Data Platform Engineer (AI)

TL;DR

Data Platform Engineer (AI): Designing and optimizing a secure, scalable data and AI platform for processing multimodal clinical datasets with an accent on open-source infrastructure, containerization, and regulatory compliance. Focus on building self-serve data services, managing Kubernetes-based deployments via Helm and Terraform, and ensuring reproducibility of AI training pipelines.

Location: Hybrid (Amsterdam, Netherlands or Zurich, Switzerland). Must spend at least 50% of time at the office.

Company

hirify.global is building a next-generation agentic clinical AI assistant to help clinicians reason across patient data, guidelines, and diagnostics.

What you will do

• Design, maintain, and own infrastructure for data exploration, transformation, and storage, including orchestration and monitoring.
• Build internal platform services that abstract complexity and promote self-serve data access and processing.
• Manage and deploy standard open-source tooling using Helm charts and Terraform for resource provisioning.
• Implement data pipelines and contribute to ML workflows as part of broader platform ownership.
• Collaborate with researchers and product teams to support their data needs.

Requirements

• 2-5 years of experience in production data platform, infrastructure, or platform engineering roles.
• Experience providing in-house data orchestration services based on tools like Dagster, Airflow, or Prefect.
• Hands-on experience with Terraform and Helm for deploying services to Kubernetes.
• Proficiency with modern storage formats (Parquet, Delta, Iceberg) and object stores (S3, MinIO, Azure Blob).
• Solid programming skills in Python, Scala, or Java.
• Must be based in the Netherlands or Switzerland.

Nice to have

• Experience in AI/ML environments.
• Understanding of medical data standards such as DICOM, FHIR, or pathology slide images.
• Knowledge of observability tools like Prometheus, Grafana, ELK Stack, or Datadog.

Culture & Benefits

• Competitive salary, good pension plan, and 25 vacation days per year.
• EUR 1,000 annual learning and development budget.
• High degree of autonomy and flexibility regarding work schedules and hours.
• Annual commuting subsidy and regular team offsites to celebrate success.

Hiring process

• Screening call to align on motivation and initial fit.
• Coding assessment followed by a live debrief session to discuss the solution.
• Technical interview involving a deep dive into problem-solving through a case study or scenario.
• Optional onsite meeting and a final executive conversation for long-term alignment.