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Vanquis is strengthening how it uses data to improve customer outcomes and competitive advantage. 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.
You'll work hands-on with senior engineers to shape data platforms, standards and practices, while contributing to a secure, observable and well-governed data environment.
Build trusted data products that turn complexity into confident decisions.
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.
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.
You’ll…
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.
We engineer for quality, lineage and a shared understanding of information.
We use modern cloud architecture to create scalable, maintainable data solutions.
Engineers, architects, project teams and business partners solve problems together.
GDPR, PCI, risk and good control practices are considered from the outset.
We question existing approaches and adopt tools that improve time to market.
We document well, share experience and help the wider engineering community grow.
Data platforms & processing: Azure Data Factory, Databricks, Spark, Azure Blob Storage, Azure Data Lake
NiFi, Hive, Kafka, HBase
Batch and near real‑time processing
Cloud and on‑premise integration
Engineering & delivery: Agile, DevOps, CI/CD, Test automation
Metadata‑driven pipelines, Data modelling, Data marts
Performance tuning, Troubleshooting, Secure development
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.
Benefits & Culture
Award-Winning Employer
Great Place to Work Certified
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