Product Data Engineering Lead

TL;DR

Product Data Engineering Lead (AI/Medtech): Lead the design and scaling of core data systems powering AI products and analytics with an accent on data reliability, discoverability, and production readiness. Focus on architecting data foundations, enabling AI product data interfaces, and mentoring engineering teams.

Location: Hybrid in Amsterdam, Netherlands or Zurich, Switzerland with expectation to spend at least 50% time onsite

Company

hirify.global builds AI assistants for oncology in collaboration with leading cancer institutes, focusing on cross-domain data reasoning to improve cancer care.

What you will do

• Architect and scale core data systems from ingestion to storage and serving ensuring data is reliable and production-ready
• Own the data-product interface enabling AI products to consume and act on high-quality data
• Mentor and grow a team of data, software, and analytics engineers
• Guide technical design, process rigor, and foster a culture of continuous improvement

Requirements

• Location: Must be based in the Netherlands or Switzerland with hybrid work and onsite presence at least 50%
• Proven leadership experience in technical teams including hiring and coaching engineers
• Strong background in software and data engineering with experience in data modeling and distributed data processing
• Experience with Python and tools like Dagster, Airflow, dbt, Spark, and Kubernetes
• Ability to make long-term architectural decisions aligning with product priorities
• English: Required, job posting in English implies at least B2 level

Culture & Benefits

• Competitive salary and pension plan
• 25 vacation days per year
• EUR 1000 learning and development budget
• Annual commuting subsidy
• Flexible work arrangements supporting autonomy
• Team offsites and events to strengthen collaboration

Hiring process

• Screening call to assess motivation and fit
• Technical interview with problem-solving challenge
• Optional onsite meeting with cross-functional team members
• Final executive conversation focusing on long-term alignment and cultural fit