Data Modeller

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Data is at the heart of our transformation—and we need your expertise to make it count. As a Data Modeller, you’ll play a pivotal role in designing the models that power smarter decisions, better insights, and a more customer‑focused service. Join us at an exciting time: we’re building a modern, cloud‑first data landscape and redefining how data drives impact. If you’re driven by curiosity and motivated to make a difference, and want to grow in a collaborative, values‑led environment, this is your opportunity.

Contract: Permanent

Working Hours: Full-time, 35 hours per week

Salary: £53,300 – £64,786 London and £47,000 – £57,129 Coventry/Manchester (Salary offered is dependent experience)

Report to: Data Engineering Manager

Location: London Docklands, Coventry or Manchester (Hybrid). Our permanent hybrid policy sees us all working at least four days across a fortnight in the office.

The Financial Ombudsman Service has been resolving customer complaints since 2001. Our service is free for consumers to use and over 1 million people contact us every year.

The last few years have seen the Financial Ombudsman Service embark on an organisation‑wide transformation journey. With the customer at the heart of everything we do, we have already delivered significant improvements in the service we offer and 2025 will see us continue with our ambitious transformation agenda.

This year, we created our new Chief Data Office as part of redefining our data strategy across the organisation. With data playing an increasingly vital role in our transformation journey, the CDO is shaping a modern, cloud‑first data landscape that supports innovation, enhances decision‑making, and strengthens our customer‑centric approach. It’s an exciting time to be part of the Data team at the Financial Ombudsman Service.

Key Responsibilities

• Designing and maintaining conceptual, logical, and physical data models.
• Ensuring data models support operations, business intelligence and analytics use cases.
• Implementing and maintaining metadata and data dictionaries.
• Reviewing and optimising existing data models for performance and scalability.
• Ensuring data models align with data governance and security standards.
• Documenting data structures, relationships, and business rules.
• Supporting data integration and transformation processes.
• Communicating modelling decisions and rationale to technical and non‑technical audiences.
• Identifying opportunities to improve data modelling practices and standards.

To be considered for this role, you’ll need to show us that you’ve got the skills and capabilities. You’ll have to meet the following minimum criteria:

• Ideally you will have a degree in Computer Science with some hands‑on experience in a data modelling role.
• Some experience in using data modelling tools such as ER/Studio, ERwin, dbt, or similar.
• Ability to write SQL or Python queries and understanding data profiling techniques & cloud‑based data platforms, Azure Synapse.

Why you\’ll love working with us

We are a values led organisation. Our values define our culture, influence our decisions, and underpin our vision and strategy. They set out how we play our PART through Purpose, Ambition, Respect and Trust. You can learn more about our values here:

• Flexibility: Work your way — hybrid or in‑office
• Growth: We invest in your future with [courses, mentorship, promotions]

We also offer an attractive, competitive salary and flexible benefits to suit our people. Here’s a list of some of the many benefits and perks you can get for working with us:

• 25 days holiday entitlement, with the option to buy extra or sell days
• Various Family Friendly Policies, including enhanced maternity pay, carers and dependants leave
• Employer provided benefits such as Private medical insurance, virtual GP, Critical illness cover, Life assurance cover, to name a few
• Choice of voluntary benefits including Technology scheme, Cycle to work scheme, Will‑writing service amongst others
• Gym membership discounts, and a fully equipped on‑site gym open 24/7 in London only
• Please apply with an up to date CV, ensuring you are highlighting where your experience fits the minimum criteria

A full job profile is available on request and will be provided to candidates shortlisted.

Equal Opportunity Employer

We celebrate diversity and are committed to creating an inclusive environment for all our team. We view diversity as fundamental to our success and welcome applications from underrepresented groups across all communities. Please click on the link below to find out more

Don’t miss out, be part of the journey and take advantage of this opportunity.

Authenticity of applications

To ensure a good candidate experience we do not use AI tools for our screening process. As such we value authentic personal applications.

We wish you the best of luck with your application

Birmingham, Blackpool, Leeds, Manchester Newcastle-upon-Tyne or Sheffield

Department for Science, Innovation & Technology