Data Engineer mit Schwerpunkt Data Governance & Data Quality (w/m/div.)
Core
Develop software solutions and data products based on semantic technologies, implementing data governance requirements and automating data quality checks.
Role type
Data Engineer (Data Governance & Quality)
Builds
Data products and software solutions for data governance and quality
Domain
Automotive / Energy / Data Engineering
Deliverable
production ML models
Required skills
Python, SQL, REST-API integration, Data Quality Frameworks (Great Expectations, Deequ, Soda), Data Catalogs (Collibra, Databricks Unity Catalog, Informatica), CI/CD pipelines, Spark, Semantic Technologies (RDF, OWL, SPARQL, Knowledge Graphs)
Preferred skills
Data Contracts, Data Modeling, System Integration
Responsibilities
Develop software solutions and data products on semantic technologies, implement data governance requirements technically, automate checks for completeness, classification, and release of data products, derive data quality rules from semantic models, integrate platform with systems like Databricks Unity Catalog, Collibra, and Stardog, contribute to process development via code reviews and Git workflows
Seniority
Mid-Senior
