Full Stack Engineer (Graph DB) at UST, Leeds/Remote, £Contract Option

Location:           Leeds or London (Hybrid)
Type:                 Contract / Fixed-Term Employment
Start:                 ASAP

We’re seeking a Full Stack Engineer with a strong backend focus to help build and modernise the Global Data Network (GDN), a high-impact platform enabling the secure sharing and analysis of fraud intelligence across systems.

This is a hands-on engineering role where you’ll work across backend services, data platforms, cloud infrastructure, and UI, contributing to the evolution of a cloud-native, API-driven architecture.

You’ll play a critical role in transforming legacy data-sharing approaches into a scalable, real-time, graph-powered platform that enhances fraud detection and intelligence capabilities.

What You’ll Be Doing

• Design, build, and evolve the Global Data Network platform
• Lead the transition from database/CSV-based data sharing to a modern, cloud-native, API-driven architecture
• Develop backend services to support real-time fraud data ingestion, processing, and distribution
• Design and implement graph-based data models to uncover relationships between fraud-related entities
• Build and optimise scalable solutions on Azure, contributing to architecture and platform design decisions
• Develop APIs enabling real-time and near real-time data exchange across systems
• Contribute to lightweight UI components for visualising graph relationships and entity connections
• Collaborate closely with engineering, architecture, and product teams to deliver high-performance solutions

 What We’re Looking For

Core Experience

• Strong Full Stack engineering experience with a clear strength in backend development
• Hands-on expertise in Java (preferred) or Python
• Experience building distributed systems, APIs, and cloud-native applications
• Strong experience working with Azure cloud services and modern architectures
• Solid understanding of data modelling, database design, and data processing systems

Specialist Skills

• Experience with Graph Databases (e.g., Neo4j, Cosmos DB Gremlin, or similar)
• Ability to model complex relationships and entity networks
• Experience working on real-time or near real-time data platforms
• Familiarity with Infrastructure as Code (Terraform or similar)