At a Glance
- Tasks: Build and run data pipelines while learning essential data engineering skills.
- Company: Join NHS England, a leader in health and social care data services.
- Benefits: Flexible working options, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a strong commitment to NHS values.
- Why this job: Make a real difference in healthcare by improving data services for patients and communities.
- Qualifications: Relevant degree or apprenticeship with basic programming knowledge in Python and SQL.
The predicted salary is between 32073 - 39043 £ per year.
NHS England leads the NHS to deliver high quality care for all. We support NHS organisations to deliver better outcomes for our patients and communities, work to get the best possible value for taxpayers, and drive improvement across the NHS.
The Data Services division of Data and Analytics sub directorate's vision is to be the leading data services provider for health and social care across England through creating innovative and high-quality data products and services that give our customers the knowledge and capabilities required to deliver the best outcomes for citizens.
The Data Engineering team work with a number of key delivery programmes including but not limited to:
- Federated Data Platform and Common Data Platform projects
- Curation of national data sets for onward use (e.g. Hospital Episode Statistics, Community and Mental Health, Vaccines, Prescriptions)
- NHS Workforce Data
- Get it right first time (GIRFT) a national programme designed to improve the treatment and care of patients
- Supporting the Tech and Data Integration team to define common data models, and ensure appropriate reference and master data management
This is an exciting opportunity to join one of the Data Engineering squads and work closely with colleagues from other professions in multi-disciplinary teams, using agile methodologies.
Main duties of the job:
- Contribute to delivery of the Data Engineering Service under guidance and build foundational skills in data engineering tools, practices, and platforms.
- Assist in building and running data pipelines and products.
- Perform data validation and quality checks.
- Support debugging and issue resolution.
- Document processes and workflows.
- Learn tools, platforms, and standards.
About us:
NHS England has a wide range of statutory functions, responsibilities and regulatory powers. These are focused on supporting the wider NHS to deliver high quality care, as well as doing those things that are best done once for the whole NHS.
Our staff bring expertise across clinical, operational, commissioning, technology, data science, cyber security, software engineering, education, and commercial specialisms -- enabling us to design and deliver high-quality NHS services.
In March 2025, the Government announced that NHS England and the Department of Health and Social Care will increasingly merge functions, ultimately leading to NHS England being fully integrated into the department.
If you currently work within the NHS and if successful at interview, we will initiate an Inter Authority Transfer (IAT) via the Electronic Staff Record (ESR). This retrieves key data from your current or previous NHS employer to support onboarding, including competency status, Continuous Service Dates (CSD), and annual leave entitlement. You may opt out at any stage of the process.
Colleagues with a contractual office base are expected to spend, on average, at least 40% of their time working in our offices.
Staff recruited from outside the NHS will usually be appointed at the bottom of the pay band. We cannot offer visa sponsorship for any vacancies.
Details:
- Date posted: 24 July 2026
- Pay scheme: Agenda for change
- Band: Band 5
- Salary: £32,073 to £39,043 a year
- Contract: Permanent
- Working pattern: Full-time, Part-time, Job share, Flexible working
- Reference number: 990-TDD-D&A-E
- Job locations: Leeds/London, 7-8 Wellington Place, Leeds or 10 South Colonnade London, Leeds/London, LS1 4AP, United Kingdom
Job responsibilities:
Please refer to the attached job description for additional information regarding the job description and main responsibilities.
Person Specification:
- Qualifications: Relevant degree / apprenticeship or equivalent foundational experience.
- Knowledge: Basic programming awareness - Python, SQL, PySpark. Understanding of data concepts (datasets, structures, basic pipelines).
- Skills & Experience: Works under close supervision. Follows defined processes and standards. Demonstrates problem-solving mindset. Strong willingness to learn and adapt.
- Values: Enthusiastic, collaborative, and open to feedback. Demonstrates commitment to NHS values.
This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.
Employer details:
Employer name: NHS England
Address: Leeds/London, 7-8 Wellington Place, Leeds or 10 South Colonnade London, Leeds/London, LS1 4AP, United Kingdom
Junior Data Engineer in London employer: National health service
NHS England is an exceptional employer, dedicated to delivering high-quality care and fostering a collaborative work culture that values innovation and professional growth. As a Junior Data Engineer, you will have the opportunity to work in a dynamic environment in either Leeds or London, contributing to impactful projects that enhance health and social care services while benefiting from flexible working arrangements and a commitment to continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Engineer in London
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We think you need these skills to ace Junior Data Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at National health service
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
