Data Modeller

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 our Data Modeller, you will translate complex business needs into clear, scalable logical and physical data models. You will work hands‑on across a wide range of projects, helping to develop our Data Vault approach, 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. Reporting to the Lead Data Architect, you will 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.

Our Data Architecture approach

• We believe in
• What that means
• 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

• Hands‑on experience with Data Vault methodology and Salesforce data models. If your experience is stronger in another area, we are also interested in substantial data warehouse and database design expertise.
• The ability to translate complex business requirements into clear conceptual, logical and physical data models.
• Strong knowledge of dimensional, entity‑relationship and normalisation techniques.
• Practical SQL skills and experience exploring data to inform design decisions.
• A delivery‑focused mindset, with the confidence to take ownership, work autonomously and get involved in the detail.
• Clear communication and the ability 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.