Overview

Senior Data Engineer (Databricks) | Scaling Healthcare Client | Hybrid (Cambridge, UK) | Competitive salary + bonus + benefits

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The Company

Our client is an innovative scale-up at the forefront of advanced technology, building data-driven solutions that power global impact. With a mission to unlock insights across R&D, commercial, and operational functions, they are investing in a modern data platform to enable smarter, faster, and more confident decision-making across the business.

• Work on a greenfield Databricks lakehouse implementation
• Opportunity to shape foundational data infrastructure from day one
• Collaborative, mission-driven culture with strong commitment to learning and growth
• Hybrid model with flexible working and excellent benefits

The Role

As Senior Data Engineer, you’ll play a key role in designing and building a unified data platform that underpins critical decision-making across the organisation. This is a chance to apply modern engineering practices to create trusted, scalable, and discoverable data products that deliver measurable value.

• Architect and deliver a Databricks-based lakehouse platform on AWS
• Write clean, performant Python, SQL, and PySpark to power robust data pipelines
• Integrate third-party connectors (CRM, ERP, and data discovery tools) into a cohesive ecosystem
• Take ownership of components end-to-end: design, build, testing, deployment, and monitoring
• Apply data-as-a-product thinking, ensuring datasets are well-documented, versioned, quality-controlled, and business-aligned
• Champion engineering best practices: Git, CI/CD, automated tests, modular design, and alerting
• Collaborate with stakeholders across functions to translate complex challenges into elegant data solutions

Your Experience

We are looking for a hands-on, product-minded data engineer who thrives in fast-paced, scaling environments.

• Strong experience building data platforms in Databricks (lakehouse design, Unity Catalog, medallion architecture)
• Skilled in Python, SQL, Spark/PySpark, with a strong foundation in clean engineering practices
• Familiar with AWS cloud and the modern data stack
• Experience in greenfield or scaling environments highly desirable
• Strong collaborator who thrives in cross-functional teams
• Passionate about building high-quality, discoverable, and scalable data products
• Curious, adaptable, and motivated by continuous learning and improvement

Why Join?

• Competitive salary and annual bonus
• Comprehensive benefits including healthcare, pension, enhanced parental leave
• Personal development opportunities and culture of continuous learning
• Hybrid working with flexibility to balance life and work

Job Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology
• Industries: Staffing and Recruiting, Hospitals and Health Care, and Health and Human Services