Senior Data Engineer (NHS)

Workable
London
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

We're looking for aSenior Data Engineerto join our supportive and mission-driven Data Team. This is an exciting opportunity to work on a nationally significant programme powered by NHS health data — helping researchers solve complex challenges on a truly industrial with global significance.

In this role, you’ll bring your experience working with NHS datasets to help design, build, and maintain data pipelines that enable trusted, high-quality insights. You’ll collaborate closely with colleagues across multiple disciplines — from Researchers and Epidemiologists to Software Engineers and Product Leads — contributing to a shared code base that delivers real-world health data for discovery.

What You'll Be Doing:

  • Support the build of data pipelines from data providers to our primary data store and trusted research environment. Support the design, scoping and build of data flows.
  • Produce logic for data transformation steps as code, which meets the requirements for our end users and builds well curated, accessible and quality controlled data for analysis.
  • Contribute to code base for multiple data pipelines while ensuring best coding practises are used.
  • The opportunity to work with Data Scientists and Epidemiologists to understand their data requirements and collaborate with them to deliver the data needed for their projects.
  • Keep abreast of best practice in data engineering across industry, research and Government and facilitating the adoption of these standards.

Requirements

  • Experience building and maintaining robust, scalable and efficient data pipelines. Capable of processing very large amounts of data based on feeds from multiple systems using a range of different technologies.
  • You’re an empathetic communicator, comfortable bridging technical and non-technical perspectives
  • You’re confident working with NHS health data and understand the nuances of secondary and primary care datasets (Hospital Episodes Statistics, Death registry data, A&E data etc) as well as Primary care (GP data) would be advantageous.
  • Highly proficient in Python with solid command line knowledge and Unix skills.
  • Good understanding of cloud environments (ideally Azure), distributed computing and optimising workflows and pipelines.
  • Understanding of common data transformation and storage formats, e.g. Apache Parquet, Delta tables.
  • Understanding of containerisation (e.g. Docker) and deployment (e.g. Kubernetes).
  • Working knowledge using Spark, Databricks, Data Lakes.
  • Follow best practices like code review, clean code and unit tests.
  • You're comfortable working in an agile development team, familiar with version control and Git/GitHub.
  • Awareness/interest of data standards such as GA4GH ( https://www.ga4gh.org/) and FAIR (https://www.go-fair.org/fair-principles/).
  • You’re experienced in contributing to and navigating shared codebases within multi-person teams

Benefits

    • Competitive base salary
    • Generous Pension Scheme – We invest in your future with employer contributions of up to 12%.
    • 30 Days Holiday + Bank Holidays – Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you.
    • Enhanced Parental Leave – Supporting you during life’s biggest moments.
    • Career Growth & Development – £500 per year to spend on Learnerbly, our learning platform, plus regular appraisals and development opportunities.
    • Cycle to Work Scheme – Save 25-39% on a new bike and accessories through salary sacrifice.
    • Home & Tech Savings – Get up to 8% off on IKEA and Currys products, spreading the cost over 12 months through salary sacrifice
    • £1,000 Employee Referral Bonus – Know someone amazing? Get rewarded for bringing them on board!
    • Wellbeing Support – Access to Mental Health First Aiders, plus 24/7 online GP services and an Employee Assistance Programme for you and your family.
    • A Great Place to Work – We have a lovely Central London office in Holborn, and offer flexible and remote working arrangements.

Join us - let’s prevent disease together.

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.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.