Data Engineer

Location: City of Edinburgh

## Data Engineer Solicitar:
Acuerdo de trabajo flexible:
Edinburgh, Scotland, United Kingdom:
Tiempo completo:
Publicado hoy:
R73585

En Medtronic, puedes empezar una carrera para toda la vida que se centre en la investigación y en la innovación y que defienda la equidad y el acceso a la atención sanitaria para todos. Tu liderazgo dejará huella, eliminando obstáculos para impulsar la innovación en un mundo más conectado y humanitario.
** Un día normal
** 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
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* Primary Responsibilities:

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* * 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.
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* Required Qualifications:

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* * 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.  
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* Preferred Qualifications:

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* * 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.Requisitos físicos del puesto

Las declaraciones anteriores pretenden describir la naturaleza general y el nivel de trabajo que realizan los empleados asignados a este puesto, pero no son una lista exhaustiva de todas las responsabilidades y habilidades necesarias para este puesto.
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