Lead Data Engineer

IQVIA

Heerlen

4 weeks ago

Heerlen

4 weeks ago

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Lead Data Engineer

Lead Data Engineer needed for IQVIA's Patient Finder product, a healthcare search engine used by 40+ hospitals in the Netherlands and Belgium. The role involves driving the technical direction of data pipeline and warehouse layers, mentoring a team, and collaborating with product and engineering stakeholders. Requires extensive Python, data pipeline, and SQL experience, with a preference for healthcare data knowledge.

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Hybrid

Full-time

Lead

Python

SQL

Salary

Not specified

Work Location

Heerlen, Limburg, Netherlands, NL

Work Model

Hybrid - Data team typically attend the office weekly

Employment Type

Full-time

Experience Level

Senior level or lead/manager experience required

Core Qualifications

Technical (Must-have)

PythonSQLPrefectAirflowLuigiDagsterMicrosoft SQLPostgreSQLCI/CDDevOps

Soft Skills

mentoringcoachingcommunicationpresentationattention to detailinterpersonalself-directedcuriosityproblem solving

Preferred Qualifications

Technical (Nice-to-have)

FHIROMOPMaster Data ManagementMedial ontologiesData lineageNLP

Tools (Nice-to-have)

AI-assisted development tools

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 PipelinePythonSQLHealthcarePrefectHybridNetherlands

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.