People Data Engineer
Core
Build reliable, secure, and scalable data products and data-lake capabilities to power AI-enabled applications, automations, and analytics for People Analytics at Philips.
Role type
Senior IC data engineer (data lake & pipelines)
Builds
Governed data lake, curated datasets, data pipelines, and data products for People Analytics and AI/LLM applications
Domain
Health technology / People Analytics / Data Engineering
Deliverable
production ML models
Required skills
SQL, Python, data pipeline development, data lake architecture, data modeling, data quality & observability, API development, CI/CD, data governance
Preferred skills
Databricks (Spark, Delta Lake, Unity Catalog), dbt, Azure cloud services, workflow orchestration, experience with HR/sensitive data
Technologies
Python, SQL, Databricks, Azure
Responsibilities
Design and operate a secure, governed data lake; build and maintain robust data pipelines; ingest and transform data from enterprise systems; develop curated datasets and data products; implement data quality checks and monitoring; support AI/LLM products with retrieval-ready datasets; collaborate with Data Scientists and Full Stack AI Application Engineers; ensure compliance with data privacy and security requirements.
Seniority
Senior, hands-on IC