19453 - Senior Analytics Engineer (National)
| Company: | Ministry of Justice |
|---|---|
| Salary: | £42,914 - £53,081 |
| Hours: | Full-time |
| Location: | Newport, NP10 8FZ |
| Working pattern: | Hybrid - 3 days remote |
| Job type: | Permanent |
| Posting date: | 3 Jul 2026 |
| Closing date: | 2 Aug 2026 |
Summary
Senior Analytics Engineer
Location: National
Closing Date: 10/08/2026
Interviews: Rolling – from w/c 13th July – w/c 31st Aug
Grade: SEO
(MoJ candidates who are on a specialist grade, will be able to retain this grade on lateral transfer)
Salary: National: £42,914 - £46,182 (may include an allowance of up to £9,424) London: £49,325 - £53,081 (may include an allowance of up to £7,440)
Working pattern: full-time, part-time, flexible working
Contract Type: Permanent
Vacancy number: 19453
*We offer a hybrid working model, allowing for a balance between remote work and time spent in your local office. Office locations can be found ON THIS MAP
Please note that unless you are an existing member of staff at Justice Digital, Data and Science, the only London location being recruited to is 10 South Colonnade, E14 4PU. We are no longer recruiting to 102 Petty France, SW1H 9AJ.
The Role
Please note this role requires you to pass Security Check clearance. Please click on the link for details.
We’re recruiting for a Senior Analytics Engineer here at Justice Digital, Data and Science, to be part of our warm and collaborative Data Modelling and Engineering team.
This role aligns against Senior Analytics Engineer from the Government Digital and Data Framework
This is a great opportunity to work with leading cloud technology and help change the way data is used in the public sector. Analytics engineers at MoJ play a critical role in our mission to put data at the heart of decision-making. We're looking for people with the drive to develop a deep understanding of data needs and data availability across specific areas of the Ministry of Justice. You will work in a team of Analytics Engineers, alongside Data Engineers, to bridge the gap between data producers and data users, developing analytical pipelines and self-service tools to acquire and transform data, making it available on our Analytical Platform
You’ll receive a range of excellent benefits when you join our department, including:
A generous employer pension contribution of 28.97% through the Civil Service Pension Scheme.
25 days of annual leave, (increasing to 30 days once you have reached 5 years of service), plus 8 bank holidays and a privilege day for the King’s birthday.
Flexible working arrangements including hybrid working, working part time or compressed hours. Designed to support a positive work–life balance.
Employees are allocated 10% of their working time for personal and professional development.
A £1k per person learning budget is in place to support all our people, with access to best-in-class conferences and seminars, accreditation with professional bodies, fully funded vocational programmes and e-learning platforms.
Compassionate maternity, adoption, and shared parental leave policies, with up to 26 weeks leave at full pay, 13 weeks with partial pay, and 13 weeks further leave. And maternity support/paternity leave at full pay for 2 weeks, too!
You can find more details of the Benefits we offer here. To help picture your life at MoJ Justice Digital, Data and Science please take a look at our blog.
Key Responsibilities:
As a Senior Analytics Engineer, you will:
Gather requirements from users and translate these into clear deliverables for the Data Engineering and Modelling teams.
Build, test and maintain dimensional data models that enable analysis and reporting, ensuring data dimensions are conformed where possible.
Collaborate with Data Engineers and Data Platform colleagues to prioritise, plan, and deliver solutions that enable better decision making.
Lead on ensuring the completeness, accuracy, and quality of data pipelines and models.
Develop and maintain metadata, documentation, and self-service tools to support data discovery and intelligent use.
Highlight data quality or governance issues and work collaboratively to drive improvements.
Act as a key point of contact for analytical user communities, promoting automation, efficiency and adoption of tools such as dbt and Airflow.
Support others across the organisation to learn, adopt and implement new tools and technologies.
Help to build and foster a culture of continuous learning and technical excellence within the data community.
If this feels like an exciting challenge, something you are enthusiastic about, and want to join our team please read on and apply!
Person Specification
The listed requirements are important for the job, however we do not expect candidates to be an expert in all of them. Please provide as much evidence as you can and make sure you cover ‘how’ you demonstrated the requirements and the impact of your work, as well as ‘what’ you did
Essential
We are looking for people with experience in the following:
Using SQL to query and transform data
Dimensional modelling including designing and populating star schemas
Working with large relational databases
Testing and quality assuring data
Building data and analytical pipelines
Willingness to be assessed against the requirements for SC clearance
We welcome the unique contribution diverse applicants bring and do not discriminate based on culture, ethnicity, race, nationality or national origin, age, sex, gender identity or expression, religion or belief, disability status, sexual orientation, educational or social background or any other factor.
Our values are Purpose, Humanity Openness and Together. Find out more here about how we celebrate diversity and an inclusive culture in our workplace.
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