14 May 2026

Lead Data Engineer

IQVIA

Zeist

14 May 2026

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Lead Data Engineer

IQVIA Patient Finder, a healthcare search engine used by 40+ hospitals, seeks a Lead Data Engineer to drive data platform evolution. The role involves leading end-to-end design and delivery of data pipelines and warehouse layers, mentoring a team, and collaborating with product and engineering. Requires extensive Python, data pipeline, and SQL experience, with a hybrid work model based in Zeist, Netherlands.

HybridFull-timeLeadPythonPrefect

Lead Data Engineer

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HybridFull-timeLeadPython

Salary

Not specified

Work Location

Zeist, Utrecht, 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: substantial experience at senior level or as lead/managing developer

Core Qualifications

Technical (Must-have)

PythonPrefectAirflowLuigiDagsterMicrosoft SQLPostgreSQLSQLCI/CDAI-assisted engineering

Soft Skills

interpersonal communicationpresentation skillsattention to detailmentoringproblem solvingautonomous decision makingconstructive criticism

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, supported by fit-for-purpose design artefacts and lineage.
•Drive platform evolution by standardising patterns, reducing operational overhead, and improving maintainability and reliability across the data landscape.
•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 based on value, dependencies, and technical constraints.
•Raise engineering standards through reviews, quality practices, and responsible AI-assisted engineering (e.g., accelerating development and strengthening tests/refactoring under clear controls).
•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 (e.g., search and ML pipelines).
•Lead the data engineering team (line management where applicable), coaching engineers and owning work intake and prioritisation.

Lead Data EngineerData EngineeringHealthcarePythonSQLPrefectHybridNetherlandsData PipelinesMachine Learning

Key Responsibilities

•Lead end-to-end design and delivery of the data platform (pipelines + warehouse layers), primarily using Prefect, Python and SQL, supported by fit-for-purpose design artefacts and lineage.

•Drive platform evolution by standardising patterns, reducing operational overhead, and improving maintainability and reliability across the data landscape.

•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 based on value, dependencies, and technical constraints.

•Raise engineering standards through reviews, quality practices, and responsible AI-assisted engineering (e.g., accelerating development and strengthening tests/refactoring under clear controls).

•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 (e.g., search and ML pipelines).

•Lead the data engineering team (line management where applicable), coaching engineers and owning work intake and prioritisation.