Data & AI Engineer

At Sytac, we build high-performing engineering teams for leading organizations in the Netherlands and beyond. We combine a pragmatic, people-first culture with strong technical craftsmanship — giving engineers autonomy in real production environments, backed by a consultancy that invests in growth, community, and long-term partnerships.
For one of our key clients in the marine and engineering sector, we are looking for a Data & AI Engineer to join a dedicated Data & AI Platform team. You will be responsible for delivering production-grade AI solutions, designing intelligent agents, and building the data foundations that accelerate AI adoption across a global organization.
This is a hands-on role built on an Azure + Databricks foundation, offering a clear growth path for an engineer eager to bridge the gap between core data engineering and cutting-edge Generative AI.
What you’ll do
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Deliver end-to-end AI use cases , including data pipelines, feature sets, models, and intelligent agents.
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Build and operate Databricks lakehouse pipelines (batch and streaming) with integrated data quality checks.
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Engineer advanced AI solutions , focusing on RAG (Retrieval-Augmented Generation), tool-using agents, and prompt strategies.
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Enable business teams by creating reusable components, templates, and best practices for AI development.
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Ensure operational excellence , maintaining reliability, cost control, and compliance with AI governance standards.
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Develop custom models and prompts tailored to specific engineering and business challenges.
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Collaborate across the organization to translate complex requirements into scalable, production-ready AI products.
What we’re looking for
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Academic Foundation : Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
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Technical Proficiency : Strong hands-on experience with Python and SQL for both data engineering and machine learning.
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Databricks Expertise : Solid understanding of the Databricks ecosystem (Spark, Delta Lake, and Workflows).
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Project Portfolio : A demonstratable portfolio of projects (academic, internship, or professional) showcasing your ability to build and deploy data/AI solutions.
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Proactive Learner : A team-first mindset with a drive to stay ahead of rapidly evolving AI trends.
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Fluent in English + EU residency (no sponsorship).
Tooling (must understand and use in practice): Databricks (Spark/SQL), Azure Cloud, Python, Delta Lake, and Git.
Nice to have
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Azure AI Stack : Experience with Azure OpenAI and Azure Machine Learning services.
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LLM Toolkits : Familiarity with frameworks like LangChain or Semantic Kernel, and an understanding of LLMOps.
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DevOps/IaC : Experience with GitHub Actions and Terraform .
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ML Frameworks : Experience with PyTorch, TensorFlow, or scikit-learn.