Data Engineer mit Schwerpunkt Data Governance & Data Quality (w/m/div.)
Core
Implementing data governance requirements and automating data quality checks for data products.
Role type
Data Engineer (Data Governance & Quality)
Builds
Data products and software solutions based on semantic technologies
Domain
Automotive and sustainable energy industry
Deliverable
production ML models
Required skills
Python, SQL, REST-APIs, Data Quality Frameworks (Great Expectations, Deequ, Soda), Data Catalogs (Collibra, Databricks Unity Catalog, Informatica), Spark, CI/CD (GitHub Actions, GitLab, Jenkins), Semantic Technologies (RDF, OWL, SPARQL, Knowledge Graphs)
Preferred skills
Experience with Data Contracts, Data Modeling, Data Onboarding
Responsibilities
Develop software solutions and data products using semantic technologies; Implement data governance requirements and automate completeness, classification, and approval checks; Derive data quality rules from semantic models and manage the lifecycle of data products; Integrate platforms with Databricks Unity Catalog, Collibra, and Stardog; Contribute to process development via code reviews and Git workflows; Collaborate internationally with data modeling and onboarding experts
