Overview

Senior Data Engineer (Databricks)

| Scaling Healthcare Client | Hybrid (Cambridge, UK) | Competitive salary + bonus + benefitsDirect message the job poster from KDR Talent SolutionsThe 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 RandD, 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 implementationOpportunity to shape foundational data infrastructure from day oneCollaborative, mission-driven culture with strong commitment to learning and growthHybrid model with flexible working and excellent benefitsThe 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 AWSWrite clean, performant Python, SQL, and PySpark to power robust data pipelinesIntegrate third-party connectors (CRM, ERP, and data discovery tools) into a cohesive ecosystemTake ownership of components end-to-end: design, build, testing, deployment, and monitoringApply data-as-a-product thinking, ensuring datasets are well-documented, versioned, quality-controlled, and business-alignedChampion engineering best practices: Git, CI/CD, automated tests, modular design, and alertingCollaborate with stakeholders across functions to translate complex challenges into elegant data solutionsYour 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 practicesFamiliar with AWS cloud and the modern data stackExperience in greenfield or scaling environments highly desirableStrong collaborator who thrives in cross-functional teamsPassionate about building high-quality, discoverable, and scalable data productsCurious, adaptable, and motivated by continuous learning and improvementWhy Join?

Competitive salary and annual bonusComprehensive benefits including healthcare, pension, enhanced parental leavePersonal development opportunities and culture of continuous learningHybrid working with flexibility to balance life and workJob Details

Seniority level:

Mid-Senior levelEmployment type:

Full-timeJob function:

Information TechnologyIndustries:

Staffing and Recruiting, Hospitals and Health Care, and Health and Human Services

#J-18808-Ljbffr