14 May 2026

Lead Data Engineer

IQVIA

Gouda

14 May 2026

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Lead Data Engineer

IQVIA Patient Finder seeks a Lead Data Engineer to drive the technical direction of data pipeline and warehouse layers. The role involves leading a data engineering team, mentoring colleagues, and collaborating across product and engineering to build scalable healthcare data solutions. Requires extensive Python and data pipeline experience with a focus on healthcare.

HybridFull-timeLeadPythonSQL

Lead Data Engineer

Apply

HybridFull-timeLeadPython

Salary

Not specified

Work Location

Gouda, South Holland, Netherlands, NL

Work Model

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

Employment Type

Full-time

Experience Level

Lead or managing developer, or substantial experience at senior level.

Core Qualifications

Technical (Must-have)

PythonSQLPrefectAirflowLuigiDagsterMicrosoft SQLPostgreSQLCI/CDDevOps

Soft Skills

communicationmentoringcoachingattention to detailinterpersonal communicationpresentation skillsautonomycuriosityproblem solving

Tools (Must-have)

PrefectPythonSQL

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.
•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 EngineeringPythonSQLPrefectHealthcareClinical TrialsHybridNetherlandsEurope

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.

•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.