(Senior) Data Engineer - Azure Databricks / Lakehouse (m/w/d)
Core
Building and optimizing scalable Azure Databricks data pipelines and lakehouse architecture to support analytics, BI, and data science.
Role type
Senior Data Engineer (Cloud/Azure)
Builds
Production data pipelines, data lakehouse architecture, and automated ETL/ELT processes
Domain
Retail / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Azure Databricks, Apache Spark, Python or Scala, ETL/ELT concepts, data modeling (Kimball, Data Vault), relational and non-relational databases
Preferred skills
Experience in cloud environments, structured thinking, ownership, quality focus
Technologies
Microsoft Azure, Azure Databricks, Spark, Python, Scala
Responsibilities
Develop, operate, and optimize data pipelines on Microsoft Azure; extend data lakehouse architecture; implement automated ETL/ELT processes with monitoring and error handling; integrate and transform data from various source systems; work on data models; ensure data quality, consistency, and security; collaborate with data scientists, analysts, and business units
Seniority
Senior, hands-on IC
