Senior Data Engineer (Healthcare AI)

TL;DR

Senior Data Engineer (Healthcare AI): Build and scale data systems to support intelligent AI products and analytics in clinical environments with an accent on data reliability, discoverability, and production readiness. Focus on designing data-product interfaces, evolving technical direction, and collaborating across data, software, and AI engineering teams.

Location: Hybrid in Amsterdam or Zurich with at least 50% office presence

Company

hirify.global develops a next-generation clinical AI assistant supporting complex diagnostic workflows and collaboration across healthcare institutions, operating from Zurich and Amsterdam.

What you will do

• Architect and scale data ingestion, transformation, storage, and serving systems ensuring data quality and production readiness.
• Design and develop data-product interfaces enabling AI products to manipulate high-quality data.
• Contribute to technical design and process improvements across data, software, and AI teams.
• Own product data and backend systems, making strategic design decisions aligned with company priorities.
• Collaborate closely with cross-functional teams to support AI capabilities at scale.

Requirements

• Location: Must be based in the Netherlands or Switzerland with hybrid work and at least 50% office presence
• Strong experience in data engineering and software engineering with focus on code quality and best practices.
• Proficiency in data modeling and distributed data processing using tools like Dagster, Airflow, dbt, or Spark.
• Experience with infrastructure management using Kubernetes.
• Ability to evolve and own technical direction for product data and backend systems.

Culture & Benefits

• Competitive salary, pension plan, and 25 vacation days per year.
• EUR 1000 learning and development budget.
• Annual commuting subsidy and great offsites/team events.
• Autonomy in work style and supportive team culture valuing ownership, collaboration, and ambition.

Hiring process

• Screening call to discuss motivation and fit.
• Online coding assessment focused on programming skills and data structures.
• Coding assessment review discussion.
• System design interview to evaluate problem-solving and technical expertise.
• Final onsite meeting for cultural fit and long-term alignment.