At a Glance
- Tasks: Design and maintain data models that drive smarter decisions and insights.
- Company: Join the Financial Ombudsman Service, a values-led organisation transforming customer service.
- Benefits: Enjoy flexible working, competitive salary, and comprehensive wellbeing support.
- Why this job: Be part of a modern, cloud-first data landscape and make a real impact.
- Qualifications: Degree in Computer Science and experience with data modelling tools required.
- Other info: Diverse, inclusive culture with excellent growth opportunities.
The predicted salary is between 47000 - 64786 £ per year.
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
Location: London Docklands, Coventry or Manchester (Hybrid)
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.
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.
- Flexibility: Work your way — hybrid or in-office.
- Wellbeing: Health plan, gym memberships, mental health support.
- Growth: We invest in your future with courses, mentorship, promotions.
- Culture: Diverse. Inclusive. Collaborative. Fun.
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 service amongst others.
- Gym membership discounts, and a fully equipped on-site gym open 24/7 in London only.
How do I apply?
Please apply with an up to date CV, ensuring you are highlighting where your experience fits the minimum criteria.
The Financial Ombudsman is an 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.
Don’t miss out, be part of the journey and take advantage of this opportunity.
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.
Data Modeller in London employer: Financial Ombudsman Services
Contact Detail:
Financial Ombudsman Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeller in London
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry events. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by practising common data modelling questions. Think about how your experience aligns with their needs, especially around cloud-based platforms and data governance.
✨Tip Number 3
Showcase your passion for data! During interviews, share examples of how you've used data to drive decisions or improve processes. Let your enthusiasm shine through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining our team!
We think you need these skills to ace Data Modeller in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Modeller role. Highlight your relevant experience and skills, especially those that match the minimum criteria like data modelling tools and SQL or Python queries.
Showcase Your Passion: Let your curiosity shine through! In your application, express why you're excited about the opportunity to work with data and how you can contribute to our transformation journey.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use straightforward language to explain your experience and how it aligns with the responsibilities of the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Financial Ombudsman Services
✨Know Your Data Modelling Tools
Familiarise yourself with data modelling tools like ER/Studio, ERwin, or dbt. Be ready to discuss your hands-on experience with these tools and how you've used them in past projects. This shows you’re not just a theoretical candidate but someone who can hit the ground running.
✨Brush Up on SQL and Python
Since you'll be expected to write SQL or Python queries, make sure you're comfortable with both. Practise writing queries that could help in data profiling and transformation processes. Being able to demonstrate your coding skills will set you apart from other candidates.
✨Understand the Business Context
Research the Financial Ombudsman Service and understand their mission and values. Think about how your role as a Data Modeller can contribute to their customer-centric approach. This will help you articulate your fit for the company during the interview.
✨Prepare to Communicate Clearly
You’ll need to explain complex data models to both technical and non-technical audiences. Practise simplifying your explanations and think of examples where you’ve successfully communicated technical concepts in an easy-to-understand way. This skill is crucial for collaboration within the team.