Data Engineer (m/w/d)
Core
Design, develop, and operate scalable data infrastructure and pipelines to support reporting, analytics, and data-driven business processes.
Role type
Data Engineer
Builds
Data pipelines, databases, data warehouses, and lakehouses
Domain
Finance and Taxation
Required skills
SQL, Python, ETL/ELT pipeline development, data modeling, database design, data governance, CI/CD principles
Preferred skills
Azure cloud solutions, data quality automation, technical documentation
Technologies
Microsoft SQL Server, Integration Services, Analysis Services, Reporting Services, PowerBI, Azure, Data Warehouse, Lakehouse
Responsibilities
Design and maintain scalable ETL/ELT pipelines; connect structured/unstructured data sources and APIs; model and transform data for BI and analytics; develop and optimize database, warehouse, and lakehouse structures; automate data processing and deployment processes; establish data quality checks; analyze pipeline errors; ensure data security and governance compliance; document data flows and models.
Seniority
Mid-Senior, hands-on IC