Data Engineer - AWS, Python for Medical Robot Development
Join a fast-growing MedTech scale-up developing the world's first autonomous blood-drawing robot. As a Data Engineer, you'll design and maintain production-grade ETL and ELT pipelines in a cloud-native setup. You'll work closely with engineering and business to make data reliable, traceable, and actionable.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Data Engineer – AWS, Python | Utrecht [75K]
[MedTech]
Ready to turn real-world device data into insights that shape patient care? This is your chance to work at the heart of an innovative medical robot entering the market.
My client is a fast-growing MedTech scale-up (~100 people, strong engineering focus) developing the world’s first autonomous blood-drawing robot. With CE approval secured and funding through 2027, they are moving from development into large-scale deployment. You’ll join the Application Team, working closely with engineering and business to make data reliable, traceable, and actionable.
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What you’ll do
You’ll help build and scale the data backbone behind a regulated, hardware-driven product. Working in a cloud-native setup, you’ll design and maintain production-grade ETL and ELT pipelines that support both operational insight and long-term product performance. Day to day, you’ll develop Python-based pipelines using modern libraries like Polars, run them in containerised environments, and integrate them with AWS orchestration services. You’ll collaborate closely with a Senior Data Engineer to improve performance and robustness, investigate data issues, extend automated quality checks, and translate requirements into clean datasets and clear dashboards. There’s also room to grow into data science, fault analysis, and support for ML and AI workflows embedded in the devices.
Your profile
• 2+ years of experience with AWS-native services, containers, & DataOps practices.
• 3–5 years of experience in data engineering, backend engineering, or analytics focused roles.
• Strong Python skills.
• Hands-on experience with ETL or ELT pipelines in data lake or lakehouse environments.
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• Familiar with modern data tooling such as Polars & Pandas.
• Experience in delivering cleanand insightful dashboards to business stakeholders.
What’s in it for you
A salary up to €75K, hybrid working setup, visa/relocation support including HSM
eligibility and the 30% ruling.
Interested?
Contact me at sander@doghouse-recruitment.nl.
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