Senior Data & BI Engineer enterprise analytics

The Analytics Platform enhances enterprise reporting and data solutions while expanding the use of Microsoft Fabric. It supports reliable and scalable analytics delivery across data pipelines, analytical models, dashboards, and platform performance.

• Design, build, maintain, and optimize data pipelines and analytical data solutions;
• Develop and optimize Power BI semantic models, reports, and dashboards;
• Troubleshoot and improve data, SQL, semantic-model, and reporting performance;
• Contribute to the implementation and adoption of Microsoft Fabric, including Lakehouse/Warehouse, OneLake, pipelines, notebooks, and related workloads;
• Support data ingestion, transformation, modeling, and integration across enterprise data sources;
• Apply appropriate patterns for Import, DirectQuery, Direct Lake, composite models, aggregations, and incremental processing;
• Contribute to data quality, security, governance, monitoring, and operational reliability;
• Support and enhance existing production data and analytics solutions;
• Collaborate with architects, engineers, BI developers, and business stakeholders while working independently on assigned problems;
• Contribute to AI-enabled analytics and integration with Microsoft AI capabilities where applicable.

• Strong hands-on experience with Power BI, including semantic models, DAX, Power Query, and report development;
• Strong SQL and data engineering fundamentals;
• Experience with dimensional modeling and enterprise analytical/data warehouse solutions;
• Experience diagnosing and optimizing BI and data-platform performance;
• Hands-on experience with Microsoft Fabric and its core data/analytics workloads;
• Understanding of Lakehouse/Warehouse architectures and modern data engineering patterns;
• Experience with data ingestion, transformation, pipelines, and production data operations;
• Ability to troubleshoot complex technical problems and work independently with limited guidance;
• Experience supporting production enterprise data and analytics solutions;
• Nice to have: Microsoft Fabric certifications such as DP-600 and/or DP-700, Python/PySpark and notebook-based data engineering, CI/CD and deployment practices for Fabric and Power BI, Azure data services, Microsoft Foundry, GenAI, agents, or AI-enabled analytics, financial services or other regulated enterprise environments.

• Health insurance for the employee and loved ones;
• Sick pay: 10 days without a doctor's note, afterwards according to local laws;
• Time off for state holidays according to the official calendar;
• Two large corporate parties and smaller colleague get-togethers;
• Technical and everyday workplace support;
• Benefits vary depending on the region and type of contract.