Trac proudly powers the recruitment for
Guy's and St Thomas' NHS Foundation Trust
About
Contact
- Address
- Trust Offices
- St Thomas' Street
- London
- SE1 9RT
- Contact Number
- 020 7188 7188
Senior Data Engineer
Accepting applications until: 22-Feb-2026 23:59
Vacancy status: Open
Accepting applications until: 22-Feb-2026 23:59
Key details
Location
- Site
- London Institute for Healthcare Engineering
- Address
- 100 Lambeth Palace Rd
- Town
- London
- Postcode
- SE1 7AR
- Major / Minor Region
- London
Contract type & working pattern
- Contract
- Fixed term: 24 months (or secondment)
- Hours
- Full time - 37.5 hours per week (Hybrid)
Salary
- Salary
- £64,156 - £71,148 p.a. inclusive of HCA
- Salary period
- Yearly
- Grade
- (NHS AfC: Band 8a)
Specialty
- Main area
- Data Engineering
- Interview date
- 27/02/2026
Guy’s and St Thomas’ is among the UK’s busiest and most successful NHS foundation trusts. We provide a full range of hospital and community services for people in south London and as well as specialist care for patients from further afield including cancer, renal, orthopaedic, respiratory and cardiovascular services.
Guy’s is home to the largest dental school in Europe and a £160 million Cancer Centre opened in 2016. As part of our commitment to provide care closer to home, in 2017 we also opened a cancer centre and a kidney treatment centre at Queen Mary’s Hospital in Sidcup. St Thomas’ has one of the largest critical care units in the UK and one of the busiest emergency departments in London. It is also home to Evelina London Children’s Hospital.
Evelina London cares for local children in Lambeth and Southwark and provides specialist services across south east England including cardiac, renal and critical care services. We lead a number of specialist service networks aiming to ensure children are treated locally where possible, but have access to specialist expertise when they need it. Our community services include health visiting, school nursing and support for families of children with long-term conditions.
Our adult community services teams deliver care at the heart of the local communities we serve, working in partnership with GPs, local authorities and other healthcare and voluntary sector organisations. Working with our partners in Lambeth and Southwark, we are focusing on new ways of working to improve care for local patients.
In February 2021 the Royal Brompton and Harefield joined Guy’s and St Thomas’ NHS Foundation Trust, bringing together world-leading expertise in the care and research of heart and lung disease. Our merger provides a once in a generation opportunity to build a lasting, world-renowned heart and lung centre, providing the highest quality care for patients and conducting world-leading research.
We have a reputation for clinical excellence and high quality teaching and research. We are part of King’s Health Partners, one of eight accredited UK academic health sciences centres. In partnership with King’s College London we have dedicated clinical research facilities including an MHRA accredited Phase I clinical trials unit.
Patients are at the heart of everything we do and we pride ourselves on ensuring the best possible patient experience as well as safe, high quality care. We are proud to have one of the lowest mortality rates in the NHS. Following a comprehensive Care Quality Commission (CQC) inspection in 2019 we maintained our overall rating of ‘good’. Our adult community services achieved a rating of ‘outstanding’.
The commitment of our 23,500 staff is key to our success. We are one of the largest local employers and we aim to develop and support all our staff so they are able to deliver high quality, safe and efficient care. The 2019 NHS staff survey results show that we have one of the most engaged and motivated workforces in the NHS. We know this has a positive impact on the care provided to our patients.
We have one of the most ambitious capital investment programmes anywhere in the NHS.
Job overview
This is an exciting opportunity to join a leading health data engineering team, based at GSTT, but operating across the wider region as part of the AI Centre for Value-Based Healthcare.
We are looking for a motivated individual with excellent data engineering skills, with enthusiasm and passion to learn.
The successful applicant will use a professional tool stack (including Snowflake, SQL, dbt, Python, and Natural Language Processing/Language AI tools) for building and orchestrating data pipelines, from source systems to analyst ready marts which will be used in clinical analytics, research, population health, and to support Real-World Data functions.
The postholder will work closely with a range of key stakeholders across GSTT and other NHS Trusts (including Lewisham and Greenwich, King’s College Hospital, and others).
Essential Criteria
- Proficient in SQL for data engineering and analytics
- Experience of using dbt
- Experience of EHR data and its meaning in clinical contexts
- Experience with best development practices, CI, and tools such as git
Desirable Criteria
- Experience in Snowflake or other cloud platforms
- Proficiency in Python
- Experience of NLP / LLM usage in production settings
- Experience in data pipeline orchestration
Advert
In this role, you will be expected to develop modern data pipelines built to production standards (using Snowflake / SQL / dbt / Python) to harmonise data from highly complex transactional data, including from Cerner and Epic systems. You will be responsible for owning pipeline functions, and regularly engaging with data product end-users to update and improve functionality. Understanding of clinical data quality, best practices in testing and monitoring, and ability to build visualisation applications, are all highly desirable.
Your work will be the foundation for a wide variety of valuable use-cases, from clinical care to research, and from audit to innovation and AI projects.
