Graduate Opportunity

Graduate Software Engineer

Didcot, Oxfordshire

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The Centre for Environmental Data Analysis (CEDA), within STFC’s RAL Space Department, serves the environmental science community hosting data centres providing access to datasets ranging from computer simulations of future climate to the latest satellite-based observations of the earth. We are involved in a number of collaborative projects working with organisations, including the Met Office, European Space Agency, and NASA, developing software and systems to facilitate access to, and analysis of, environmental data. Our data and computing services are hosted on JASMIN, incorporating cloud and High Performance Computing technologies, a world-class 55 petabyte parallel processing and storage facility! Each year we support over 55 million data accesses through our download services and 4.5 million hours of computation on the JASMIN batch-compute cluster!

What soft skills will you learn?

From teamwork to communication, and from technical learning to becoming a STEM ambassador – Ben Bealing from STFC reveals the variety of skills you can learn on the company's graduate programme. To watch the full Gradcracker/STFC webinar, click here.

Researchers rely on CEDA services to investigate pressing issues such as climate change, extreme weather events, air pollution, and many other topics. Working on the STFC, Rutherford Appleton Laboratory site, you will be close to other exciting facilities with passionate staff and graduates who are happy to talk about their work. There are weekly presentations by staff across the site and guest lectures on diverse topics.

Summary of Key Duties & Responsibilities 

We now have an opportunity for Software Developers to join STFC’s award winning graduate scheme, building a state-of-the-art scientific data platform for climate, atmospheric and earth observation scientists. 

Our graduates work on developing and supporting services for the global scientific community such as:

  • Development of web applications and services for data discovery and access. e.g. cataloguing tools to enable searching and browsing of detailed scientific metadata
  • Supporting the scientific user community in the development of services for processing and analysing scientific datasets, exploiting tools and technologies for parallelisation and cluster computing.
  • Development and maintenance of the JASMIN cloud platform and systems supporting the CEDA data centres.
  • Working as part of international collaborations to architect and build software solutions to increase usage of scientific data (e.g. Earth System Grid Federation)

Using Mac OSX and Windows desktop environments, we develop for a Linux based server environment. Candidates will work developing software predominantly in the Python programming language, integrating with Python and Java web applications. For some projects, we employ Java, JavaScript, C and Bash. Software is deployed using deployment-as-code (Ansible playbooks) to traditional virtual machines or using automated deployments and GitOps with container technology (Docker) to our private cloud.

Working closely with research organisations, we are often exploring cutting edge technologies and standards and foster an exploratory environment where our staff are encouraged to find new solutions to existing problems.

We use a wide variety of tools and technologies, from web technologies to data processing tools. These are constantly changing with the needs of the community and the advancement of computing. Exposure to some of these things is helpful but not essential - full training provided. You should have a desire to learn and a willingness to try new things in an encouraging environment.

Web: Django, Nginx, Bootstrap, ReactJS.

Databases: SQL (PostgreSQL) and noSQL (Elasticsearch)

Packaging/deployment: Python Pip and virtualenv, RPM, Conda, Docker, Ansible.

Version control, CI/CD: Git, GitHub Actions, GitLab CI.

Virtualisation/cloud: OpenStack, object store technologies (S3), container orchestration technologies (Helm, Kubernetes).

Data: cf-python, Xarray, Iris, Matplotlib, NetCDF4, R, CDO, NCO, Pandas. 

In order to apply for the role you must:


  • Obtained first degree bachelors or Masters, (not doctorate) in a relevant subject in either 2020, 2021 or be due to receive it in 2022 
  • Expected or have achieved a 2:1 or above 
  • The right to live and work in the UK 
  • A degree in Computer Science or Engineering, or another scientific field with a strong mathematical component.


  • Any exposure to meteorology, climate science, Earth sciences, Earth observation or scientific computing.
  • Any amount of knowledge or experience with:
    • Robust software engineering methodologies including test- driven development, code review and continuous integration.
    • Programming in Python or Java.
    • Developing software for Linux.
    • Containerisation with, e.g. Docker.
    • Continuous Integration/Deployment and GitOps (using automated testing and deployment tools with version control).
  • You should display excellent problem solving and analytic skills, with the ability to contribute these skills to a team. You should be highly motivated to develop and maintain operational information systems focused on responding to the needs of users.

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Opportunity Overview

  • October 31st, 2021
  • £27,938 + benefits
  • 2:1 and above
  • Didcot, Oxfordshire
    (Show map)

Disciplines accepted...

  • Analytics
  • Computer Science
  • Cyber Security
  • Data Science
  • Hardware
  • IT Architecture
  • Information Technology
  • Maths
  • Robotics
  • Software
  • Statistics
  • Systems
  • Telecommunications
  • Web Development

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