Data & AI platforms Engineer

Senior Data Engineer to build production-grade Data & AI platforms

Are you a Senior Data Engineer eager to build production-grade Data & AI platforms that impact millions of lives? Here, our HR tech solutions help governments and public institutions worldwide shape the labor market of tomorrow.

We are looking for a hands-on technical owner to bridge Data Engineering, MLOps, and Cloud Architecture into reliable, scalable product capabilities.

What You'll Do

• Data & AI Platforms: Architect and operate end-to-end pipelines, vector-oriented data stores, and curated data assets to transform complex, real-world client data into reliable AI capabilities (semantic search, recommendations, matching).
• Cloud Infrastructure (AWS): Design and maintain secure, cost-effective, cloud-native infrastructure using Infrastructure-as-Code (IaC), CI/CD, and automated deployment practices.
• MLOps & AI Governance: Build robust workflows for model deployment, monitoring, drift detection, and evaluation, translating governance requirements (GDPR, EU AI Act) into operational platform controls.
• Technical Ownership & Collaboration: Partner with Data Scientists, DevOps, and Architects to establish canonical data models, document architectural decisions, and ensure full production reliability.

What You Bring

Must-Haves:

• Education: Degree in Computer Science, AI, Data Science, or a related quantitative field.
• Experience: 5+ years in data engineering, platform engineering, or MLOps, with a proven track record of running production-grade AI/ML workloads.
• Core Tech Stack: Advanced Python, SQL, Docker, AWS, CI/CD, and Infrastructure-as-Code.
• Data Modeling & Architecture: Hands-on experience optimizing relational, analytical, and vector databases, pipeline orchestration, and lineage tracking.
• Communication: Business-fluent English; strong stakeholder management across technical and non-technical teams.

Nice-to-Haves:

• Experience with AWS Bedrock, SageMaker, MLflow, Kubernetes, Terraform, or Vector Databases/RAG architectures.
• Familiarity with Data Mesh, Data Vault modeling, or Lakehouse frameworks.
• Knowledge of ISO 27001, ISO 42001, or EU AI Act compliance.
• AWS Certifications.

Why Join?

• Real Impact: Your code directly helps millions of people find employment.
• Modern Stack: Work with cutting-edge MLOps and GenAI architectures.
• Flexibility: Balanced hybrid model (Utrecht/Home).