Data Engineering Engineer
Core
Design, analyze, and implement complex manufacturing data-driven solutions to improve product quality, reduce loss, and increase efficiency for the Global Manufacturing and Supply Organization.
Role type
Data Engineer
Builds
Scalable data pipelines and data models for manufacturing processes
Domain
Pharmaceutical manufacturing / Industrial IoT
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, data modeling, Databricks, AWS native technologies, Oracle, MongoDB, Shop-Floor systems (MES, ERP, LIMS, Historian), GxP environment knowledge
Preferred skills
Batch-based manufacturing processes, DevSecOps, source-code versioning, Computer Systems Validation GAMP, Machine Learning, Deep Learning
Technologies
AWS (S3, EC2, Terraform), Databricks, Oracle, MongoDB, Biovia Discoverant, Simca Online, PAS-X Savvy, Siemens gPROMS
Responsibilities
Contribute to data engineering of existing and new IT Systems; Enable data analytics (process trending, process modelling, real-time analytics, predictive analytics); Develop and maintain scalable data pipelines; Drive identification of technical issues and problem-solving; Ensure Digital Products and Platforms are built efficiently; Provide guidance to business partners on complex technical changes; Collaborate with analytics and business teams to improve data models
Seniority
Mid-level, hands-on IC