Data Engineer

Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact.

Day in the Life

We’re a high-performing Artificial Intelligence and Algorithm team based in Edinburgh, supporting both novel sensor research and the enhancement of mature, field-deployed products. Our team is part of the Acute Care and Monitoring (ACM) Operating Unit, headquartered in Lafayette, Colorado. ACM is committed to driving innovation and long-term growth through excellence in research and commercialization.

We’re looking for a versatile and passionate Data Engineer to join our cutting-edge R&D team. In this role, you’ll design, architect, and manage complex research data pipelines that drive innovation across multiple projects: from early-stage exploratory research to the development of world-class patient monitoring technologies.

You’ll thrive in a fast-paced environment, contributing across the full data lifecycle and collaborating with cross-functional teams. Your broad technical expertise and hands-on approach will help shape the data infrastructure that powers our AI and algorithm development efforts.

This role will be based in our Edinburgh office

Primary Responsibilities:

• Own the end-to-end data lifecycle, from clinical study data collection to clinical validation trials.

• Design and manage scalable data infrastructure across clinical trials, sensor platforms, and HPC environments.

• Maintain and optimize data storage, access, security, and backup systems.

• Develop data manipulation, processing, and testing tools to ensure data quality and reliability.

• Define and implement data architecture, engineering best practices, and standards across R&D.

• Collaborate with AI engineers, researchers, and cross-functional teams to align data systems with project goals.

• Enable reliable, efficient data usage for AI, machine learning, and signal processing applications.

• Drive data architecture decisions and continuous improvements in a dynamic R&D environment.

Required Qualifications:

• Bachelor’s degree in Computer Science, Software Engineering, Engineering, Physics, Biomedical Engineering, or a related technical field.

• 4+ years of relevant professional experience in data engineering, software engineering, or a related field.