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

Apply Now

Senior Data Engineer - (Genetics) Maternity Cover - 12 months FTC

Our Future Health
London
2 months ago
Create job alert

Social network you want to login/join with:

Senior Data Engineer - (Genetics) Maternity Cover - 12 months FTC, London

col-narrow-left

Client:

Our Future Health

Location:

London, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Reference:

79445bc64589

Job Views:

7

Posted:

18.07.2025

Expiry Date:

01.09.2025

col-wide

Job Description:

We're hiring a Senior Data Engineer (Genetics) to join us on 12 months FTC to support Maternity Cover. This role will be working within our Bioinformatics Team working on genetic data and building pipelines to process, control and create data releasees for Researchers.

Our Future Health is the UK’s largest ever health research programme, bringing people together to develop new ways to detect, prevent and treat diseases. We are a charity, supported by the UK Government, in partnership with charities and industry. We work closely with the NHS and with public authorities across all nations and regions of the UK.

Our plan is to bring together 5 million volunteers from right across the UK who will be asked to contribute information to help build one of the most detailed pictures we have ever had of people’s health. Researchers will be able to use this information to make new discoveries about human health and diseases. So future generations can live in good health for longer.

What You'll Be Doing:

  • Support the build of production-level data pipelines from data providers to our primary data store and Trusted Research Environment. Work closely with the Lead Data Engineer on key designs and features.
  • Build and maintain pipelines which meets the requirements for our end users and builds well curated, accessible and quality controlled data for analysis.
  • Keep abreast of best practice in data engineering across industry, research and Government and facilitating the adoption of standards. Work to promote the adoption of best practises across the squad (unit testing, CI/CD).
  • Work with our Science team and Product to understand the data requirements and work with them to deliver the data needed for their projects.

Requirements

To be successful in this role you will need to have experience of some of the following:

  • Experience working in an agile development team.
  • Comfortable building and maintaining robust, scalable and efficient data pipelines that run in the cloud. Capable of processing very large amounts of data being received daily based on feeds from multiple systems using a range of different technologies.
  • Can listen to the needs of technical and business stakeholders and interpret them, and effectively manage stakeholder expectations. Can write ODPs/RFCs equivalent and drive discussions within the squad and help the Lead Data Engineer supervise/drive specific initiatives of work.
  • Strong experience working with genetic data (ideally genotype and imputation data). Detailed understanding of common bioinformatics file formats (VCF, BAM/CRAM, GTC, FastQ etc) and accompanying tools (bcftools, PLINK, QCtools etc)
  • Experience in validating and QC'ing complex genomic datasets.
  • Highly proficient in Python with solid command line knowledge and Unix skills.
  • Highly proficient working with cloud environments (ideally Azure), distributed computing and optimising workflows and pipelines.
  • Experience working with common data transformation and storage formats, e.g. Apache Parquet, Delta tables.
  • Strong experience working with containerisation (e.g. Docker) and deployment (e.g. Kubernetes).
  • Experience with Spark, Databricks, data lakes.
  • Highly proficient in working with version control and Git/GitHub.
  • Awareness of data standards such as GA4GH ( https://www.ga4gh.org/) and FAIR (https://www.go-fair.org/fair-principles/)
  • Competitive salary starting from £74,000
  • 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.

We advise not delaying your application, as this advert may close early if a high number of applications are received.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

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.

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.

Top 10 Skills in Data Science According to LinkedIn & Indeed Job Postings

Data science isn’t just a buzzword — it’s the engine powering innovation in sectors across the UK, from finance and healthcare to retail and public policy. As organisations strive to turn data into insight and action, the need for well-rounded data scientists is surging. But what precise skills are employers demanding right now? Drawing on trends seen in LinkedIn and Indeed job ads, this article reveals the Top 10 data science skills sought by UK employers in 2025. You’ll get guidance on showcasing these in your CV, acing interviews, and building proof of your capabilities.

The Future of Data Science Jobs: Careers That Don’t Exist Yet

Data science has rapidly evolved into one of the most important disciplines of the 21st century. Once a niche field combining elements of statistics and computer science, it is now at the heart of decision-making across industries. Businesses, governments, and charities rely on data scientists to uncover insights, forecast trends, and build predictive models that shape strategy. In the UK, data science has become central to economic growth. From the NHS using data to improve patient outcomes to financial institutions modelling risk, the applications are endless. The UK’s thriving tech hubs in London, Cambridge, and Manchester are creating high demand for data talent, with salaries often outpacing other technology roles. Yet despite its current importance, data science is still in its infancy. Advances in artificial intelligence, quantum computing, automation, and ethics will transform what data scientists do. Many of the most vital data science jobs of the next two decades don’t exist yet. This article explores why new careers are emerging, the roles likely to appear, how current jobs will evolve, why the UK is well positioned, and how professionals can prepare now.