Senior Data Engineer

Do you 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.About You:

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.Why This Role Matters 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)