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- Tasks: Design and build a next-gen data platform on Databricks for impactful medical technology.
- Company: Rapidly scaling medical tech innovator focused on groundbreaking surgical robotics.
- Benefits: Competitive salary, medical cover, pension contributions, and supportive work culture.
- Why this job: Make a real difference in healthcare while developing cutting-edge data solutions.
- Qualifications: Experience with Databricks, AWS, and strong data engineering skills.
- Other info: Join a collaborative team with huge opportunities for growth and learning.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Do you enjoy working closely with a tight-knit team? Do you want to work in a business where making a difference is at the heart of their goals?
I’m supporting a rapidly scaling medical technology innovator in their search for a Senior Data Engineer to help design and build a next-generation unified lakehouse platform on Databricks. This is a fantastic opportunity for a product-minded engineer who wants to apply solid software engineering principles to build trusted, discoverable, and scalable data products - ultimately empowering every team across the organisation to make confident, data-driven decisions.
You’ll be working at the heart of a mission-driven company developing groundbreaking surgical robotics technology. Your work will help unlock innovation, improve data accessibility, and support teams working to bring life-changing medical technology to more patients.
Alongside impactful work, you’ll join a supportive and collaborative environment that values continuous learning, professional development, and technical excellence.
Key Responsibilities:- Playing a key role in shaping the foundations of a Databricks-based lakehouse platform - designing how the catalogue is structured, defining core dimensions/facts, and ensuring the platform is discoverable and useful across the business.
- Writing clean, performant Python, SQL, and working confidently with Spark/PySpark.
- Integrating third-party tools, connectors, and SaaS data sources into a cohesive data ecosystem.
- Owning software components end-to-end: from idea, to build, to production (ensuring reliability and maintainability).
- Championing continuous improvement and modern engineering practices.
- Working closely with cross-functional stakeholders to turn real-world problems into elegant data solutions.
- Producing clear, concise technical documentation.
- Adapting within a fast-evolving environment and contributing across the data remit wherever needed.
- Have hands-on experience building Databricks lakehouse architectures and are excited by shaping foundational data infrastructure.
- Understand how to engineer data platforms for trust, scalability, and discoverability, not just produce pipelines.
- Are confident with Databricks, AWS, and the modern data stack.
- Enjoy fast-paced, iterative delivery and creating user-friendly, value-driven outcomes.
- Collaborate naturally, share ideas openly, and learn from those around you.
- Are adaptable, curious, and motivated by continuous improvement and learning.
- Bring strong experience in data engineering, particularly in greenfield or scaling environments (or equivalent).
- Embrace “data as a product” thinking - ensuring datasets have clear purpose, documentation, quality checks, version control, and measurable value.
- Think like a seasoned engineer: Git, CI, modular code, automated tests, alerting, and clean architecture are second nature.
- Are excited to establish foundational patterns that others will follow.
You’ll be joining a company that is building world-class medical technologies and breaking new ground in robotic surgery. The work is meaningful, the teams are supportive, and the opportunities for impact and growth are huge.
What are the benefits?:- Competitive basic salary
- Medical cover
- Death in service
- Additional Pension contribution
Keen to express your interest, or find out more?
- Option 1: Click the apply button (don’t worry, we’ll discuss your CV before submitting)
- Option 2: Call in to the SoCode Cambridge office and ask for Rachel
- Option 3: Drop me a message on LinkedIn (Rachel Bush – SoCode Recruitment)
Senior Data Engineer employer: SoCode Limited
Contact Detail:
SoCode Limited 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 the company you're eyeing, especially those in data roles. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects, especially those related to Databricks and data engineering. This is your chance to demonstrate your expertise beyond the CV.
✨Tip Number 3
Ace the interview by being prepared! Research the company’s mission and values, and think about how your experience aligns with their goals. Be ready to discuss how you can contribute to their innovative projects.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
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 platforms.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about working in medical technology. Share specific examples of how you've contributed to data engineering projects and how you can help shape our lakehouse platform.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python, SQL, and Spark/PySpark. We want to see how you’ve applied these skills in real-world scenarios, so include any relevant projects or achievements.
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 this exciting opportunity to make a difference in medical technology.
How to prepare for a job interview at SoCode Limited
✨Know Your Tech Stack
Make sure you’re well-versed in Databricks, AWS, and the modern data stack. Brush up on your Python, SQL, and Spark/PySpark skills, as these will likely come up during technical discussions. Being able to demonstrate your hands-on experience with these technologies will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've turned real-world problems into elegant data solutions. Think about how you’ve shaped foundational data infrastructure in previous roles and be ready to explain your thought process. This will highlight your ability to adapt and innovate in a fast-paced environment.
✨Emphasise Collaboration
Since this role involves working closely with cross-functional stakeholders, be prepared to talk about your collaborative experiences. Share instances where you’ve worked in tight-knit teams and how you’ve contributed to a supportive environment. This will resonate well with the company’s values of teamwork and continuous learning.
✨Demonstrate Continuous Improvement Mindset
Discuss how you embrace 'data as a product' thinking and your commitment to modern engineering practices. Be ready to share examples of how you’ve implemented quality checks, version control, and documentation in your projects. This will show that you’re not just about building pipelines but also about ensuring they are reliable and maintainable.
