Position Details
About this role
This role involves leading data engineering efforts in manufacturing, focusing on building reliable data pipelines and ensuring data quality for operational excellence.
Key Responsibilities
- Design and operate data pipelines
- Ensure data quality and integrity
- Collaborate with manufacturing SMEs
- Implement data standards and governance
- Support compliance and data transformation
Technical Overview
The technical environment includes SQL, Python, dbt, and manufacturing systems like SAP, MES, and LIMS, with a focus on GMP/GxP compliance.
Ideal Candidate
The ideal candidate is a mid-level data engineer with experience in manufacturing data environments, proficient in SQL, Python, and data pipeline tools like dbt. They should have a strong understanding of GMP/GxP compliance and data quality standards.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with SQL and Python, No manufacturing or GMP/GxP experience, Inability to work in a hybrid environment
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