At a Glance
- Tasks: Shape data foundations and create scalable data models for impactful projects.
- Company: Join Vanquis, an award-winning employer with a collaborative culture.
- Benefits: Enjoy flexible working, generous leave, and career development opportunities.
- Other info: Be part of a growing team with excellent career growth potential.
- Why this job: Make a real impact on data standards and influence future projects.
- Qualifications: Experience in data modelling and strong problem-solving skills required.
The predicted salary is between 72000 - 88000 £ per year.
Shape the data foundations powering the next chapter of Vanquis. Our data landscape is evolving at pace, and our growing Data Architecture team is creating the models and standards that will support trusted insight, reporting and operational decision-making across Vanquis. As a Data Modeller, you'll take ownership of translating complex business needs into clear, scalable logical and physical data models. You'll work hands-on across a wide range of projects, helping shape how data modelling is done and set standards that will influence what comes next. This is a growth role within a team that currently includes two permanent colleagues. You'll have the autonomy to roll up your sleeves, solve problems and make a visible contribution from the outset.
How you’ll make an impact:
- Own, maintain and improve our data modelling standards and patterns. Vanquis has consistent, reusable approaches that improve quality and speed of delivery.
- Develop and advocate Data Vault methodology, designing data warehouse and data product models. Our data foundations are scalable, clear and aligned to business and analytical needs.
- Translate business requirements into conceptual, logical and physical data models. Data Engineering teams can build solutions from accurate, practical designs.
- Model Salesforce and wider operational data, including flows, transformations and mappings. New initiatives and migrations are supported by a trusted view of how data connects.
- Work closely with architects, analysts, engineers, governance and security colleagues. Complex requirements and design decisions are understood, challenged and resolved.
- Review modelling artefacts and present designs in technical forums. Standards are maintained and stakeholders can make informed decisions with confidence.
Why this role matters: Reliable data models underpin insight, reporting and operational processes across Vanquis. Your work will help create clearer data structures, improve data quality and support consistent, secure and well-governed use of data. You'll join during a period of high-speed change, with exposure to varied projects and stakeholders. Because the team is growing, you'll have genuine scope to influence its direction, help mature the data modelling capability and establish standards that others can follow.
Our Data Architecture approach:
- Standards with purpose: We create clear patterns and guardrails that enable quality, consistency and efficient delivery.
- Hands-on ownership: We take ideas through to practical designs and work through complexity rather than passing it on.
- Collaboration by design: We bring architecture, analysis, engineering, governance and security together around shared outcomes.
- Data governance built in: Quality, privacy, security and a single version of the truth are considered from the start.
- Continuous improvement: We challenge existing approaches, learn from delivery and evolve our modelling capability.
Essential experience:
- Strong experience creating and implementing data models, patterns and standards in a complex organisation.
- Hands-on experience with Data Vault methodology and Salesforce data models.
- The ability to translate complex business requirements into clear conceptual, logical and physical data models.
- Strong knowledge of data modelling techniques, including dimensional, entity-relationship and normalisation approaches.
- Practical SQL skills and experience exploring data to inform design decisions.
- A delivery-focused mindset: comfortable taking ownership, working autonomously and getting involved in the detail.
- Clear communication and the confidence to explain and influence data design decisions with technical and non-technical stakeholders.
Useful, but not essential:
- Experience designing models for Snowflake Cloud Data Warehouse.
- Knowledge of Salesforce Data Cloud, Customer 360 or Financial Services Cloud.
- Experience with SQLDBM, Erwin or comparable data modelling tools.
- Python experience and familiarity with Azure-based data toolsets.
- Experience in regulated financial services and an understanding of GDPR or PCI DSS.
Career development: You'll have the opportunity to deepen your expertise across modern data modelling, contribute to a growing Data Architecture capability and influence the standards used across Vanquis. With exposure to multiple projects, stakeholders and technology areas, you'll be able to broaden your organisational understanding while building your profile as a trusted data design specialist.
Why Vanquis?
- Award-Winning Employer: Great Place to Work Certified • Financial Times Best Employers 2025 & 2026 • Armed Forces Friendly Employer, Bronze.
- LinkedIn Learning: Access to learning resources to support your growth and development.
- Flexible Hybrid Working: A balanced approach to office and home working.
- Two Volunteering Days: Paid time to support causes that matter to you.
- Inclusive Culture: A workplace where colleagues are supported, respected and encouraged to be themselves.
- Enhanced Family Leave: Supporting colleagues through important life moments.
- Up to 10% Pension Contribution: Helping you plan and prepare for the future.
- Paid Birthday Leave: An extra day off to celebrate you.
- 25–30 Days Annual Leave: Time away to rest, reset and recharge.
- Career Development Opportunities: Support to build skills, grow your career and shape what comes next.
Ready to shape what’s next? If you're looking for a hands-on role where you can influence data modelling standards, work across a varied change portfolio and help shape a growing capability, we'd love to hear from you.
Data Modeller in London employer: Vanquis
At Vanquis, we pride ourselves on being an award-winning employer that champions quality and innovation in technology. Our inclusive culture fosters collaboration and continuous improvement, providing employees with flexible hybrid working options, extensive career development opportunities, and a supportive environment where everyone can thrive. Join us in shaping the future of technology while enjoying benefits like enhanced family leave, generous annual leave, and dedicated volunteering days.
StudySmarter Expert Advice🤫
We think this is how you could land Data Modeller in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Vanquis!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Modeller at Vanquis.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Vanquis.
✨Apply Directly through Our Website
When you find a suitable opening like Data Modeller at Vanquis, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Modeller in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Vanquis, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Vanquis. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Vanquis
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Vanquis!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
