Data Engineer (m/w/d)
Core
Building and maintaining data infrastructure, pipelines, and analytics for Life Science manufacturing processes.
Role type
Data Engineer (Life Science/Manufacturing)
Builds
CGM data infrastructure, ETL/ELT pipelines, and BI dashboards for production yield analysis.
Domain
Life Science / Manufacturing / Industrial Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Databricks, Microsoft Azure, Power BI (DAX), ETL/ELT, API integration (MES/SAP/Track & Trace), Python, PySpark, SQL
Preferred skills
GMP environment experience, Web-analytics tools (Google Analytics)
Responsibilities
Expand CGM data infrastructure and automate pipelines; Reconcile data between SAP and MES; Develop E2E Yield-Waterfall models; Design and maintain Power BI reports; Build monitoring platforms on Azure; Collaborate with software development and QA teams.
Seniority
Mid-Senior, hands-on IC