
Lead Data Engineer
IQVIA
Lead Data Engineer
Lead Data Engineer needed to drive technical direction of data pipeline and data warehouse layers for IQVIA Patient Finder, a search engine used by 40+ hospitals in the Netherlands and Belgium. You will mentor a data engineering team, partner with product and engineering, and deliver incremental improvements while keeping reliability high. Requires extensive Python, SQL, and data pipeline experience (Prefect, Airflow, etc.), lead experience, and a passion for improving healthcare.
Lead Data Engineer
Lead Data Engineer needed to drive technical direction of data pipeline and data warehouse layers for IQVIA Patient Finder, a search engine used by 40+ hospitals in the Netherlands and Belgium. You will mentor a data engineering team, partner with product and engineering, and deliver incremental improvements while keeping reliability high. Requires extensive Python, SQL, and data pipeline experience (Prefect, Airflow, etc.), lead experience, and a passion for improving healthcare.
Salary
Core Qualifications
Technical (Must-have)
Soft Skills
Preferred Qualifications
Technical (Nice-to-have)
Key Responsibilities
- Lead end-to-end design and delivery of the data platform (pipelines + warehouse layers), primarily using Prefect, Python and SQL.
- Drive platform evolution by standardising patterns, reducing operational overhead, and improving maintainability and reliability.
- Ensure continuity and quality during change via release planning, validation strategies, risk management, and clear technical stakeholder communication.
- Partner with Product and Engineering to refine requirements, shape delivery plans, and prioritise backlog/work intake.
- Raise engineering standards through reviews, quality practices, and responsible AI-assisted engineering.
- Collaborate with QA to increase test maturity, coverage, and automation for pipelines and data transformations.
- Collaborate with Application and AI/ML leads to integrate data components with the wider product ecosystem.
- Lead the data engineering team (line management where applicable), coaching engineers and owning work intake and prioritisation.