Role Overview Our client is seeking a Java Engineer to join their Data Distribution team, responsible for building and evolving an enterprise‑grade investment data platform supporting Research, Portfolio Management, Trading, and Analytics. This role focuses on Java-based backend and microservice development within a distributed, event‑driven data architecture. You will design and optimise high‑performance services and APIs that move and expose critical investment data at scale, with a strong emphasis on reliability, security, and performance. You will work closely with product owners, business analysts, and data engineers to deliver production-grade systems that directly support investment decision‑making. The environment prioritises modern engineering practices, clean architecture, and operational excellence. Key Responsibilities Design, develop, and maintain Java-based backend services supporting investment and analytics workflows Build and enhance data distribution and integration services, including batch and event‑driven processing Develop scalable RESTful APIs and high‑throughput data access services Use Spring Boot and the wider Spring ecosystem to build robust, testable, and maintainable applications Contribute to event-driven architectures, integrating with messaging and streaming platforms Collaborate with business and technical stakeholders to translate requirements into resilient technical solutions Ensure application security, availability, performance, and data integrity Implement and maintain CI/CD pipelines, automated testing, and monitoring Participate in code reviews, architectural discussions, documentation, and production support Qualifications Required Bachelor's degree in Computer Science, Engineering, or a related discipline (Master's preferred) 4-5 years of commercial Java development experience Strong SQL skills and experience with relational databases Proven experience building and maintaining RESTful APIs Solid understanding of object‑oriented design, concurrency, and backend engineering principles Experience with CI/CD pipelines, Agile delivery, and software engineering best practices Experience with performance tuning, secure application design, and automated testing Preferred Financial services or investment management experience Experience with Kafka or other event‑driven / messaging systems Familiarity with PostgreSQL, NoSQL databases, or caching technologies Exposure to Docker, Elastic Stack, RabbitMQ, Redis, or similar infrastructure tools Experience building distributed, scalable backend or data platforms