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AI & Data Engineer

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Riverflex

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Location:
Netherlands , Rotterdam

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

A large, international company in the engineering sector is scaling production-grade AI across the organization. The Data & AI Platform team is expanding delivery capacity and is looking for an interim Data & AI Engineer who can step in immediately, take ownership of AI use cases end-to-end, and accelerate adoption across business teams on an Azure + Databricks foundation. This is a hands-on delivery role with high autonomy: you will build, ship, operate, and improve AI solutions in production—while introducing reusable components and pragmatic best practices that raise the bar across the platform.

Job Responsibility:

  • Deliver AI use cases end-to-end: from ingestion and feature engineering to model/agent development and production rollout
  • Design and operate Databricks lakehouse pipelines (batch and streaming) using Spark/SQL/Delta Lake, including monitoring and data quality controls
  • Build AI solutions on the platform, including: RAG patterns (retrieval, chunking, embeddings, evaluation), tool-using agents and orchestration approaches, prompt strategies and testing/guardrails, (where relevant) custom ML models and supporting pipelines
  • Productionize and run what you build: reliability, observability, cost control, and operational hygiene
  • Enable other teams by creating reusable components, templates, and delivery standards
  • Work with governance and compliance: align with AI governance requirements and ensure solutions are secure and auditable
  • Collaborate with stakeholders across IT and the business to translate needs into working solutions and clear delivery increments

Requirements:

  • Proven experience as a Data Engineer / Data & AI Engineer delivering solutions into production environments
  • Strong hands-on Databricks expertise: Spark/SQL, Delta Lake, Jobs/Workflows, performance tuning
  • Strong Python + SQL for data engineering and AI/ML workflows
  • Experience building data pipelines with quality checks and operational monitoring
  • Practical experience with LLM-based solutions (RAG and/or agents), including prompt strategies and evaluation approaches
  • Comfortable working independently in an interim context: you can own delivery, communicate clearly, and unblock yourself

Nice to have:

  • Azure services exposure (e.g., Azure ML, Azure OpenAI, Key Vault, Functions, ADF)
  • LLM toolkits (LangChain, Semantic Kernel), prompt evaluation frameworks, early LLMOps patterns
  • CI/CD (GitHub Actions) and Infrastructure-as-Code (Terraform)
  • ML frameworks (PyTorch, TensorFlow, scikit-learn) where needed

Additional Information:

Job Posted:
February 03, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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