Hybrid Graph DB Engineer & Real-Time Data Architect

UST; Leeds; Hybrid; GBP 110,700 - 156,825; Full time

Job summary

UST in the United Kingdom is seeking a Full Stack Engineer (Graph DB) to design, build and evolve the Global Data Network platform from Leeds or London in a hybrid role. You’ll work across backend services, data platforms, cloud infrastructure, and UI to modernise data sharing for fraud intelligence.

The role focuses on real-time data ingestion, graph-based data models, and cloud-native architectures on Azure, with APIs enabling cross-system integration.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Full Stack engineering

Backend development

Java

Python

Azure

APIs

Real-time data

Graph data modeling

Tools

Neo4j

Cosmos DB

Terraform

Job description

UST in the United Kingdom is seeking a Full Stack Engineer (Graph DB) to design, build and evolve the Global Data Network platform from Leeds or London in a hybrid role. You’ll work across backend services, data platforms, cloud infrastructure, and UI to modernise data sharing for fraud intelligence.

The role focuses on real-time data ingestion, graph-based data models, and cloud-native architectures on Azure, with APIs enabling cross-system integration.