Data Engineer (m/w/d) - Enterprise Data Platform, Ladestraße 1
Core
Develop and operate the technical basis of the Enterprise Data Platform, managing the full data lifecycle from source integration to high-quality data delivery for business units, self-service analytics, and AI applications.
Role type
Senior Data Engineer (Enterprise Data Platform)
Builds
Enterprise Data Platform based on Data-Vault methodology, containerized with PostgreSQL, Docker, and Azure DevOps
Domain
Automotive services industry, Enterprise Data Engineering
Required skills
SQL, relational databases (PostgreSQL), Enterprise Data Modeling (Data Vault), ETL/ELT processes, data integration, Git, Azure DevOps, CI/CD strategies
Preferred skills
Datavault Builder, Docker, Metabase, Open Metadata, SAP (Theobald Extract), Kafka, Trino, DataOps, Generative AI, RAG
Responsibilities
Develop and maintain Raw Vault, Business Vault, and Access Layer; design and optimize ETL/ELT processes and data pipelines; integrate data from SAP, Salesforce, Kafka, and other systems; build performant data models for reporting and BI; monitor platform operation, performance, and data quality; document data models and flows; establish data basis for Generative AI and RAG solutions.
Seniority
Senior, hands-on IC