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

Apply Now

Senior Data Engineer

Anthony Nolan
City of London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineering Consultant

Senior Data Engineer

Senior Data Engineer

Join to apply for the Senior Data Engineer role at Anthony Nolan


We’re Anthony Nolan. We’re here to uncover the answers inside us. Answers for people with blood cancer and blood disorders. Answers that will not only improve lives today but save them tomorrow.


By uniting people and science, we’re growing our world‑leading stem‑cell register, so everyone who needs a transplant can find their lifesaving match. We’re currently giving four people a day another chance to live.


Driven by patients, backed by stem‑cell donors, and powered by science, we won’t stop until we’ve unlocked the cures, treatments and transplants that will transform the future for more patients. And together, we can reach the remarkable day where every patient who needs us can not only survive, but thrive.


If you’re inspired by this vision, and feel you have the skills and experience we need to help achieve it, we’d love you to join our lifesaving team.


We are looking for a Senior Data Engineer to join our Data Engineering team within our Technology division.


Position Details

  • Title: Senior Data Engineer
  • Salary: £51,500 per annum
  • Contract: Permanent
  • Hours: 35 per week (standard Anthony Nolan working hours)
  • Location: Hybrid, with head office in Hampstead, London

Key Responsibilities & Experience

  • 4+ years’ data engineering experience
  • Demonstrable expertise in SQL, Python and preferably Databricks pipeline development
  • Strong knowledge of software development life cycles and experience of establishing, enhancing and owning DevOps practices and methods
  • A passion for continuous improvement
  • Ability to communicate complexity in plain English and understand your audience

What’s in it for you?

  • A competitive salary
  • 27 days annual leave, pension scheme, childcare vouchers, access to counselling via a 24‑hour Employee Assistance Programme
  • A stimulating work environment full of opportunities to learn and develop
  • Life Assurance of four times annual salary
  • Travel season ticket loan, Cycle to work Scheme
  • And more! (further details on our Life at Anthony Nolan page)

We will likely operate a rolling interview process. We encourage you to apply as soon as possible – this advert may close early if we receive a high volume of strong applications.


All applicants must be able to demonstrate the right to work in the UK.


#J-18808-Ljbffr

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.

Jobs

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Jobs

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.

Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.