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Senior Data Engineer (4644)
Senior Data Engineer builds and optimizes real-time data streaming and Python-based pipelines to power analytics and BI for Scotland’s social security systems.
Senior Data Engineer
Designs and optimizes scalable data platforms and pipelines using Microsoft Fabric, Azure, Spark, SQL, and Python to enable analytics, data integration, and governance for hybrid work environments.
Trading Full Stack Engineer - Java/Angular, London Onsite
Build and maintain trading applications using Java/Spring Boot and Angular, integrating with Kafka, MQ, and FIX Protocol for investment banking workflows.
Backend Engineer
Builds and maintains scalable backend systems for Depop’s payments infrastructure, collaborating with mobile, web, and data teams to support 1M+ daily users in a peer-to-peer fashion marketplace.
Software Engineer
Builds and evolves a scalable trade booking, reconciliation, and reporting platform for multi-asset class financial products using Java, Spring Boot, and cloud-native tools.
Java Developer | Cloud, Kafka & AWS (12m Contract, Hybrid)
Develops and supports large-scale government digital services using Java, Spring Boot, AWS, Kafka, and MongoDB in an Agile environment with hybrid working.
Java Developer - Cloud, Spring Boot & Kafka (12M Contract)
Build and maintain scalable, event-driven government digital services using Java, Spring Boot, AWS, and Kafka in a hybrid role.
Java Developer – Public Sector (Hybrid)
A Java Developer for a 12-month public sector contract, building production-ready systems with Spring Boot, AWS, Kafka, and MongoDB while ensuring system robustness and collaborating on architecture.
Java Developer - Central Government
Develops Java-based software for UK government services, focusing on system stability, reusable libraries, and automated testing. Core tech stack: Spring Boot, AWS, Kafka, MongoDB.
Lead Java Developer - Central Government
Lead Java Developer for a UK government agency, driving technical evolution, setting standards, and leading software engineering teams to build reusable libraries and services. Core tech stack: Spring Boot, AWS, Kafka, MongoDB.
Senior Full Stack Kotlin Developer
Senior Full Stack Kotlin Developer leads Kotlin-based digital solutions for public/private sector clients, combining strategy, design, and engineering to deliver scalable, secure systems. Mentors teams and ensures technical excellence in consultancy projects requiring on-site client engagement.
Senior DevOps Engineer
Lead a DevOps team to design and operate CI/CD pipelines, Kubernetes clusters, and AWS infrastructure for a SaaS risk-management platform serving tens of thousands of users.
AI Engineer @ The Dock
Builds AI/GenAI agentic solutions for real-world business challenges, designing scalable production systems and collaborating with cross-functional teams to prototype and deploy innovative AI products.
Sr Manager, Data Engineering
Lead the architecture and delivery of McDonald’s global customer data platform, building scalable, real-time data pipelines in Java and cloud-native stacks to power marketing and customer engagement systems.
Backend Engineer
Backend engineer at a fintech company building global trust infrastructure; designs scalable APIs and systems for high-trust, regulated environments using Node.js/TypeScript, Postgres/MySQL, and cloud-native tools.
Senior Software Engineer
Build and scale a data and AI platform for construction-tech using AWS, Kubernetes, Python, Kafka, Flink, and React; collaborate with data scientists and engineers to deliver automation and self-service tools.
Sr. Software Engineer - MCU
At H1, we believe access to the best healthcare information is a basic human right. Our mission is to provide a platform that can optimally inform every doctor interaction globally. This promotes health equity and…
Senior Data Platform Engineer
Design and build a scalable data platform for IoT beverage machines, enabling analytics, AI, and self-service BI using Snowflake, dbt, Fivetran, and Looker.
Data Platform Engineer, Emerging Technology Solutions
Builds and maintains scalable data platforms for Apple’s security solutions, focusing on anti-phishing, spam prevention, and network security. Uses NoSQL, ML, and big data to process high-volume threat data at global scale.