onsite
Catalog Data Engineer - Philips
Data Engineer
Design, build, and maintain high‑quality product catalogs, ensuring data accuracy for pricing, quoting, and ordering systems while supporting patient safety and customer experience initiatives.
About the role
Key Responsibilities
- Develop and maintain data models for product catalogs, adhering to quality and regulatory standards.
- Implement ETL pipelines to ingest, transform, and validate catalog data from multiple sources.
- Collaborate with subject‑matter experts to ensure catalog configurations are accurate across all archetypes, including third‑party and localized variants.
- Monitor data quality metrics and resolve discrepancies that could impact quoting, pricing, or ordering processes.
- Support patient safety and quality initiatives by delivering compliant data solutions and participating in CAPA investigations.
Requirements
- Strong experience with Python and SQL for data manipulation and automation.
- Proven ability to design robust data models and build scalable ETL workflows.
- Familiarity with cloud platforms, preferably AWS, for data storage and processing.
- Understanding of data quality frameworks and regulatory compliance (Q&R standards).
- Excellent communication skills to work closely with SMEs and cross‑functional teams.