Data & AI platforms Engineer

h3bSenior Data Engineerto build production-grade Data AI platforms /b /h3pAre 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. /ppWe are looking for a hands-on technical owner to bridge Data Engineering, MLOps, and Cloud Architecture into reliable, scalable product capabilities. /ph3bWhat You'll Do /b /h3ullibData AI Platforms: /b 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). /lilibCloud Infrastructure (AWS): /b Design and maintain secure, cost-effective, cloud-native infrastructure using Infrastructure-as-Code (IaC), CI/CD, and automated deployment practices. /lilibMLOps AI Governance: /b Build robust workflows for model deployment, monitoring, drift detection, and evaluation, translating governance requirements (GDPR, EU AI Act) into operational platform controls. /lilibTechnical Ownership Collaboration: /b Partner with Data Scientists, DevOps, and Architects to establish canonical data models, document architectural decisions, and ensure full production reliability. /li /ulh3bWhat You Bring /b /h3pbMust-Haves: /b /pullibEducation: /b Degree in Computer Science, AI, Data Science, or a related quantitative field. /lilibExperience: /b 5+ years in data engineering, platform engineering, or MLOps, with a proven track record of running production-grade AI/ML workloads. /lilibCore Tech Stack: /b Advanced Python, SQL, Docker, AWS, CI/CD, and Infrastructure-as-Code. /lilibData Modeling Architecture: /b Hands-on experience optimizing relational, analytical, and vector databases, pipeline orchestration, and lineage tracking. /lilibCommunication: /b Business-fluent English; strong stakeholder management across technical and non-technical teams. /li /ulh3bNice-to-Haves: /b /h3ulliExperience with AWS Bedrock, SageMaker, MLflow, Kubernetes, Terraform, or Vector Databases/RAG architectures. /liliFamiliarity with Data Mesh, Data Vault modeling, or Lakehouse frameworks. /liliKnowledge of ISO 27001, ISO 42001, or EU AI Act compliance. /liliAWS Certifications. /li /ulh3bWhy Join? /b /h3ullibReal Impact: /b Your code directly helps millions of people find employment. /lilibModern Stack: /b Work with cutting-edge MLOps and GenAI architectures. /lilibFlexibility: /b Balanced hybrid model (Utrecht/Home). /li /ul #J-18808-Ljbffr