Job Search and Career Advice Platform

Enable job alerts via email!

Data Engineer

CMR Surgical

Cambridgeshire and Peterborough

Hybrid

GBP 60,000 - 80,000

Full time

Today
Be an early applicant

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Job summary

A data-driven medical technology company in the UK seeks a Senior Data Engineer to design and build a unified lakehouse platform on Databricks. The role involves shaping foundational data infrastructure, writing performant code in Python and SQL, and collaborating with teams to create innovative data solutions. Candidates should have experience with Databricks, AWS, and a strong focus on building scalable and trustworthy data products. This hybrid position offers competitive salaries and a comprehensive benefits package.

Benefits

Competitive salary
Bonus
Pension
Healthcare
Annual personal day
Enhanced parental leave pay
Travel reimbursement for interviews

Qualifications

  • Hands-on experience building Databricks lakehouses.
  • Knowledge of data platform engineering for trust and scalability.
  • Ability to design user-friendly data solutions.

Responsibilities

  • Shape the foundations of the Databricks-based lakehouse platform.
  • Write clean, performant code using Python and SQL.
  • Integrate third-party tools into a cohesive data ecosystem.
  • Take ownership of software components from inception to production.

Skills

Databricks lakehouses
Python
SQL
Spark/PySpark
AWS
Data engineering
Collaboration
Modular code
Continuous improvement
Job description
Job Overview

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.

This is a hybrid role with a minimum of 1 day per week in our Cambridge office, plus additional time on‑site when needed.

Responsibilities
  • Play a key role in shaping the foundations of our Databricks‑based lakehouse platform: how 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.
  • Think like an engineer: Git, CI, automated tests, modular code, alerting, and clean architecture are default.
Qualifications
  • Has hands‑on experience building Databricks lakehouses, and is excited by the challenge of shaping foundational data infrastructure.
  • Understands how to engineer a 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.
  • Have experience in data engineering, especially in greenfield or scaling environments, or equivalent.
  • Apply data‑as‑a‑product thinking: design and deliver data assets that solve real problems for defined users. Ensure each dataset has a clear purpose, trusted documentation, quality checks, version control, and is built to deliver measurable business value.
  • Are excited to lay foundational patterns that others will follow.
  • At CMR we’re building a diverse, inclusive, and authentic workplace.
Benefits

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, enhanced global parental leave pay, and travel reimbursement for in‑person interviews if you need a taxi for access needs.

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.