| Location: | London, Hybrid |
|---|---|
| Salary: | Not Specified |
| Hours: | Full Time |
| Contract Type: | Permanent |
| Placed On: | 21st August 2026 |
|---|---|
| Closes: | 7th September 2026 |
| Job Ref: | B01-05260 |
About us
UCL is a world-leading teaching and research university, often ranked in the top ten in the world with an annual turnover of well over £1 billion. Part of UCL’s vision is to take on the hardest global challenges.
The Information Services Division (ISD) is the primary provider of IT services to UCL. We support and enhance learning, teaching, research and administrative processes by providing information- and technology-related services to over 50,000 staff and students of UCL and associated institutions.
About the role
You will be required to provide advanced technical leadership for architecting, building and scaling UCL’s enterprise data platform. This includes modern data engineering, cloud data lakehouse development, distributed compute, data modelling, metadata/lineage services, self-service analytics enablement, and AI-driven data automation.
About you
To be considered for this exciting and challenging role, the candidate will be required to have strong mix of the following technical skills and experience:
What we offer
As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below:
https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more.
Our commitment to Equality, Diversity and Inclusion
As London’s Global University, we know diversity fosters creativity and innovation, and we wantour community to represent the diversity of the world’s talent. We arecommitted to equality of opportunity, to being fair and inclusive, and to beinga place where we all belong.
We therefore particularly encourage applications from candidates who are likely to beunderrepresented in UCL’s workforce. These include peoplefrom Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+people, and for our Grade 9 and 10 roles, women
Customer advert reference: B01-05260
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