Lecturer in Data Engineering
| Posting date: | 23 February 2026 |
|---|---|
| Salary: | £38,784 to £46,049 per year |
| Hours: | Full time |
| Closing date: | 15 March 2026 |
| Location: | Bristol, South West England |
| Remote working: | On-site only |
| Company: | University West of England |
| Job type: | Permanent |
| Job reference: | R08972 |
Summary
UWE Bristol’s School of Computing and Creative Technologies is rapidly expanding, with around 130 academic staff and over 2,500 undergraduate and postgraduate students. Our state-of-the-art programmes cover a wide range of computing disciplines, and we also support a growing and successful body of research.
We currently offer an MSc in Data Science, delivered both on campus and online, together with a BSc in Data Science and a BSc Data Science and Artificial Intelligence top-up degree. We also have active PhD students in this area.
Ideally, you’ll have substantial professional/industry experience or a PhD in Data Science, Computer Science, or closely related disciplines with industry-relevant research data skills and/or ongoing industry collaboration. Knowledge and expertise in one or more areas relevant to data engineering science is essential, including but not limited to:
Cloud-based data engineering, including in-depth experience with providers such as AWS or Azure, and CI/CD pipelines for model deployment.
Modern data infrastructure for AI, such as graph and vector databases and other emerging solutions designed to support machine learning workflows.
Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) systems applied in some specialised domain, ideally with experience of local model training and deployment
The primary focus of this role will be teaching and the development of teaching practice within the field, and the expectation will be for you to support teaching on our programmes, although you will be encouraged and supported in your research ambitions.
In this role, you’ll be based at our modern Frenchay Campus where we’ve invested in state-of-the-art facilities designed to help both staff and students succeed.
You’ll spend most of your time on campus, although you may have the opportunity to work from home occasionally.
We offer a wide range of employee benefits including progressive pay rates, very generous annual leave and career average pension schemes as well as retail savings, onsite nursery and opportunities for training and personal development.
We also provide a tailored professional programme to support our academic colleagues in delivering the highest in professional teaching standards.
We particularly encourage applications from global majority and female candidates as we are currently under-represented in this area, however all appointments are made strictly on individual merit.
As a Disability Confident employer we welcome applications from those who identify as having a disability.
Further information
If you would like to speak to us to find out more about this role please contact Rachel2.Long@uwe.ac.uk or Kevin.Golden@uwe.ac.uk.
This is a full-time, permanent post.
This post is available on a job share basis for applicants wishing to work part time.
Salary offers are made in line with the University’s salary assessment guidelines, reflecting your relevant skills and experience in parity with colleagues.
Right to Work in the UK
If offered a role, you will need to provide valid documentation confirming your right to work in the UK before employment begins. Guidance on acceptable documents is available via the Home Office Right to Work Checklist.
We may be able to sponsor eligible candidates for this role under the Skilled Worker visa route; however, visa sponsorship eligibility is assessed only at offer stage, being invited to interview does not indicate an offer of sponsorship.
Please review our Skilled Worker Guidance and UK Government website to assess your eligibility. If you do not qualify you may wish to explore other visa options.
Please note that UWE Bristol does not cover any visa or health surcharge costs.
We currently offer an MSc in Data Science, delivered both on campus and online, together with a BSc in Data Science and a BSc Data Science and Artificial Intelligence top-up degree. We also have active PhD students in this area.
Ideally, you’ll have substantial professional/industry experience or a PhD in Data Science, Computer Science, or closely related disciplines with industry-relevant research data skills and/or ongoing industry collaboration. Knowledge and expertise in one or more areas relevant to data engineering science is essential, including but not limited to:
Cloud-based data engineering, including in-depth experience with providers such as AWS or Azure, and CI/CD pipelines for model deployment.
Modern data infrastructure for AI, such as graph and vector databases and other emerging solutions designed to support machine learning workflows.
Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) systems applied in some specialised domain, ideally with experience of local model training and deployment
The primary focus of this role will be teaching and the development of teaching practice within the field, and the expectation will be for you to support teaching on our programmes, although you will be encouraged and supported in your research ambitions.
In this role, you’ll be based at our modern Frenchay Campus where we’ve invested in state-of-the-art facilities designed to help both staff and students succeed.
You’ll spend most of your time on campus, although you may have the opportunity to work from home occasionally.
We offer a wide range of employee benefits including progressive pay rates, very generous annual leave and career average pension schemes as well as retail savings, onsite nursery and opportunities for training and personal development.
We also provide a tailored professional programme to support our academic colleagues in delivering the highest in professional teaching standards.
We particularly encourage applications from global majority and female candidates as we are currently under-represented in this area, however all appointments are made strictly on individual merit.
As a Disability Confident employer we welcome applications from those who identify as having a disability.
Further information
If you would like to speak to us to find out more about this role please contact Rachel2.Long@uwe.ac.uk or Kevin.Golden@uwe.ac.uk.
This is a full-time, permanent post.
This post is available on a job share basis for applicants wishing to work part time.
Salary offers are made in line with the University’s salary assessment guidelines, reflecting your relevant skills and experience in parity with colleagues.
Right to Work in the UK
If offered a role, you will need to provide valid documentation confirming your right to work in the UK before employment begins. Guidance on acceptable documents is available via the Home Office Right to Work Checklist.
We may be able to sponsor eligible candidates for this role under the Skilled Worker visa route; however, visa sponsorship eligibility is assessed only at offer stage, being invited to interview does not indicate an offer of sponsorship.
Please review our Skilled Worker Guidance and UK Government website to assess your eligibility. If you do not qualify you may wish to explore other visa options.
Please note that UWE Bristol does not cover any visa or health surcharge costs.
Proud member of the Disability Confident employer scheme
Disability Confident
About Disability Confident
A Disability Confident employer will generally offer an interview to any applicant that declares they have a disability and meets the minimum criteria for the job as defined by the employer. It is important to note that in certain recruitment situations such as high-volume, seasonal and high-peak times, the employer may wish to limit the overall numbers of interviews offered to both disabled people and non-disabled people. For more details please go to Disability Confident.