Proficiency in Data Modeling and experience in building scalable data architectures
Design, enhance, and operate our central Data Warehouse
Translate business requirements into robust data models and DWH concepts
Develop and optimize ETL/ELT processes, including incremental loading
Implement historization and change‑tracking logic (e.g., Slowly Changing Dimensions)
Ensure data quality, consistency, and correctness across the full data flow
Build validation, control, and reconciliation mechanisms
Optimize query, load, and data structure performance
Document data models, load processes, and architectural decisions.

Solid experience in building and operating Data Warehouse solutions
Excellent command of T‑SQL and Microsoft SQL Server, especially for T‑SQL‑based DWH/ETL frameworks
Strong knowledge of information modeling and DWH architecture (Kimball, star/snowflake schemas)
Experience with multi‑layer ETL/ELT pipelines (Staging, Core, Data Marts)
Practical experience with incremental loads, delta logic, historization and versioning concepts
Experience in query and data structure optimization (indexes, partitioning)
Understanding of data quality, validation, and control mechanisms
Basic knowledge of data security, data protection, and handling of personal data
Proficiency in Git, PowerShell, and/or Python for automation, as well as C# and Power BI / SSRS, is a plus.

Data Warehouse Engineer

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