Data Engineer (m/w/d) – Azure Databricks
Core
Design, build, and evolve modern data platforms using Azure Databricks to process large datasets and ensure data quality for BI and reporting applications.
Role type
Data Engineer (Azure Databricks)
Builds
Scalable data processing pipelines, ETL/ELT workflows, and Lakehouse/Data-Warehouse solutions
Domain
Data Engineering, Cloud Data Platforms (Azure)
Required skills
Python, SQL, PySpark, Azure Databricks, ETL/ELT processes, Data Modeling, Data Architecture
Preferred skills
Lakehouse architecture knowledge, Performance optimization, Customer-facing technical coordination
Technologies
Azure Databricks, Python, PySpark, SQL
Responsibilities
Develop and optimize ETL/ELT pipelines for large data volumes, Build and maintain structured data architectures (layered models), Integrate diverse data sources for BI and self-service applications, Analyze and improve performance, stability, and data quality, Collaborate with customers and internal IT teams on technical alignment
Seniority
Mid-Senior, hands-on IC
