, Dimensional Modeling, Python (Programming Language), Microsoft SQL Server, Power BI, SQL Server Integration Services, Transact-SQL, Cloud Platform System, Azure Data Factory, Apache Spark, Git, Microsoft Fabric, Data Lakes, Information Technology, Star Schema
- **Published:** November 10, 2026
- **Apply:** https://europa.eu/eures/portal/jv-se/jv-details/MzYyOTVmMmMtNDNjMy00MmE5LTg0MWYtOThiN2FmYTE2Njc3IDM?lang=en

## About the Role

* You bring 5+ years of experience in Business Intelligence, data engineering, or data warehousing.
 * You possess advanced proficiency in Microsoft SQL Server, T-SQL, and SSIS.
 * You have extensive knowledge of Kimball methodology and dimensional modeling including star and snowflake schemas.
 * You have experience implementing data solutions with Microsoft Azure Data Services and Microsoft Fabric.
 * You possess a strong background in developing ETL and ELT processes.
 * You have familiarity with Data Lake solutions and modern data architectures.
 * You possess a Bachelor or Master degree in Computer Science or equivalent through experience.
 * You're proactive, solution-oriented, and have strong analytical skills.
 * You are a native speaker of Dutch or French with a good understanding of the second language.

Nice to Haves

 * Experience with Azure Data Factory and Power BI.
 * Knowledge of Spark and Python.
 * Proficiency with Git and Azure DevOps.
 * Understanding of Data Vault modeling.

## Description

* Design and maintain complex ETL and ELT processes to integrate data from various internal and external sources.
 * Develop and optimize data warehouses and datamarts using dimensional modeling techniques such as Kimball.
 * Implement data solutions across both on-premises and cloud environments to support platform modernization.
 * Monitor and ensure the performance, stability, and scalability of the business intelligence platform.
 * Provide technical support and expertise to other developers regarding complex data integration and performance issues.
 * Draft and maintain technical documentation to ensure the continuity and quality of the data architecture.