Senior Analytics Engineer

Justice Digital; United Kingdom; Hybrid; GBP 41,000 - 52,000; Full time

Job summary

A governmental digital service is looking for a Senior Analytics Engineer to join their Data Modelling and Engineering team. This role involves creating data models, gathering requirements, and ensuring data quality. Candidates should have experience with SQL, data pipelines, and dimensional modelling. A hybrid working model and flexible options will be available.

Benefits

Flexible working options

Learning budget up to £1k

Generous civil service pension

25 days leave plus bank holidays

Wellbeing support

Bike loans and secure parking

Qualifications

• Experience using SQL to query and transform data.
• Experience working with large relational databases.
• Ability to support others in learning new technologies.

Responsibilities

• Gather requirements from users for deliverables.
• Build and maintain dimensional data models.
• Collaborate with Data Engineers on prioritization and delivery.

Skills

SQL

Testing and quality assurance

Building data and analytical pipelines

Dimensional modelling

Version control (git)

Job description

Senior Analytics Engineer

Location: National*

Closing Date: 13/08/2025

Interviews: Week commencing 1st September 2025

Grade: SEO (MoJ candidates who are on a specialist grade, will be able to retain this grade on lateral transfer)

Salary:
National: £41463 - £51675 (may include an allowance of up to £10,212)
London: £47657 - £56050 (may include an allowance of up to £8,393)

Working pattern: full-time, part-time, flexible working

Contract Type: Perm

*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
The Role

We're recruiting for a Senior Analytics Engineer here at the Ministry of Justice, 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

Thank you for taking an interest in this role! A summary of the type of work the teams are involved in can be found in our handbook.

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.
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!

Benefits

• 37 hours per week and flexible working options including working from home, working part-time, job sharing, or working compressed hours.
• 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
• Staff have 10% time to dedicate to develop & grow
• Generous civil service pension based on defined benefit scheme, with employer contributions of 28.97% from April 1st 2024 (Contribution Rates)
• 25 days leave (plus bank holidays) and 1 privilege day usually taken around the Kings' birthday. 5 additional days of leave once you have reached 5 years of service.
• 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!
• Wellbeing support including access to the Calm app.
• Nurturing professional and interpersonal networks including those for Carers & Childcare, Gender Equality, PROUD and SPIRIT
• Bike loans up to £2500 and secure bike parking (subject to availability and location)
• Season ticket loans, childcare vouchers and eye-care vouchers.
• 5 days volunteering paid leave.

• Some offices may have a subsidised onsite Gym.

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
• working with large relational databases
• testing and quality assuring data
• supporting others to learn and implement new tools and technologies

• building data and analytical pipelines
• dimensional modelling including designing and populating star schemas
• version control tools, such as git

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.

The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan and the Civil Service D&I Strategy.
How to Apply

Candidates must submit

• an anonymised CV, including career history, responsibilities, and achievements
• a cover letter which describes how you meet the requirements set out in the Person Specification above - this should be no longer than 750 words

We are recruiting using a combination of the Government Digital and Data Profession CapabilityandSuccess Profiles Frameworks. We will assess your Experience, Technical Skills and the following Behaviours during the assessment process:

• Changing and Improving
• Working Together

A diverse panel will review your application against the Person Specification above.

Successful candidates who meet the required standard will then be invited to undertake a 1-hour technical test, if you pass the technical test, you will be invited to a 1-hour panel interview (on a separate date) held via video conference.

Should we receive a high volume of applications, a pre-sift based on:
"Using SQL to query and transform data" & "dimensional modelling including designing and populating star schemas" will be conducted before the sift.

Should you be unsuccessful in the role that you have applied for but demonstrate the capability for a role at a lower level, we reserve the right to discuss this opportunity with you and offer you the position without needing a further application.

A reserve list may be held for up to 12 months, from which further appointments may be made.

Use of Artificial Intelligence

Artificial Intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance for more information on appropriate and inappropriate use.
Terms & Conditions

Please review our Terms & Conditions which set out how we recruit and provide further information related to the role and salary arrangements.

If you have any questions, please feel free to contact [e-mail]