At a Glance
- Tasks: Design and manage data pipelines that drive innovation in healthcare technology.
- Company: Join Medtronic, a global leader in healthcare technology with a mission to improve lives.
- Benefits: Competitive salary, flexible benefits, and a commitment to employee growth.
- Other info: Dynamic R&D environment with opportunities for career advancement.
- Why this job: Shape the future of healthcare while working on cutting-edge AI and algorithm projects.
- Qualifications: Bachelor's degree in a technical field and experience in data engineering.
The predicted salary is between 63000 - 77000 £ per year.
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.
- 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.
Benefits & Compensation
Medtronic offers a competitive Salary and flexible Benefits Package
A commitment to our employees lives at the core of our values.
We recognize their contributions.
They share in the success they help to create.
We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.
Pay range / Rango salarial / Intervalo salarial /Fascia retributiva / Tranche de salaire / Gehaltsband / Salaribereik: United
Kingdom: 76,800.00 GBP- 115,200.00 GBP | The final salary within this range will be determined based on objective, job‑related criteria, including relevant experience, skills and qualifications, in accordance with our compensation framework.
This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).
Senior Data Engineer employer: Medtronic
At Medtronic, we are dedicated to fostering a work environment that prioritises employee growth and well-being. As a Customer Service Representative in the UK&I, you will be part of a dynamic team that values innovation and collaboration, offering you the chance to make a real impact in healthcare while enjoying a competitive salary and flexible benefits. Join us to develop your career in a purpose-driven culture that supports your professional journey and celebrates your contributions to improving patient care.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Medtronic!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Engineer at Medtronic.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Medtronic.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at Medtronic, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Medtronic, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Medtronic. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Medtronic
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Medtronic!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
