Data Engineering & AI/ML Internship

Location: Capelle aan den IJssel (On-site)

Hours: 16 per week

Pay: Hourly rate according to Dutch Law

Language: Dutch-speaking candidates preferred (Professional English is mandatory)

Work permit: You must be allowed to work in NL permanently. No visa sponsorships

Start Date: asap

Open positions remaining: 3

About Datahub

Datahub is not your typical consultancy. We don’t deliver dashboards, we activate decisions. We are a fast-growing Data and AI firm focused on helping organizations make better decisions, faster. With deep expertise in cloud platforms, Delta Lakehouses, event-driven architecture, AI, and LLMs, we design and implement solutions that don’t just inform, they automate and act. We are an official Microsoft and Databricks partner, but more importantly, we’re trusted by clients to turn complex data challenges into real, scalable outcomes.

Our Culture

At Datahub, culture is everything. We hire for skill, but we build our teams around people who bring curiosity, ownership, and character to the table. We look for talent that adds to our culture, not just fits into it.

About the Role

This internship is built for a rising data engineer or automation developer who’s eager to work on real-world problems. You will contribute to the ongoing development of our internal Datahub application, design and automate workflows using n8n, and help advance Genie, our internal chatbot powered by LLMs, vector search, and automation. You will get hands-on experience building backend components, integrating AI tools, and making insights flow directly into business workflows. Example projects include automating data flows for healthcare professionals, optimizing internal feedback loops, and making decision activations happen instantly where they matter most.

Our Approach to Trusted Data

At the heart of everything we do is trusted data. We put a strong focus on data governance, quality, observability, and lifecycle management, ensuring that insights are not only accurate, but reliable and policy-compliant. Our tech stack reflects this:

• We work with Databricks for scalable data engineering and Delta Lakehouse architectures.
• DevOps/GIT is place where our codes lives. Nowhere else.
• We use dbt to model and document data transformations in a governed, testable way.
• Power BI helps us activate insights where people work.
• And Azure is our cloud backbone for orchestration, storage, and integration.

This foundation is what enables us to build data products and automation that scale with trust, and why our solutions go beyond reports to drive decisions in real time.

What We’re Looking For

You are currently enrolled in a degree program in Computer Science, Data Science, AI, or a related field. You are fluent in Python and comfortable working with SQL, notebooks, dataframes, and pipeline logic. You’re interested in Databricks, large language models, automation tools like n8n, and building applications that actually get used. You’ve played with tools like LangChain, Power BI, or Azure. You enjoy building things that work, not just things that impress on GitHub.

What You’ll Gain

At Datahub, interns don’t shadow, they ship. Your work won’t sit in a folder, it will run in production. You’ll be supported by a passionate team, learn fast, and make a visible impact from day one where you'll also be surrounded by other passionate and smart interns.

Ready to Apply?

If that sounds like your kind of challenge, send us a message and tell us what excites you. Let’s talk.

Note: this text was obviously optimized via AI. We don't shy away from using AI, we encourage it when you use it to fuel your productivity. If you're willing to work on building a strong knowledge foundation, then AI can elevate your work. If your basis is weak, everything will be weak.

We test your skills and knowledge before you're accepted into the team via an online assessment with proctoring.