19.10.2026 aktualisiert


100 % verfügbar
Senior Data Engineer | Azure | Microsoft Fabric | Python | SQL | ETL/ELT
Lindenfels, Deutschland
Weltweit
Bachelor of Science in Information TechnologySkills
Microsoft AzureBusiness Intelligence DevelopmentCloud-EngineeringData ArchitectureDateninfrastrukturData IntegrationData WarehousingEnterprise Architecture FrameworkMicrosoft SQL Server Data Engine (MSDE)Azure SQLMicrosoft Business IntelligenceOracle Business Intelligence Enterprise EditionAzure Data LakeSQL Server Reporting ServicesSQL Server Integration Services
Senior Data Engineer with 14 years in IT and 9+ years in data engineering, data warehousing and BI. Microsoft Certified: Fabric Data Engineer Associate and Azure Data Engineer Associate. Based in Germany, working in English (German B1).
I design and build data platforms on Microsoft Fabric, Azure and Databricks, from source ingestion through lakehouse and warehouse layers to Power BI reporting. I have a software development background, so I build pipelines that can be tested, version-controlled and deployed through CI/CD.
Core skills
- Microsoft Fabric: Lakehouse, Data Warehouse, OneLake, Data Factory pipelines, Notebooks, Real-Time Intelligence (Eventstream, Eventhouse)
- Azure: Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Data Lake Storage
- Databricks: PySpark, Spark SQL, Delta Lake
- Languages: Python, SQL, PySpark ,C#/.NET
- Modelling: dimensional modelling, medallion architecture (bronze/silver/gold), ETL/ELT
- Databases: SQL Server, Oracle, PostgreSQL, MySQL
- BI: Power BI (data modelling, reporting)
- DevOps: Azure DevOps CI/CD, Git
- Integration: REST APIs including the Workday API
Domain experience
Healthcare data and HR data integration (Workday). International project experience in Germany, the UAE and the Philippines.
Typical engagements
- Building or migrating a data platform to Microsoft Fabric or Databricks
- Designing ETL/ELT pipelines with Azure Data Factory, Synapse or Fabric
- Lakehouse and warehouse data modelling for Power BI
- Reviewing and improving existing Azure data pipelines (performance, reliability, cost)
Erfahrung
Berufserfahrungmehr als 10 Jahre
Freelancer seit2026
Sprachen
DeutschgutEnglischverhandlungssicher
Projekthistorie
Design, build, and operate enterprise-scale, production-grade batch and real-time data pipelines on Azure and Microsoft Fabric, integrating data into OneLake for international, company-wide analytics, reporting, and operational use cases. Develop Spark SQL and PySpark transformations and analytics-ready lakehouse models applying Kimball dimensional modelling principles. Implement streaming ingestion and processing with Microsoft Fabric Real-Time Intelligence including Eventstream and Eventhouse patterns. Build data-quality checks, logging and alerting, and automate pipeline and data-model deployments through Azure DevOps CI/CD and dbt.
Operated mission-critical financial data systems and administered end-to-end data warehousing and reporting solutions using SQL Server, Oracle, SSIS, and SSRS. Built and supported ETL processes designed for traceability, recoverability, and controlled reprocessing. Optimized SQL and database operations and investigated data and performance incidents.
Deployed at First Abu Dhabi Bank on enterprise data warehouse and risk-management platforms, designing and supporting analytical data pipelines for regulatory and financial reporting. Reconciled complex enterprise datasets and collaborated with engineering, risk, and business teams. Supported production systems and contributed to reliable delivery of high-impact banking data and analytics services.
Zertifikate
Fabric Data Engineer Associate
Microsoft2026
Azure Data Engineer Associate
Microsoft2025