Data & AI Platform Engineer

# Data & AI Platform Engineer

As a Data & AI Platform Engineer you work in enablement teams that set up the platform and delivery capabilities where data and AI domains can accelerate. You build reusable patterns, automate onboarding and make quality and governance a standard part of the route to production.

## Your role

• Develop golden paths / paved roads for data and AI delivery (templates, reference implementations, pipelines)
• Build reusable components for CI/CD and release automation (including quality gates)
• Integrate governance and metadata requirements into the platform (standards, tagging, discoverability)
• Support teams with onboarding: "quick start, get it right from the start"
• Collaborate with platform, security, data and AI stakeholders to make standards practical
• Improve observability, operational readiness and cost-awareness (FinOps mindset)
• Document and productize assets so they are discoverable and reusable (marketplace thinking)

## What you bring

• HBO/WO work and thinking level with IT/engineering background
• Minimum 3 years of experience with software engineering in a cloud/platform context
• Experience with CI/CD and infrastructure/platform concepts (automation, pipelines, deployment)
• Affinity with data & AI delivery (pipelines, lifecycle, production requirements)
• Familiar with cloud-native principles and working in Agile/DevSecOps teams
• Strong communication skills: you can explain and drive adoption of standards (Dutch and English)

## Plusses

• Experience with Kubernetes or similar runtime environments (e.g. Databricks Serverless)
• Experience with observability (monitoring/logging) and SLO-driven working
• Experience with governance/metadata (catalog thinking, lineage, policy-as-code)
• Experience in regulated environments (financial services)