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# Full Stack Engineer

- **Company:** Ust
- **Location:** London, UK
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Architectural Patterns, Microsoft Azure, Cloud Computing, Cloud Engineering, Computer Networks, Databases, Data Sharing, Database Design, Distributed Systems, Fraud Prevention and Detection, Graph Database, Python (Programming Language), Neo4j, Data Processing, Data Ingestion, Spring Cloud, Backend, Material UI, Real Time Data, Cosmos DB, Data Management, Api Design, Terraform
- **Published:** June 21, 2026
- **Apply:** https://www.careerjet.co.uk/jobad/gbfeaa3829d1abb4488f45bc7d814cb64d

## About the Role

* 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), java,database design,graph database,networking

## Description

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


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