1 week ago

Lead Data Engineer

IQVIA

Haarlem

1 week ago

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Lead Data Engineer

IQVIA Patient Finder seeks a Lead Data Engineer to drive technical direction of data pipeline and data warehouse layers. The role involves leading a data engineering team, designing scalable data platforms, and collaborating with cross-functional teams to improve healthcare outcomes. Requires extensive Python, ETL/ELT, dbt, Databricks, and cloud data platform experience.

HybridFull-timeLeadPythonSQL

Lead Data Engineer

Apply

HybridFull-timeLeadPython

Salary

Not specified

Work Location

Haarlem, North Holland, Netherlands, NL

Work Model

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

Employment Type

Full-time

Experience Level

Lead

Core Qualifications

Technical (Must-have)

PythonSQLETL/ELTApache AirflowPrefectLuigiDagsterdbtDatabricksMicrosoft SQL ServerPostgreSQLCloud Data PlatformsData WarehousingLakehouse ArchitectureCI/CD

Soft Skills

MentoringCoachingCommunicationCollaborationProblem-solvingAttention to detailInterpersonal skillsPresentation skillsStakeholder management

Preferred Qualifications

Technical (Nice-to-have)

FHIROMOPMaster Data ManagementMedical OntologiesData LineageDutch

Key Responsibilities

•Lead end-to-end design and delivery of the data platform (pipelines + warehouse layers), primarily 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/work intake.
•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 EngineeringHealthcarePythondbtDatabricksCloudHybridNetherlandsIQVIA

Core Qualifications

Technical (Must-have)

PythonSQLETL/ELTApache AirflowPrefectLuigiDagsterdbtDatabricksMicrosoft SQL ServerPostgreSQLCloud Data PlatformsData WarehousingLakehouse ArchitectureCI/CD

Soft Skills

MentoringCoachingCommunicationCollaborationProblem-solvingAttention to detailInterpersonal skillsPresentation skillsStakeholder management

Key Responsibilities

•Lead end-to-end design and delivery of the data platform (pipelines + warehouse layers), primarily 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/work intake.

•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.