Senior Data & AI Platforms Engineer — Hybrid (Utrecht/Home)

Apply Recruitment; Utrecht; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Real Impact on millions of users

Modern MLOps stack

Balanced hybrid model (Utrecht/Home)

Job summary

Apply Recruitment is seeking a Senior Data Engineer to lead the design and operation of production-grade Data & AI platforms. You will bridge Data Engineering, MLOps, and Cloud Architecture to deliver reliable, scalable capabilities that transform client data into AI features such as semantic search and suggestions.

The role requires strong Python, SQL, and AWS expertise, with a proven track record of running production AI workloads.

Qualifications

• 5+ years in data engineering, platform engineering, or MLOps with production AI/ML workloads.

Responsibilities

• Bridge Data Engineering, MLOps, and Cloud Architecture into reliable, scalable platform capabilities.
• Architect and operate end-to-end pipelines, vector stores, and curated data assets for AI features (semantic search, recommendations, matching).
• Design secure, cost-effective AWS infrastructure using IaC, CI/CD, and automated deployment practices.
• Build workflows for model deployment, monitoring, drift detection, and governance alignment (GDPR, EU AI Act).
• Collaborate with data scientists, DevOps and architects to document decisions and ensure production reliability.

Skills

Python

SQL

Docker

AWS

CI/CD

Infrastructure-as-Code

Education

Degree in Computer Science, AI, Data Science, or related field

Tools

AWS Bedrock

SageMaker

MLflow

Kubernetes

Terraform

Vector Databases/RAG

Job description

Apply Recruitment is seeking a Senior Data Engineer to lead the design and operation of production-grade Data & AI platforms. You will bridge Data Engineering, MLOps, and Cloud Architecture to deliver reliable, scalable capabilities that transform client data into AI features such as semantic search and suggestions.

The role requires strong Python, SQL, and AWS expertise, with a proven track record of running production AI workloads.