Data Modeller

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Are you passionate about shaping how data drives decision-making? Join us at a pivotal moment in our transformation journey, where your expertise in data modelling will help build a modern, cloud‑first data landscape. As part of our newly formed Chief Data Office, you’ll play a key role in designing solutions that support innovation, improve operational efficiency, and put our customers at the heart of everything we do.

Contract
:
Permanent

Working Hours
:
Full-time, 35 hours per week

Salary: £53,300 - £64,786 London and £47,000 - £57,129 (Outside of London). All salaries are offered dependent on level of experience.

Report to: Data Engineering Manager

Location: London Docklands or Coventry or Manchester (Hybrid).

Our permanent hybrid policy sees us all working at least four days across a fortnight in the office.

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.

• Designing and maintaining conceptual, logical, and physical data models.
• Ensuring data models support operations, business intelligence and analytics use cases.
• Collaborating with the Enterprise Architect, data engineers, analysts, and business stakeholders to gather and translate data requirements
• 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.
• Mentoring junior data modellers and supporting their development.
• 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:

• Experience in large‑scale data warehouse/Lakehouse implementations transitioning from SQL Server‑based data warehouses or similar complex projects.
• Strong ETL pipeline design and implementation skills.
• Documenting, designing and aiding in the implementation of data models for data warehouses and analytics platforms.
• Using data modelling tools such as ER/Studio, ERwin, dbt, or similar.
• Writing SQL or Python queries and understanding data profiling techniques
• Experience of working with Cloud‑based data platforms, i.e. Azure Synapse.

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: https://

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
• Generous pension
• 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…