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Hoogeveen
1 week ago
Lead Data Engineer logo

Lead Data Engineer

IQVIA

Hoogeveen
1 week ago
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Lead Data Engineer

IQVIA seeks a Lead Data Engineer to drive technical direction of data pipeline and warehouse layers for Patient Finder, a healthcare search engine used by 40+ hospitals. The role requires hands-on experience in Python, SQL, and modern orchestration frameworks, with a focus on mentoring and leading a data engineering team. Based in Europe, preferably near Amsterdam, with hybrid work.

HybridFull-timeLeadPythonSQL

Lead Data Engineer

IQVIA seeks a Lead Data Engineer to drive technical direction of data pipeline and warehouse layers for Patient Finder, a healthcare search engine used by 40+ hospitals. The role requires hands-on experience in Python, SQL, and modern orchestration frameworks, with a focus on mentoring and leading a data engineering team. Based in Europe, preferably near Amsterdam, with hybrid work.

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HybridFull-timeLeadPython

Salary

Not specified

Work Location

Hoogeveen, Drenthe, Netherlands, NL

Work Model

Hybrid: largely work from home, weekly office attendance

Employment Type

Full-time

Experience Level

Lead

Core Qualifications

Technical (Must-have)
PythonSQLPrefectApache AirflowLuigiDagsterdbtDatabricksMicrosoft SQL ServerPostgreSQLETL/ELTCI/CDDevOpsInfrastructure as CodeData Warehousing
Soft Skills
MentoringCommunicationProblem-solvingCollaborationAttention to detailStakeholder managementLeadership

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) using Prefect, Python and SQL.
  • •Drive platform evolution by standardising patterns, reducing operational overhead, and improving maintainability and reliability.
  • •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.
  • •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, coaching engineers and owning work intake and prioritisation.
Lead Data EngineerHealthcareData EngineeringPythonSQLPrefectdbtDatabricksHybridNetherlands
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