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Senior Java Backend Engineer - Distributed Systems (Hybrid)
Build and maintain distributed Java services using Kafka and event-driven architectures, deploy on Kubernetes, and mentor peers in a hybrid London role.
Senior Java Backend Engineer — Real-Time Personalisation
Build low-latency Java/Spring Boot microservices and event-driven pipelines (Kafka, Flink) to power real-time personalization across Tesco’s web, mobile, and in-store channels.
Backend Engineer: Real-Time Trading Systems
Build and maintain real-time trading systems for a global hedge fund, using Kafka and Flink to process high-frequency market data and support trading operations.
Staff Backend Engineer - Data Platform
Staff Backend Engineer to lead Depop’s data platform, building scalable pipelines, data lake, governance, and real-time analytics using Python/Scala, Spark, Kafka, and cloud platforms.
Senior Backend Engineer
Senior Backend Engineer builds low-latency systems that process blockchain data and detect real-time threats for wallets, exchanges, and fintech platforms.
Senior Java Software Engineer
Build and evolve a high-performance trading platform using Core Java, multi-threaded server-side systems, and big-data tech like Hadoop and Flink.
Senior Software Engineer, Java
Build and evolve a real-time trading risk platform for sports betting using Java and Apache Flink, processing bet lifecycle events and calculating exposure across brands.
Senior Software Engineer, Java
Build and maintain a real-time liability and risk platform for a sportsbook, using Java and Flink to process bets and deliver live exposure insights.
Security Engineer III - Data Engineer
Build and maintain scalable data pipelines and analytics for cybersecurity at a global bank, using Python, SQL, Spark, Kafka, and cloud platforms.
Senior Java Software Developer
Build and maintain distributed observability services in Java, ingesting and processing high-volume data with Kafka and Kubernetes to power real-time monitoring for global financial institutions.
Data Engineer II (Data Platform)
Build and maintain Tripadvisor’s petabyte-scale data pipelines and platforms using Java, Python, Spark, Flink, and Snowflake to power analytics, ML, and GenAI across the travel giant’s global brands.
Risk Control Data Engineer
Build and optimize data pipelines and warehouses for JD.com’s e-commerce risk control systems using Hadoop, Spark, and Flink.
Data Engineer II (Data Platform)
Build and maintain Tripadvisor’s petabyte-scale data pipelines and platforms using Java, Python, Spark, Flink, and Snowflake to power analytics, experimentation, and GenAI across the travel giant’s global brands.
Principal Data Engineer
Principal Data Engineer designs and builds modern, cloud-native data platforms and real-time pipelines using Databricks, Snowflake, AWS/GCP, Spark, Kafka, and Flink for enterprises and government clients.
Lead Software Engineer - Data & AI
Lead a team building scalable data platforms and AI systems, including RAG pipelines and GenAI integrations, to power fintech products at JPMorgan Chase.
Lead Software Engineer - Data & AI
Lead a team building scalable data platforms and AI systems for a fintech product, focusing on RAG pipelines, GenAI integrations, and cloud-native AI services.
Senior Java Developer – Kings Cross, London
Lead the development of a global enterprise platform using Java, Spring Boot, and AWS, designing APIs, databases, and event-driven services for Universal Music Group’s internal teams.
Consultant - Manager, Data Engineer, AI & Data, Defence & Security
Build secure, scalable data pipelines and platforms for government clients, transforming sensitive data into trusted assets for analytics and AI using Python, SQL, and cloud tools.
Java backend Developer
Builds and maintains scalable Java microservices with Spring Boot, real-time data pipelines using Kafka/Flink, and deploys them on AWS and Kubernetes.
Senior Java Developer
Senior Java developer building a global internal platform using Spring Boot, APIs, and cloud-native tools to support Universal Music Group’s teams worldwide.