Data Engineer Microsoft Azure (m/w/d)

Design, build, and maintain scalable data pipelines using Azure Data Services, Databricks and/or Microsoft Fabric.Consolidate structured/unstructured data into governed lakes and warehouses for BI and AI use cases.Implement robust data models and storage architectures (Star, Snowflake, Medallion).Ensure data integrity and quality, lineage, security, and governance across the full lifecycle.[Optional] Automate workflows using Azure DevOps, GitHub Actions, or other CI/CD tools.Collaborate in client workshops, translating requirements into technical Azure-native solutions.Optimize performance and cost efficiency of the data infrastructure. Example Use Cases You Will Work On:Modernize legacy ETL workflows with Azure-native services.Build semantic models for enterprise BI using Star/Snowflake schema.Design medallion-structured ingestion flows to enable batch or near-real-time analytics.Deliver curated, governed data products for BI and AI use cases.