Lead Data Engineer - Data Platform & AI Pipelines

IQVIA; Hilversum; Hybrid; EUR 90,000 - 130,000; Full time

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, align patterns across evolving platforms, and deliver improvements while maintaining reliability and quality.

You will collaborate with Product and Engineering to refine requirements and prioritise work intake based on value and constraints, shaping scalable data solutions for healthcare analytics.

Qualifications

• Strong Python development experience in production systems.
• Experience designing and maintaining ETL/ELT data pipelines.
• Experience with dbt, Databricks, and SQL databases (SQL Server/PostgreSQL).
• Experience leading development teams and providing architectural guidance.
• Excellent English communication and collaboration skills.

Responsibilities

• Lead end-to-end design and delivery of the data platform (pipelines + warehouse).
• Standardise patterns, reduce operational overhead, and improve reliability.
• Plan releases, validation strategies, and risk management.
• Collaborate with Product and Engineering to refine requirements and prioritise backlog.
• Mentor data engineering engineers and own work intake.
• Improve data quality, lineage, observability, and governance.

Skills

Python development

Data engineering leadership

Agile teamwork

Tools

Airflow

Prefect

Luigi

Dagster

dbt

Databricks

SQL Server

PostgreSQL

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, align patterns across evolving platforms, and deliver improvements while maintaining reliability and quality.

You will collaborate with Product and Engineering to refine requirements and prioritise work intake based on value and constraints, shaping scalable data solutions for healthcare analytics.