Senior Data Engineer

The Hague, Netherlands (Hybrid - Flexible)

I'm currently partnering with a stealth, privacy-first AI healthtech company that's building the infrastructure needed to unlock sensitive clinical data safely and responsibly.

They're developing technology that enables healthcare and life-science organisations to make better use of clinical data, improving access to clinical trials, supporting real-world evidence, and accelerating medical research.

They're now looking for a Senior Data Engineer to own the trusted clinical-data foundation behind their products, customer workflows and research environments.

This is not simply a pipeline-building role. You'll be working with messy, real-world clinical data from hospital and EHR systems, investigating its quality, semantics and relationships before designing the engineering solutions needed to make that data reliable, reusable and production-ready.

You'll join a small, multidisciplinary team working across data, AI, product, clinical, privacy/security and customer delivery, with significant autonomy and ownership over technically challenging problems.

The Successful Senior Data Engineer will have:

A strong senior-level track record of independently owning, shipping and operating production data platforms or pipelines end-to-end.

Strong Python and SQL skills, including data modelling, complex queries, testing, debugging and maintainable production code.

Hands-on experience designing and operating ETL/ELT pipelines, with Apache Airflow or comparable orchestration experience.

Experience investigating and modelling messy structured and unstructured data before implementing production pipelines.

Strong engineering practices around automated testing, code review, version control, documentation, CI/CD and observability.

Experience working in cloud-native environments, ideally with Google Cloud; Azure experience is also valuable.

Hands-on experience with Docker and Kubernetes.

The ownership, judgement and communication skills required to work effectively in a small, multidisciplinary team.

Professional fluency in English and a relevant degree or equivalent practical experience.

Senior Data Engineer Nice to Haves:

Experience working with clinical, healthcare or EHR data.

Experience with FHIR, HL7, OMOP, openEHR or other healthcare interoperability standards.

Familiarity with clinical terminology and coding systems such as ICD, SNOMED CT, LOINC or ATC.

Experience with clinical research, clinical trials, registries or real-world evidence.

Exposure to LLMs, medical NLP, RAG, embeddings, knowledge graphs or modern AI applications.

Experience with Terraform, dbt or Kafka.

Experience working in regulated environments or collaborating with Dutch-language customers.

Benefits for the successful Senior Data Engineer:

Work on meaningful clinical-data problems that can increase access to clinical trials and accelerate medical research.

High autonomy and genuine influence over architecture, engineering standards and delivery practices.

A high-spec MacBook Pro and access to leading engineering and AI tools.

Flexible hybrid working with significant autonomy.

The opportunity to work abroad for two periods of up to two weeks per year, subject to applicable requirements.

25 paid holiday days per year, plus commuting compensation.

A dedicated learning and development budget.

The opportunity to grow into a Founding Engineer role, with broader technical leadership and ownership.

A collaborative, multidisciplinary team working on technology that directly impacts patients, healthcare and medical research.

This is an opportunity for a Senior Data Engineer who enjoys making messy, high-stakes data dependable to take genuine ownership of the data foundation behind an ambitious healthtech company.

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