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# Quality & Data Analytics Engineer

- **Company:** Birkenstock digital GmbH
- **Location:** Köln, Germany
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Structures, Meta-Data Management, Performance Tuning, Power BI, Standard Sql, Technical Data Management Systems, Snowflake, Microsoft Fabric, Information Technology, Data Lineage, Data Analytics, Data Management, Semantic Modeling, Databricks
- **Published:** October 11, 2026
- **Apply:** https://www.arbeitsagentur.de/jobsuche/jobdetail/10001-1003824450-S

## About the Role

University degree in Data Science, Computer Science, Business Informatics, Engineering, Mathematics or a comparable field

 - Several years of professional experience in Data Analytics, Business Intelligence, Data Engineering or a comparable role
 - Experience with modern cloud-based data platforms such as Microsoft Fabric, Snowflake or Databricks
 - Very good knowledge of Microsoft Power BI, including data modeling, DAX and performance optimization
 - Very good SQL skills and experience with ETL/ELT processes and heterogeneous data sources
 - Strong experience in data and semantic modeling, particularly dimensional/star-schema modeling
 - Understanding of Data Governance, Data Quality, metadata management and data lineage
 - Experience in translating business requirements into technical data solution
 - Fluent English, both written and spoken

## Description

Develop and maintain the Quality Management data and analytics landscape in close collaboration with IT and relevant business functionsEstablish a central and reliable data foundation for Quality Management, integrating quality-relevant data from different source systems

 - Define and continuously develop data structures, data models and reporting standards for Quality analytics
 - Translate business requirements into scalable data and analytics solutions, enable and support Quality teams in the effective use and interpretation of data, reports and analytical tools
 - Develop, maintain and continuously improve Power BI reports, dashboards and analytical applications
 - Establish standardized Quality KPIs and ensure consistent definitions across the Quality organization
 - Act as the central interface between Quality Management, IT and other data-owning functions
 - Identify and implement opportunities for advanced analytics, automation and AI within Quality Management