Full Stack Engineer (Graph DB) - UK, Hybrid

UST Global; Leeds; Hybrid; GBP 39,000 - 79,000; Full time

Job summary

UST Global is seeking a capable Full Stack Engineer with a strong backend focus to design and evolve our Global Data Network platform. You will work across backend services, data platforms, cloud infrastructure, and UI components, contributing to a cloud-native, API-driven architecture.

The role emphasizes real-time data processing, graph-based data modelling, and collaboration with engineering, architecture, and product teams.

Qualifications

• Strong full stack engineering experience with backend focus.
• Hands-on Java (preferred) or Python expertise.
• Experience building distributed systems, APIs and cloud-native apps.
• Solid Azure cloud services knowledge and modern architectures.

Responsibilities

• Design, build, and evolve the Global Data Network platform.
• Lead migration to a modern, cloud-native, API-driven architecture.
• Develop backend services for real-time fraud data ingestion and distribution.
• Design graph-based data models to reveal fraud-related relationships.

Skills

Full stack engineering

Backend development

Java

Python

Distributed systems

APIs

Cloud-native

Azure cloud

Data modelling

Graph databases

Neo4j

Cosmos DB

Terraform

Real-time data platforms

API-driven architecture

Tools

Terraform

Azure

Neo4J

Cosmos DB

API development

Job description

Salary: £39,000 - 79,000 per year

Requirements:

• 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
• Experience with graph databases such as 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 such as Terraform or similar

Responsibilities:

• Design, build, and evolve our 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

Technologies:

• API
• Azure
• Backend
• Cloud
• Cosmos DB
• Support
• Java
• Neo4J
• Network
• Python
• Terraform
• UX UI Design
• Architect
• Fullstack

More:

We are seeking a Full Stack Engineer with a strong backend focus to help build and modernise our 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 will work across backend services, data platforms, cloud infrastructure, and UI, contributing to the evolution of a cloud-native, API-driven architecture. You will 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. The role is based in Leeds or London and follows a hybrid working model. It is offered as a contract or fixed-term employment opportunity, with an ASAP start.

last updated 36 week of 2026