Senior BI Data Engineer
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Function
Our client is looking for a senior data engineering expert to strengthen its Business Intelligence environment. In this role, you will help design, develop, and maintain a reliable and scalable data platform that supports reporting, analysis, and data-driven decision-making across the organization. You will also play a key technical advisory role, supporting BI and ETL developers with complex challenges and contributing to the quality and continuity of the platform.
Responsibilities
- Design, develop, and maintain ETL and ELT processes.
- Integrate data from a wide range of internal and external sources.
- Build and optimize data warehouses and data marts.
- Develop dimensional data models using proven approaches such as Kimball.
- Implement data solutions in both on-premises and cloud environments.
- Contribute to the further development and modernization of the BI platform.
- Monitor and improve performance, stability, and scalability of data solutions.
- Prepare and maintain technical documentation.
- Support ETL and BI developers with complex technical analysis and implementation challenges.
- Advise on the most suitable technical solution within existing architecture and development standards.
- Assist with performance issues, data integration challenges, and complex incidents.
- Help define and apply technical standards and best practices.
- Act as a technical point of contact for complex data-related questions.
Technical Skills
- Strong experience in data warehousing, data engineering, and data integration.
- Hands-on knowledge of ETL and ELT processes.
- Experience with hybrid environments, combining on-premises and cloud technologies.
- Solid background in Microsoft SQL Server and T-SQL.
- Experience with Microsoft Azure Data Services and Microsoft Fabric.
- Knowledge of SQL Server Integration Services (SSIS).
- Experience with modern data architectures.
- Strong understanding of dimensional modeling, including star and snowflake models.
- Experience with data lake solutions and data quality practices.
- Knowledge of Data Vault is a plus.
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