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Senior Staff Data Engineer- ML & AI Platform

Netherlands, Amsterdam · Job Posted January 25, 2026
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Job Description

At Marktplaats, data is at the heart of everything we do, but Intelligence is what differentiates us. We are building the ML/AI Platform that powers innovation across our entire Product & Technology landscape. You will join the Data Platform team—the engineering engine behind our Data & Analytics crew. You are stepping into a unique, hybrid ecosystem: we maintain a robust, high-scale traditional ML environment used daily by teams across Marktplaats, while simultaneously acting as the architects for our emerging GenAI capabilities. We are a team that values engineering rigor just as much as experimentation, looking for a leader to help us bridge the gap between stable production services and the bleeding edge of AI. As a Senior Staff Data Engineer – ML & AI Platform, you will be the bridge between infrastructure and Data Science, ensuring that our ML/AI environment is robust, scalable, and developer-friendly. Your mission is to solve the last mile problem of ML: making it easy to move models from a notebook to a high-scale production API. You are an R&D-minded leader who loves to experiment with the latest features (e.g., Databricks Agents, RAG Studio) and operationalize them into stable platform features. You will empower AI/ML Engineers and Data Scientists to be autonomous by building the tooling they need to self-serve.

Job Responsibility

  • Lead the evolution of our Machine Learning & AI Platform, designing the architecture for AI Agents and establishing patterns for Vector Databases
  • Act as a first mover, validate new Databricks features and integrate them into the platform
  • Write the guidelines for GenAI development, helping teams transition from notebook experiments to production-grade LLM applications
  • Design the Feature Store, manage the Model Registry, and set up the infrastructure for Vector Search and RAG (Retrieval Augmented Generation) workflows
  • Elevate the technical bar of the team, mentoring Staff and Senior engineers on design patterns, code quality, and architectural decisions
  • Translate complex requirements from ML Engineers and Data Scientists into robust engineering tickets and infrastructure roadmaps

Requirements

  • 10+ years of experience with a specific focus on the intersection of Data Engineering, MLOps, and AI Infrastructure
  • Deep knowledge of Spark internals, structured streaming, and performance tuning for large-scale data processing
  • Proven experience architecting end-to-end ML platforms for Traditional ML (Classic MLOps) while actively enabling the organization on Generative AI concepts
  • Strong background in building automated pipelines and ensuring system observability
  • Practical experience building infrastructure for Large Language Models, including managing the complexity of chaining models and tools
  • Solid experience serving models at low latency and high concurrency using containerized solutions
  • Ability to speak the language of AI/ML Engineers and effectively bridge the gap between experimental code and production systems

What we offer

  • An attractive Base Salary
  • Participation in our Short Term Incentive plan (annual bonus)
  • Work From Anywhere: Enjoy up to 20 days a year of working from anywhere
  • A 24/7 Employee Assistance Program for you and your family
  • A collaborative environment with an opportunity to explore your potential and grow

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