Data Engineer – Production-Data & Analytics (m/w/d)
Core
Develop scalable Data Products and semantic models in Databricks to enable reliable data-driven decisions and self-service analytics for business units.
Role type
Senior Data Engineer (Analytics Engineering & Data Product Ownership)
Builds
Scalable Data Products, semantic models, metric layers, and AI/Agentic-AI application prototypes
Domain
Real Estate Construction / Data Engineering & Analytics
Deliverable
production ML models
Required skills
Data Engineering, Analytics Engineering, SQL, Python, Data Modeling, ETL/ELT, Databricks, Delta Lake, Unity Catalog, Semantic Modeling, Data Governance
Preferred skills
Power BI Semantic Models, dbt, AI/Agentic-AI implementation, Self-Service Analytics enablement
Technologies
Databricks, Delta Lake, Unity Catalog, Power BI, dbt
Responsibilities
Develop and own Data Products from requirements to production; Build semantic models and metric layers for enterprise-wide consistency; Translate business requirements into scalable data models; Ensure data quality and governance standards; Enable business units for self-service analytics; Identify and implement AI/Agentic-AI use cases; Drive platform and standard improvements
Seniority
Senior, hands-on IC