Data Engineer

Overview

In this Data Engineer role within Medtronic’s AI and Algorithm team in Edinburgh, you will design and operate data pipelines powering AI-driven patient monitoring research. You contribute to end-to-end data lifecycle management across clinical trials, sensor platforms, and HPC environments, enabling reliable data for innovation. You will work with cross-functional teams to shape data infrastructure and standards for R&D. This is a hands-on position at the intersection of healthcare, data engineering, and advanced analytics, offering impact at scale.

Pay / Benefits

• competitive salary
• flexible benefits package
• short-term incentive plan (MIP)

Responsibilities

• Own 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 for 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

Key requirements

• 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
• collaborative mindset
• adaptability in a fast-paced, cross-functional environment
• strong communication and problem-solving abilities
• database architecture and management
• ETL/ELT pipeline development
• Python

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