IT & Software

Data Engineer

Medtronic

Edinburgh · City of Edinburgh · United Kingdom

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

Reference: WJ-747_31051819

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