Senior Data Platform Engineer - Remote/Hybrid

IQVIA

Eindhoven

Hybrid

EUR 90,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Flexible work location

Job summary

IQVIA is seeking a Lead Data Engineer to drive the technical direction of data pipelines and data warehouse layers. You will mentor engineers, lead cross-functional work, and deliver robust data solutions across evolving platforms while maintaining reliability and quality.

You will collaborate with Product, Engineering, QA and AI/ML leads to align requirements, accelerate development, and ensure scalable, maintainable architectures in a healthcare-focused product environment.

Qualifications

  • Extensive hands-on Python development experience.
  • Experience building ETL/ELT pipelines with orchestration frameworks.
  • Proficient with dbt and data transformation.
  • Experience with Databricks and large-scale pipelines.
  • Advanced SQL skills with enterprise RDBMS.
  • Experience leading data platforms and cloud-based data warehouses.
  • Lead teams and mentor engineers in agile settings.
  • Strong communication and collaboration with stakeholders.

Responsibilities

  • Lead end-to-end design and delivery of the data platform (pipelines + warehouse).
  • Standardise patterns and improve maintainability and reliability.
  • Manage release planning, validation strategies, risk management.
  • Partner with Product and Engineering to shape delivery plans.
  • Raise engineering standards through reviews and tests.
  • Collaborate with QA, Application and AI/ML teams.

Skills

Python
ETL pipelines
dbt
Databricks
SQL
Cloud platforms
Leadership
Mentoring

Tools

Airflow
Prefect
Dagster
Luigi

Job description

IQVIA is seeking a Lead Data Engineer to drive the technical direction of data pipelines and data warehouse layers. You will mentor engineers, lead cross-functional work, and deliver robust data solutions across evolving platforms while maintaining reliability and quality.

You will collaborate with Product, Engineering, QA and AI/ML leads to align requirements, accelerate development, and ensure scalable, maintainable architectures in a healthcare-focused product environment.

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