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- Tasks: Design and build a unified lakehouse platform on Databricks to empower data-driven decisions.
- Company: Join CMR Surgical, an innovative company revolutionising surgical technology.
- Benefits: Competitive salary, bonus, healthcare, and personal days for your well-being.
- Why this job: Make a real impact in healthcare by shaping foundational data infrastructure.
- Qualifications: Experience with Databricks, cloud platforms, and data engineering best practices.
- Other info: Hybrid role with opportunities for continuous learning and career growth.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for a Senior Data Engineer to help design and build a unified lakehouse platform on Databricks, empowering CMR Surgical to become a truly data-driven organisation. Our mission is to democratise access to data across the company, enabling every team - from R&D to Commercial to make confident, data-informed decisions. This role is perfect for a product-minded engineer who applies robust software engineering practices to build trusted, discoverable, and scalable data products. Your work will help unlock innovation, fuel confident choices, and ultimately help us treat more patients with the Versius Surgical System.
But it’s not just about the work—it’s about the people. We are deeply committed to the growth and development of our team members, and work hard to foster an environment of continuous learning and growth. This is a hybrid role, with a minimum of 1 day per week in our Cambridge office, plus additional time on-site when needed.
About CMR Surgical: CMR is an exciting and evolving company to be joining right now. Our commitment to our goal of building a world-class medical devices company is underpinned by the ground-breaking innovation of our next generation of surgical robots and a diverse team of talented and supportive individuals. We’re breaking new ground which makes working here exciting, it provides autonomy, opportunity and makes the things you do visible. Come and join us and see what you’re capable of.
Responsibilities:
- Play a key role in shaping the foundations of our Databricks-based lakehouse platform: how do we organise our unity catalogue; how we define and maintain core dimensions and facts; and how we design a platform that is both discoverable and useful to teams across CMR.
- Write clean, performant Python and SQL, and work fluently with Spark/PySpark.
- Integrate third-party tools and connectors (e.g. from CRM systems and data discovery platforms) into a cohesive ecosystem.
- Take ownership of software components from inception to production, ensuring reliability and maintainability.
- Champion and contribute to continuous improvement initiatives within the team and wider organisation.
- Collaborate with stakeholders across the business to translate real-world challenges into elegant data solutions.
- Write clear and concise technical documentation.
- Be willing to turn your hand to anything within the Data remit that supports the team with delivering its objectives.
About you:
- Has hands-on experience building Databricks lakehouses, and is excited by the challenge of shaping foundational data infrastructure.
- Understands how to engineer data platform for trust, scalability, and discoverability, not just pipelines.
- Is confident working with Databricks, cloud (AWS), and the broader modern data stack.
- Enjoys working in a focused, fast-paced team, delivering iterative improvements and user-friendly outcomes.
- Thrives in a collaborative environment, contributing ideas and learning from peers to raise the bar across the team.
- Is adaptable, curious, and motivated by continuous learning.
- Has experience in data engineering, especially in greenfield or scaling environments, or equivalent.
- Applies data-as-a-product thinking: designs and delivers data assets that solve real problems for defined users. Ensures each dataset has a clear purpose, trusted documentation, quality checks, version control, and is built to deliver measurable business value.
- Thinks like an engineer: Git, CI, automated tests, modular code, alerting, and clean architecture are default.
- Is excited to lay foundational patterns that others will follow.
At CMR we’re building a diverse, inclusive, and authentic workplace; what matters most to us is that you identify with our values and are passionate about making a difference.
Why Join Us?
We offer a competitive salary and a great benefits package including a bonus, pension, healthcare, annual personal day for every employee to use however they wish and enhanced global parental leave pay. CMR can support with travel reimbursement for in-person interviews if you need a taxi for access needs. This role requires candidates to have eligibility to work within the UK.
Senior Data Engineer employer: Cmr Surgical
Contact Detail:
Cmr Surgical Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at CMR Surgical on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. It’s all about making connections!
✨Tip Number 2
Prepare for technical interviews by brushing up on your Python, SQL, and Spark skills. Practice coding challenges and be ready to discuss your past projects. Show us how you’ve tackled real-world data problems!
✨Tip Number 3
Don’t forget to showcase your soft skills! CMR values collaboration and continuous learning, so be ready to share examples of how you’ve worked in teams and adapted to new challenges. We want to see your personality shine through!
✨Tip Number 4
Apply directly through our website! This not only shows your interest but also helps us track your application better. Plus, it’s a great way to stay updated on any new roles that pop up!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Data Engineer role. Highlight your hands-on experience with Databricks and any relevant projects that showcase your ability to build scalable data solutions.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about the opportunity at CMR Surgical. Share your passion for data engineering and how you can contribute to our mission of democratizing access to data across the company.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python, SQL, and Spark/PySpark. We want to see examples of how you've applied these skills in real-world scenarios, especially in building data platforms that are reliable and maintainable.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Cmr Surgical
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Be ready to discuss your hands-on experience with building lakehouses and how you've tackled challenges in shaping foundational data infrastructure. This will show that you're not just familiar with the platform, but that you can also contribute meaningfully from day one.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've translated real-world challenges into elegant data solutions. Think about specific projects where you’ve integrated third-party tools or improved data discoverability. This will demonstrate your ability to think like an engineer and apply data-as-a-product thinking, which is crucial for this role.
✨Emphasise Collaboration and Continuous Learning
CMR values a collaborative environment, so be ready to talk about how you've worked with stakeholders across different teams. Share instances where you’ve contributed ideas and learned from peers. Highlight your adaptability and curiosity, as these traits align well with their commitment to growth and development.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions, especially around Python, SQL, and Spark/PySpark. Brush up on best practices for writing clean, performant code and be prepared to discuss your approach to version control, automated tests, and maintaining reliable software components. This will help you stand out as a product-minded engineer.
