Data Engineer (alle Geschlechter)
Core
Design, implement, and operate robust data pipelines for manufacturing data landscapes, integrating data from MES, SAP, and production assets to support AI and data science use cases.
Role type
Data Engineer (Manufacturing & AI)
Builds
Data pipelines, Data Lake, and Data Warehouse for manufacturing systems
Domain
Pharmaceutical Manufacturing / Industrial IoT / Cloud Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
SQL, AWS, Databricks, ETL/ELT development, Node-RED, OPC UA, Python/Scripting, System Design
Preferred skills
AI Ambassador experience, Equipment Connectivity, Cross-functional collaboration
Technologies
AWS, Databricks, Node-RED, OPC UA, GitHub, SAP, MES
Responsibilities
Design and maintain data integration pipelines for manufacturing systems; Manage Datastore/Data Lake and Data Warehouse using AWS and Databricks; Develop code and make technology decisions for large-scale ETL/ELT processes; Implement equipment connectivity and interfaces (e.g., OPC UA) for manufacturing assets; Collaborate with Data Scientists to develop predictive models and AI use cases; Act as AI Ambassador to promote responsible AI usage in production.
Seniority
Mid-Senior, hands-on IC