Medior Data Engineer

Let's transform healthcare

About Vitestro

Founded in 2017 in Utrecht, Vitestro is pioneering the future of blood collection with the Aletta® Autonomous Robotic Phlebotomy Device™ (ARPD™). This groundbreaking medical device combines advanced multi-modal imaging (near-infrared, ultrasound, and Doppler ultrasound) with robotics and AI to perform the entire diagnostic blood draw procedure autonomously.

By addressing critical healthcare staffing shortages and improving patient experience, Vitestro is transforming one of the most common and essential medical procedures. With more than 90 team members growing rapidly, we are scaling our impact. As we placed our first devices with customers, we are now expanding our team to ensure successful implementation and long-term reliability.

At Vitestro, we are committed to continuous innovation and improvement.

Join us as our new Data Engineer.

As a Data Engineer in the Application Team at Vitestro, you will play a critical role in enabling us to make data-driven decisions and gain deep insights into the performance of our devices. With our team at a pivotal phase of growth, it’s the perfect time for dynamic individuals like you to contribute and make an impact.

Your Responsibilities

In an agile, cloud-native environment, you will:

• Develop, enhance, and maintain scalable ETL/ELT (batch) data pipelines using Python (Polars) scripts in containerized deployments, including writing unit tests, managing schema versioning, and performing impact analyses.

• Integrate pipelines using cloud-native orchestration and execution services.

• Analyze and resolve data issues, coordinating required changes with software engineers and extending automated data quality checks (e.g. completeness and consistency).

• Collaborate closely with the Senior Data Engineer to scale pipeline performance while adhering to established architectural patterns.

• Partner with engineering and business stakeholders to understand data requirements and deliver clean, well-structured, and insightful dashboards.

• Contribute to pipeline auditability, traceability, and controlled change management.

You will also have opportunities to grow beyond business intelligence by contributing to data science initiatives, fault analysis tools, and support for machine learning and AI workflows embedded in our devices.

What You Bring

• A degree in Computer Science, Data Engineering, Applied Physics, or a closely related technical field; equivalent professional experience will also be considered.

• 2–5 years of experience in data engineering, including experience in handling batch processing jobs of complex data;

• Strong proficiency in Python, with solid software engineering fundamentals such as modular design, testing, version control, and code review practices.

• Hands-on experience building and operating ETL/ELT pipelines in data lake or lakehouse environments, with familiarity with modern Python data processing libraries (e.g. Polars, Pandas, PyArrow, PySpark).

• Demonstrated analytical thinking and problem-solving skills, with the ability to translate data requirements into reliable technical implementations.

• Strong interest / afinity with dashboarding

Nice to Have

• Experience with AWS-native data and orchestration services such as AWS Glue, AWS Step Functions, and AWS Lambda, as well as containerized deployments.

• Familiarity with Infrastructure as Code, CI/CD pipelines, and DataOps practices in a cloud environment.

• Exposure to data quality frameworks, anomaly detection, and high-volume, batch-oriented data workflows.

• Prior experience in regulated industries (e.g. medical devices, healthcare, life sciences) or environments requiring traceability and controlled change management.

  While familiarity with these areas is a bonus, what matters most is your eagerness to learn and grow. At Vitestro, we are committed to supporting you every step of the way on your learning journey.

What we offer

• Competitive salary including pension plan.

• 25 days of annual leave based on a full-time position.

• Hybrid work model.

• Working together in a high-skilled team with our home base in Utrecht.

• Frequent out-of-work activities with our team, and annual company weekend away.

• Annual training budget of €2000,-.

• Opportunity to be key shaper of a new global industry niche: autonomous medical robotics.

We offer an environment where you can make a real impact by joining a growing MedTech scale-up. Our team of driven and talented colleagues enjoys solving the challenges involved in developing, manufacturing, and bringing our breakthrough medical device to market. We work in an open culture where we strive for excellence across all domains. We value courage, challenge each other constructively, and learn and teach—regardless of age, nationality, or gender.

Are you excited?

We totally understand—so are we! By joining us, you can play an active role in shaping the future of healthcare. Ready to join our revolution? We’d love to hear from you.