Data Modeller
# Data Modeller **Vanquis Bank** · Bradford · `On-site` 🕒 **Статус:** *Опубликовано: вчера* · *Источник: Indeed* --- ### About the Role THE NEXT CHAPTER STARTS WITH YOU Data Modeller Level: 11 Work Pattern: As a team, we work hybrid – attending the office 1-3 days a week to collaborate and stay connected Closing Date: 1st October Please note: In line with our Recruitment & Selection Procedure, the hiring team may close this vacancy early. If you're interested, we recommend applying as soon as possible. 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: You’ll… So that… 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 will join during a period of high-speed change, with exposure to varied projects and stakeholders. Because the team is growing, you will have genuine scope to influence its direction, help mature the data modelling capability and establish standards that others can follow. 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 - 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. 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. The Interview Process Our recruitment process typically includes: - A competency interview, up to 45 minutes with the hiring team - A technical interview, up to 45 minutes with the hiring team Your Key Contacts Talent Acquisition Operations Manager: Samantha Mackay Hiring Manager: Luke Vincent Internal candidates are encouraged to reach out informally before applying. A conversation with the Hiring Manager or Talent Acquisition team can help you understand the role, expectations and development opportunity. A Few Things to Remember - Please apply even if you don’t tick every box – curiosity, learning mindset and transferable skills matter. - Your current flexibility matters. We aim to match your existing working arrangements where possible, so concerns about losing flexibility shouldn’t hold you back. - Remember to discuss your application with your line manager before applying. - Include an up-to-date CV – this helps us understand your experience and achievements. - If you need any adjustments or support to apply or interview at your best, contact careers@vanquis.com and we’ll be happy to help. The Next Chapter Starts With You. #YourVanquis. The Bank that's got your back. For our customers. For our colleagues. For what comes next. Build your future. Shape ours.
Наблюдалась 2026-09-29, впервые 2026-09-28, источник — Indeed.