Data Platform Engineer
About us
Kaiko is actively developing a next-generation autonomous clinical AI assistant that aids clinicians in reasoning across patient data, guidelines, and diagnostics. The company works closely with leading hospitals and research centers, including the Netherlands Cancer Institute (NKI), to create specialized diagnostic agents in fields such as oncology, radiology, and pathology, ensuring their products function safely in real clinical settings.
Job description
As a data platform engineer, you'll design, deploy, maintain and optimize a self-hosted, open-source–driven infrastructure that powers data ingestion, transformation, and serving for both AI training pipelines and real-time hospital applications. Your primary focus will be on the platform itself - the infrastructure, tooling, and services that enable others to work with data effectively, rather than building data pipelines as an end goal. Your work will ensure that pipelines built on top of our platform are reproducible and compliant with strict privacy regulations.
- Collaborate with researchers, product teams, and other stakeholders to support their data needs
- Design, maintain and own infrastructure and deployment for data exploration, transformation, and storage - including orchestration, containerization, and monitoring
- Build and maintain internal platform services that abstract away complexity and promote self-serve data access and processing
- Manage, deploy, and champion the use of standard open-source tooling and products around data platform and data engineering - including deploying and managing services via Helm charts and provisioning resources with Terraform
- Design and implement data pipelines where needed, contributing to data and ML workflows as part of broader platform ownership
Relevant work experience
- 2-5 Years of Experience in Production Data Platform, Infrastructure, or Platform Engineering Roles
- Experience in providing in-house data orchestration services based on open-source software such as Dagster, Airflow or Prefect
- Hands-on experience with infrastructure-as-code and container orchestration - particularly Terraform for resource provisioning and Helm for deploying services to Kubernetes
- Proficiency with modern storage formats (e.g., Parquet, Delta, Iceberg) and object stores (e.g., S3, MinIO, Azure Blob).
- Solid programming skills in Python or another language suitable for data workflows (e.g., Scala or Java).
Benefits
An attractive and competitive salary, a good pension plan and 25 vacation days per year
Great offsites and team events to strengthen the team and celebrate successes together
A EUR 1000 learning and development budget to help you grow
Autonomy to do your work the way that works best for you, whether you have a kid or prefer early mornings
An annual commuting subsidy
Skills required for the job