• 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 andprioritisation.

Requirements

• Extensive experiencewithPython in a testable and scalable fashion

• History of successfully developing data pipelines (e.g. Prefect, Airflow, Luigi,Dagster)

• Hands on experience with RDBMS (Microsoft SQL or PostgreSQL preferred)andcomfortable writing SQL,both DDL and DML

• Experience as lead or managing developer, or substantial experience atseniorlevel.

• Youare able toclearly explain and translate conceptual ideasand technical rationaletotechnical and non-technical colleagues

• You have worked as part of teams consisting of 4 or more developers and are used to having your ideas challenged and providing constructive criticism to others

• Ability to autonomously makearchitectureand designdecisionsas lead

• Demonstrated use of automation and AI-assisted development tools to improve engineering outcomes (quality, speed, test coverage, maintainability) in a controlled and secure way.

• Experience with DevOps workflows, especially CI/CD

• Good interpersonal communication and presentation skills

• Attention to detail

• Excellent written and verbal English communication skills

• You are based in Europe, ideallycommutable to Amsterdam,Netherlands

Nice to have

• Knowledge of medical data standards such as FHIRbased data exchangeand/or OMOP

• Exposure to healthcare/life sciences/clinical trials/pharmaceutical data

• MasterDataManagementofideally medicalontologies

• Data lineage

• Dutch language skills are a plus for local collaborationand accessing local data sources

Opportunities

• You will be a part of innovation in the medical field, contributing to improved outcomes for healthcare patients and providers

• You will have the opportunity tobe responsible fortechnical communication and preparation in cross-team projects. This will often mean online collaboration with international colleagues.

• You willcollaborate with Machine Learningspecialistsgaining exposure toML andNatural Language Processing (NLP)

• Medical data is an interesting problem space, both in complexity and in societal value. The texts are a domain of its own with extremely high information density. It gives a real kick when users let us know they were able to collect data they were unable to use previously, such as finding people with a rare disease that might take years otherwise to diagnose or rapidly building quality datasets for COVID research

• You will be part of a larger, cross-functionaland dynamic team consisting of developers, designers, medicalconsultantsandMLengineers.

About us

• Our Data team currently consists of 1 product owner, 5developers.

• The Patient Finder team consists of approximately 30 people organised across three development squads (App, Data,AI/ML), Deployment, Support and Consultancy.

• Patient Finder team is part of a larger healthcare product portfolio across the EMEA region within the IQVIA business.

• Our teamlargely worksfromhomebut employees are free to choose between office, home, or hybrid work locations. Data team typically attend the office weekly.

• Theteam is currentlylocation acrossAmsterdam andMadrid.