

Data Engineer
What are you going to do?
As a Data Engineer, you'll be right in the middle of it all: designing and building the data flows that power our solution, from capturing data at the edge, processing and storing it in the cloud, to making it accessible to the end user. You’ll work closely with ML/CV engineers to ensure data flows are efficient, resilient, and traceable. With your team, you’ll build Minimum Viable Products that are used by our customers.
Your responsibilities
Your team

Our offer
What's in it for you?


Required skills
Must haves:
- Data Engineering: You have experience with or a solid foundation in data engineering and are enthusiastic about everything related to data. You find it interesting to collect, process, and make data available, and you have strong Python skills for building data and ETL pipelines.
- Experience with embedded systems or resource-constrained environments.
- Cloud: You are familiar with cloud services (e.g. Blob Storage, Event Hubs, AKS, ACR).
- Containerization: You have experience with Docker and deploying containerized applications
- Knowledge of video data and processing tools.
- Familiarity with machine learning workflows and/or edge inference.
Get in touch!

AI in your work
At Nedap, we see AI as a valuable tool to help us work smarter. We are curious about what it makes possible and actively explore how it can help us collaborate better, improve the way we work, and create solutions that truly matter. We expect you to do the same: remain curious, explore how AI can add value in your work, and use it thoughtfully, responsibly, and with sound judgment. We provide the tools, space, and support to do so.
About Nedap
Nedap is a global leader in Digital Twin Technology, bridging the physical and digital worlds in Retail, Healthcare, Livestock, and Security. Guided by our Technology for Life philosophy, we create smart, sustainable solutions that help people and organizations thrive in a rapidly changing world. With over 1,000 colleagues, we shape the future with meaningful innovations.

