Product Manager

CMR Surgical; Hartford; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading medical technology company in the United Kingdom is seeking a Senior Data Engineer to design and build a unified lakehouse platform on Databricks. This role involves writing performant Python and SQL, integrating tools, and shaping data infrastructure. The ideal candidate will have hands-on experience with Databricks and a passion for data as a product. Benefits include a competitive salary, bonus, pension, healthcare, and enhanced parental leave pay.

Benefits

Competitive salary

Bonus

Pension

Healthcare

Annual personal day

Enhanced global parental leave pay

Travel reimbursement for interviews

Qualifications

• Hands-on experience building Databricks lakehouses.
• Understanding of designing data platforms for trust and discoverability.
• Confidence working with the broader modern data stack.
• Experience in data engineering in scaling environments.

Responsibilities

• Shape the foundations of the Databricks-based lakehouse platform.
• Write clean, performant Python and SQL.
• Integrate third-party tools and connectors.
• Take ownership of software components from inception to production.
• Champion continuous improvement initiatives.
• Collaborate with stakeholders to translate challenges into data solutions.

Skills

Databricks lakehouses

Python

SQL

Spark/PySpark

AWS

Data Engineering

Tools

Git

CI

Job description

Job Overview

We are hiring 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. This role is perfect for a product‑minded engineer who applies robust software engineering practices to build trusted, discoverable, and scalable data products.

Responsibilities

• Play a key role in shaping the foundations of our Databricks‑based lakehouse platform: organising our Unity catalogue, defining and maintaining core dimensions and facts, and designing a platform 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.

Qualifications

• Hands‑on experience building Databricks lakehouses and excitement about shaping foundational data infrastructure.
• Understanding of designing data platforms for trust, scalability, and discoverability, not just pipelines.
• Confidence working with Databricks, 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.
• Adaptable, curious, and motivated by continuous learning.
• Experience in data engineering, especially in green‑field or scaling environments, or equivalent.
• Apply data‑as‑a‑product thinking: design and deliver data assets that solve real problems for defined users, ensuring each dataset has a clear purpose, trusted documentation, quality checks, version control, and delivers measurable business value.

Preferred Practices

• Think like an engineer: Git, CI, automated tests, modular code, alerting, and clean architecture are default.
• Excited to lay foundational patterns that others will follow.
• Committed to CMR's inclusive and authentic workplace culture.

Benefits

Competitive salary with bonus, pension, healthcare, annual personal day, enhanced global parental leave pay, and travel reimbursement for in‑person interviews.