(Senior) Data Engineer (f/m/d)
Core
Designing and implementing robust data models and pipelines to link development, manufacturing, SAP, and supply-chain data for semiconductor manufacturing.
Role type
Senior Data Engineer (Manufacturing/High-Tech)
Builds
Production data pipelines (ETL/ELT), data models (OLAP/OLTP, Data Vault), and analytical platforms for AI/ML and simulations.
Domain
Semiconductor manufacturing equipment and nanoelectronics.
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data modeling (Data Vault, dimensional, logical/physical), ETL/ELT pipeline development, data governance and quality management, performance tuning, GenAI integration, SAP data structures, MES/SCADA/PLM integration.
Preferred skills
Experience in complex manufacturing or high-tech environments, familiarity with Trino, dbt, Apache Kafka, Databricks.
Technologies
Trino, dbt, Apache Kafka, Databricks, Delta Lake, Spark, SAP.
Responsibilities
Conceptualize and implement data models linking development, manufacturing, SAP, and supply-chain data; translate physical and process requirements into robust data models; collaborate with domain experts to define quality rules and compliance requirements; design and implement data governance, quality checks, and lineage tracking; develop production data pipelines using Kafka Streams, dbt, and Trino; ensure data consistency for analytics and AI/ML models; develop performance and scaling strategies; mentor less experienced Data Engineers.
Seniority
Senior, hands-on IC with mentorship responsibilities.