Data Engineer – PPI Digital Transformation (Multi-site)
Core
Design and deliver scalable data platforms, pipelines, and warehouses to support manufacturing operational excellence and digital transformation across multiple sites.
Role type
Senior Data Engineer (Manufacturing/Digital Transformation)
Builds
Cloud-based data infrastructure, ETL processes, data warehouses, and lakes for analytics and reporting.
Domain
Manufacturing / Industrial IoT / Enterprise Data
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL (complex queries, optimization, design), Python, ETL tools, data warehousing, dimensional modeling, cloud platforms (Azure/Microsoft Fabric), data visualization (Power BI)
Preferred skills
Git/CI-CD, data governance frameworks, IIoT data integration, manufacturing domain experience
Technologies
Azure, Microsoft Fabric, MSSQL, Oracle, Power BI, Python
Responsibilities
Design and maintain scalable data pipelines and ETL processes; Develop and manage data warehouses and data lakes; Design and optimize databases and data models; Implement data quality controls and monitoring; Build and maintain cloud-based data infrastructure; Collaborate with data scientists to deploy analytical solutions; Enable secure data access for site users; Support data governance and compliance standards.
Seniority
Mid-Senior, hands-on IC