Data Engineer

Vanquis is strengthening how it uses data to improve customer outcomes, insight and competitive advantage. This is an opportunity to help shape a modern, cloud-first data platform at a point when scalable, trustworthy data matters more than ever. As a Data Engineer, you will transform raw information into dependable data products, joining cloud and on-premise sources and making data easier to find, understand and use. Your work will reduce manual effort, improve analyst productivity and support a clearer single source of truth across the business. You will have meaningful ownership without people-management responsibility, working alongside senior data engineering leadership, architects, platform specialists and business partners. It is a hands-on role with the visibility to influence how data engineering standards and practices evolve. There’s More to the Story This role is part of a wider Technology & Change journey. Explore our Technology & Change careers page to meet the teams, discover our technology journey and see how you can help shape what’s next. How you’ll make an impact You’ll… So that… Turn complex raw data into trusted, usable datasets Colleagues can make better-informed decisions using consistent, accessible information. Build scalable pipelines for batch and near real-time processing Data moves reliably across the organisation as demand and complexity grow. Connect cloud and on-premise sources to the right data products Teams gain a clearer, joined-up view without avoidable manual work. Strengthen metadata, lineage and data dictionary practices Data remains searchable, traceable and easier to evidence in a regulated environment. Design for performance, testing, automation and secure delivery Solutions are dependable, maintainable and ready to support critical business needs. Shape data marts with engineering, architecture and business partners Analysts spend less time preparing data and more time creating insight. Explore better tools and challenge established approaches Delivery becomes faster and the platform continues to evolve. Share knowledge and document solutions clearly The team builds capability and can support what it delivers with confidence. Why this role matters Vanquis needs to make better use of its data assets while maintaining the integrity, traceability and controls expected in a regulated organisation. This role helps establish the strong data platform needed to provision information across the organisation, supporting customer outcomes, business insight and future innovation. You will work closely with the Senior Data Engineering Lead, Principal and Lead Data Engineers, the Data Architect, Data Platform and Data Integration teams, as well as Project Managers, Business Analysts, managers and business stakeholders. That breadth gives you a direct view of how well-engineered data improves decisions and day-to-day productivity. Our Data Engineering approach We believe in What that means Trusted data We engineer for quality, lineage and a shared understanding of information. Cloud-first thinking We use modern cloud architecture to create scalable, maintainable data solutions. Shared ownership Engineers, architects, project teams and business partners solve problems together. Secure and controlled delivery GDPR, PCI, risk and good control practices are considered from the outset. Continuous improvement We question existing approaches and adopt tools that improve time to market. Learning together We document well, share experience and help the wider engineering community grow. Technology stack Data platforms & processing Engineering & delivery Azure Data Factory * Databricks * Spark * Azure Blob Storage * Azure Data Lake Agile * DevOps * CI/CD * test automation NiFi * Hive * Kafka * HBase Metadata-driven pipelines * data modelling * data marts Batch and near real-time processing Performance tuning * troubleshooting * secure development Cloud and on-premise integration Data lineage * data dictionaries * handover documentation, You will deepen your experience across modern Azure data engineering, scalable processing patterns, governance and secure delivery. The role also offers exposure to senior engineers, architecture, platform teams and business stakeholders, with opportunities to influence standards, lead improvements and build towards senior engineering, specialist or future leadership pathways. Why Vanquis? Benefits & Culture Learning & Wellbeing 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 want to build data products that improve decisions, reduce operational effort and help shape a modern cloud-first platform, we’d love to hear from you. The Next Chapter Starts With You. Recruitment agency information Our Talent Acquisition team manages all recruitment activity directly. We work with approved recruitment partners where additional support is required. Unsolicited CVs submitted without prior agreement from Vanquis Talent Acquisition will be considered direct applications and no agency fees will be payable.

• End-to-end experience designing and delivering data engineering or analytics solutions in cloud environments, ideally Azure.
• Hands-on experience building high-performing, scalable pipelines for structured and semi-structured data.
• Experience with batch and near real-time processing across multiple sources and targets.
• Practical capability with Azure Data Factory and Databricks or Spark, plus Azure Blob Storage or Azure Data Lake.
• Understanding of data modelling, data marts, metadata-driven development, data dictionaries and lineage.
• Experience delivering through Agile and DevOps practices, including CI/CD, testing and automation.
• Ability to troubleshoot and tune performance while maintaining secure development awareness.
• Confident collaboration with engineers, architects, project teams, analysts and business stakeholders.
• Clear documentation, communication and constructive issue escalation.
• A curious, improvement-focused approach that balances innovation with regulatory and control requirements.

Useful, but not essential

• Experience with NiFi, Hive, Kafka or HBase.
• Experience integrating data across both on-premise and cloud environments.
• Knowledge of data governance in a regulated organisation.
• Awareness of GDPR and PCI considerations in data processing.