AI/ML Data Engineer

Building tomorrow with today's best technology. Working at LINKIT is about pushing boundaries. Discovering, developing, sharing expertise, and continuously seeking improvement. We combine long-term strategic thinking, deep enterprise experience, and a people-focused approach to help clients transform their business processes and dominate their industries. Every day, more than 1,000 of our people from 20+ countries work on critical technology at companies like the Ministry of Defence, KLM, and ASML.

Big enough to make an impact, small enough to stay connected

The digital revolution revolves around data. And increasingly, that data is smart, self-learning. That's why at LINKIT, we're looking for an AI/ML Data Engineer who not only masters the fundamentals of Data Engineering but also has experience building, maintaining, and operationalizing machine learning and generative AI solutions. Within our squads, you'll work on projects with social and technological impact: from real-time freight data at KLM to RAG solutions for government agencies. You'll build robust, scalable infrastructure that enables and accelerates ML/AI.

Your role as an AI/ML Data Engineer

As an AI/Machine Learning Data Engineer, you are the bridge between data and intelligence. You build robust pipelines and platforms that enable machine learning and generative AI models to run securely, scalably, and reproducibly. You collaborate closely with data scientists, contribute to building MLOps environments, and implement GenAI solutions using Azure and open-source technologies. Together with your squad, you work end-to-end on projects that bring AI to life within complex enterprise environments. Your Responsibilities:

• Design and build data pipelines and ML infrastructure on Azure, Databricks, and Spark

• Develop, test, deploy, and monitor end-to-end ML solutions (CI/CD, MLOps)

• Integrate generative AI applications such as Azure OpenAI or open-source models

• Collaborate with NLP specialists, data scientists, and business stakeholders

• Work with tools like Python, SQL, Airflow, MLflow, Kubernetes, and Azure ML

What You bring

• At least 3 years of experience in data engineering, including 1+ year in ML/AI projects

• Hands-on experience with generative AI (Azure OpenAI, RAG architectures, or open-source models)

• Strong skills in Python, Scala, or RUST, with familiarity in CI/CD and performance monitoring

• Experience with Databricks, Spark, and cloud platforms (Azure, GCP, AWS)

• Understanding of setting up and managing ML pipelines and model lifecycle

• You’re curious, self-driven, and thrive in team collaboration

What You’ll get in return

We’re down-to-earth people who feel just as comfortable in our client’s teams as we do in our own office. We’re a close-knit group of talented individuals building and running the company together. At LINKIT, you don’t just shape the future of our clients—you shape our own future too. You’ll be part of an award-winning company culture. In addition, we offer:

• A gross salary of up to €6,000 per month based on a 40-hour workweek, depending on your experience and skills

• Pension scheme with Zwitserleven, with 50% of the premium paid by us—or extra salary if you choose to opt out

• 25 vacation days based on a full-time contract

• Electric lease car or mobility allowance

• A phone and the latest Microsoft Surface or MacBook

• A net monthly work-from-home allowance

• Annual profit-sharing bonus—an 8-year proud tradition

• A 40-hour workweek, with 36 hours typically spent on projects. The remaining time is dedicated to personal development, innovation, and knowledge sharing during our club days

• Special perks like biweekly club days, annual ski trips, access to a wellbeing platform, Wendy’s fresh daily lunch ♡, and much more…

This is what you can expect from our application process

Meet our team

We'd like to invite you for a brief introduction. Would you like to learn more about the position or our projects first? Feel free to contact Dineke via 06-38324948 or dineke.mulder@linkit.nl.