Medior Data Engineer - Python, AWS

Doghouse Recruitment โ€ข Netherlands
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AI Summary

Join a fast-growing MedTech scale-up as a Medior Data Engineer to build and scale the data backbone behind a regulated, hardware-driven product. Develop Python-based pipelines using modern libraries like Polars, run them in containerized environments, and integrate them with AWS orchestration services. Collaborate closely with a Senior Data Engineer to improve performance and robustness.

Key Highlights
Build and scale data backbone behind a regulated product
Develop Python-based pipelines using Polars
Collaborate with Senior Data Engineer
Technical Skills Required
Python Polars AWS Containers ETL/ELT pipelines Data lake/Lakehouse
Benefits & Perks
Up to โ‚ฌ75K salary
Hybrid working setup
Visa/relocation support including HSM eligibility and the 30% ruling

Job Description


Medior Data Engineer โ€“ Python, AWS | Utrecht [75K] (MedTech)


Turn real-world device data into insights that shape patient care. My client is a fast-growing MedTech scale-up (~100 people, strong engineering focus) building a next-generation robotic medical device that combines hardware, software, and data at its core. With CE approval secured and funding through 2027, they are scaling from development into real-world deployment. Youโ€™ll join the Application Team, working closely with engineering and business to make data reliable, traceable, and actionable.


Responsibilities

Youโ€™ll help build and scale the data backbone behind a regulated, hardware-driven product. Working in a cloud-native setup, youโ€™ll design and maintain production-grade ETL and ELT pipelines that support both operational insight and long-term product performance. Day to day, youโ€™ll develop Python-based pipelines using modern libraries like Polars, run them in containerised environments, and integrate them with AWS orchestration services. Youโ€™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.


Your profile

  • 2+ Years of experience in data engineering
  • Strong Python skills; familiar with modern data tooling such as Polars, Pandas, PyArrow, or PySpark.
  • Experience with AWS, containers, or DataOps practices.
  • Hands-on experience with ETL or ELT pipelines in data lake or lakehouse
  • Communicative, structured, and comfortable working in a regulated environment.


Whatโ€™s in it for you

A salary up to โ‚ฌ75K, hybrid working setup, visa/relocation support including HSM eligibility and the 30% ruling.


Interested? Contact me at josse@doghouse-recruitment.nl


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