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

Deliver end-to-end AI use cases**, including data pipelines, feature sets, models, and intelligent agents.

Build and operate Databricks lakehouse pipelines** (batch and streaming) with integrated data quality checks.

Engineer advanced AI solutions**, focusing on RAG (Retrieval-Augmented Generation), tool-using agents, and prompt strategies.

Enable business teams** by creating reusable components, templates, and best practices for AI development.

Ensure operational excellence**, maintaining reliability, cost control, and compliance with AI governance standards.

Develop custom models and prompts** tailored to specific engineering and business challenges.

Collaborate across the organization** to translate complex requirements into scalable, production-ready AI products.

What we’re looking for

Academic Foundation**: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.

Technical Proficiency**: Strong hands-on experience with Python and SQL** for both data engineering and machine learning.

Databricks Expertise**: Solid understanding of the Databricks ecosystem (Spark, Delta Lake, and Workflows).

Project Portfolio**: A demonstratable portfolio of projects (academic, internship, or professional) showcasing your ability to build and deploy data/AI solutions.

Proactive Learner**: A team-first mindset with a drive to stay ahead of rapidly evolving AI trends.

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

Azure AI Stack**: Experience with Azure OpenAI and Azure Machine Learning services.

LLM Toolkits**: Familiarity with frameworks like LangChain** or Semantic Kernel, and an understanding of LLMOps.

DevOps/IaC**: Experience with GitHub Actions and Terraform**.

ML Frameworks**: Experience with PyTorch, TensorFlow, or scikit-learn.