You will have the opportunity to deploy Large Language Model and NLP tooling orchestration frameworks as part of standard data transformation pipelines, for extracting information from unstructured free text.
You will be supported in continuing your personal development within a friendly and highly expert team, particular in areas such as data orchestration, cloud infrastructure, and continuous integration/deployment. There will also be opportunity to mentor and supervise more junior technical staff.
Working for our organisation
The AI, Data & Digital Innovation directorate is made up of data and technology experts - based in GSTT but working closely as a team with KCH and KCL.
The team forms part of the Artificial Intelligence Centre for Value-Based Healthcare - a consortium of NHS, academic, and industry partners from across the UK. This consortium offers expert professional technical delivery across data engineering, data science & AI development, and software engineering. Programmes include region-wide infrastructure delivery of cloud and federated platforms, multi-modal Real-World Data engineering, foundation model development, and development of different Language AI solutions.
Detailed job description and main responsibilities
- Developing modern data pipelines built to production standards, that harmonises data from highly complex transactional data, including from Cerner and Epic systems
- Designing and building data products that serve frequent end-user needs across clinical analytics, research, and population health
- Develop pipelines that drive value for a wide range of end-user stakeholders, including clinicians, researchers, delivery teams, and population health analysts
- To use expertise in data modelling and health data to build deep insights into health data quality, including implementing tests and real-time monitoring, and producing impactful visualisations and reports
- Lead collaborations with multi-disciplinary teams to discover and extract data from new sources
- Co-ordinate and support local analysts to ensure alignment on projects and timelines
- Develop, deploy, and maintain Large Language Model and NLP tooling orchestration frameworks as part of standard data transformation pipelines, for extracting information from unstructured free text
- Contribute to a culture of shared learning, and support capability building around engineering and analytics within the team
- To use understanding of health data to act as subject matter expert for other teams
- Help to scale exemplar product solutions across other NHS Trusts
- Conduct stakeholder presentations and help to produce materials that support engagement across the Trust and the wider region
Guy’s and St Thomas’ celebrates, respects and values the diversity of its staff and patients. We review our policies, procedures and practices to ensure that all employees, patients and carers are treated equitable according to their needs. We are actively committed to ensuring that no one who applies for a job, works or study’s at the Trust, or accesses our services is discriminated against on the grounds of race, ethnicity, nationality, disability, religion or belief, age, gender identity , gender reassignment, sexual orientation, pregnancy and maternity/paternity, or marital/civil partnership.
Applications are welcomed from applicants with a disability. We can make reasonable adjustments and offer support and advice in a variety of ways throughout the application process. Equality of opportunity is our policy.
As an organisation we are committed to developing our services in ways that best suit the needs of our patients. This means that some staff groups will increasingly be asked to work a more flexible shift pattern so that we can offer services in the evenings or at weekends.
Flexible working
We are committed to supporting all employees to achieve a healthy work life balance and to work in a way that is best for them and our patients. We will consider all requests to work flexibly, taking in to account the individual’s personal circumstances as well the needs of the service. We encourage all prospective applicants to discuss their individual circumstances with the recruiting manager as part of the on-boarding process.
Due to recent changes in the UK immigration rules which affect Skilled Worker Visas, Global Business Mobility, Higher Skill Level and Increased Salary Thresholds, please ensure that you are able to meet the requirements to live and work in the UK before applying. Further information about eligibility is available on the UK Government website.
Your e-mail address is important to us - We communicate to all job applicants via the e-mail address which has been provided on the application form. Please ensure that you check your e-mail on a regular basis.
Please apply for this post by clicking "Apply Online Now."
Person specification
Education, Qualifications, and Training
Essential criteria
- Educated to degree level, or equivalent experience of working in a complex organisation
- Evidence of continuing professional development
Desirable criteria
- Clinical experience
- Technical degree (e.g. computer / data science)
Previous Experience
Essential criteria
- Extensive experience in technical roles involving health data engineering
- Highly developed understanding of NHS
- Extensive experience working in a delivery setting, including conducting end-user engagement
- Strong track record of effective written and spoken communication
- Extensive experience working in large complex organisations, including in a health data or health technology environment
- Knowledge and understanding of risk management and mitigation strategies in technical projects
- Knowledge of EHR systems and processes within healthcare
Desirable criteria
- Previous experience working in, or collaborating with, academia in high impact and multi-institutional settings
- Knowledge of sprint methodologies
Technical Skills
Essential criteria
- Substantial Medical/healthcare data experience
- Expert SQL proficiency
- Proficiency in dbt
- Exceptional analytical, problem-solving, and judgement skills
- Detailed understanding of reproducible code and software development / CI/CD practices
Desirable criteria
- Proficiency with Snowflake
- Proficiency with Python
- Epic / Cerner data experience
- Skills in advanced data visualisation / presentation / frontend tools
Further details / informal visits contact
- Name
- Joe Zhang
- Job title
- CTO
- Email address
- [email protected]
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