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.

A 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.

Strong expertise in database architecture, design, and management.

Proven experience developing and maintaining ETL/ELT pipelines and scalable data workflows.

Strong proficiency in Python and SQL, or other relevant programming languages.

Experience with CI/CD pipelines, automation, and configuration management.

Preferred Qualifications:

Experience in medical devices, sensor technologies, or algorithm development.

Understanding of signal processing techniques.

Familiarity with machine learning and artificial intelligence frameworks.

Exposure to computer vision and image processing.

Knowledge of healthcare industry standards and regulatory requirements.

Working proficiency in C++, C#, or MATLAB. Physical

Job Requirements The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position. ‌‌Recruitment Fraud Alert We are aware of phishing scams targeting job seekers. Please keep the following in mind:
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