Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Engineer

KDR Talent Solutions
Cambridge
2 days ago
Create job alert
Overview

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

Direct message the job poster from KDR Talent Solutions

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


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer | Cambridge | Greenfield Project

Senior Data Engineer - Azure, BI & Data Strategy

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.