14 May 2026

Lead Data Engineer

IQVIA

Leiden

14 May 2026

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Lead Data Engineer

Lead Data Engineer needed for IQVIA Patient Finder, a healthcare search engine used by 40+ hospitals. You will drive technical direction of data pipelines and warehouse, mentor engineers, and work in a hybrid role based in Leiden, Netherlands.

HybridFull-timeLeadPythonSQL

Lead Data Engineer

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HybridFull-timeLeadPython

Salary

Not specified

Work Location

Leiden, 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

mentoringcoachinginterpersonal communicationpresentation skillsattention to detailautonomyproblem-solvingteamwork

Preferred Qualifications

Technical (Nice-to-have)

FHIROMOPMaster Data ManagementData lineageDutch

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 EngineeringPythonSQLPrefectHealthcareIQVIAHybridLeidenData Platform

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.