14 May 2026

Lead Data Engineer

IQVIA

Hoogeveen

14 May 2026

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Lead Data Engineer

IQVIA seeks a Lead Data Engineer to drive technical direction of data pipeline and data warehouse layers for its Patient Finder product, used by 40+ hospitals. The role involves leading design and delivery, mentoring engineers, and collaborating across teams. Requires extensive Python, data pipeline, and SQL experience, with hybrid work in Hoogeveen or Amsterdam.

HybridFull-timeLeadPythonPrefect

Lead Data Engineer

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HybridFull-timeLeadPython

Salary

Not specified

Work Location

Hoogeveen, Drenthe, Netherlands, NL

Work Model

Hybrid

Employment Type

Full-time

Experience Level

Lead

Core Qualifications

Technical (Must-have)

PythonPrefectSQLRDBMSMicrosoft SQL ServerPostgreSQLCI/CDDevOpsAirflowDagster

Soft Skills

LeadershipMentoringCommunicationProblem solvingAttention to detailSelf-directedCuriosityInterpersonal skillsPresentation skills

Preferred Qualifications

Technical (Nice-to-have)

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

Lead Data EngineerData EngineeringPythonPrefectSQLHealthcareHybridFull-timePatient FinderIQVIA

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.

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