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Haarlem
14 May 2026
Lead Data Engineer logo

Lead Data Engineer

IQVIA

Haarlem
14 May 2026
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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.

HybridFull-timeLeadPythonSQL

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.

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HybridFull-timeLeadPython

Salary

Not specified

Work Location

Haarlem, North Holland, Netherlands, NL

Work Model

Hybrid: Data team typically attend the office weekly, employees free to choose between office, home, or hybrid work locations.

Employment Type

Full-time

Experience Level

Lead or senior level

Core Qualifications

Technical (Must-have)
PythonSQLPrefectAirflowLuigiDagsterMicrosoft SQLPostgreSQLCI/CDDevOps
Soft Skills
mentoringcoachingcommunicationpresentationattention to detailautonomous decision makingleadershipcuriosity

Preferred Qualifications

Technical (Nice-to-have)
FHIROMOPMaster Data ManagementData lineage

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.
Lead Data EngineerData EngineeringHealthcarePythonSQLPrefectAirflowHybridNetherlandsPatient Finder
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