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BlackRock
Java Engineer
atĀ BlackRock
1 day ago | 41 views | Be the first one to apply

Java Engineer

Full-time
Edinburgh, Europe

About the company

BlackRock's purpose is to help more and more people experience financial well-being. As a global investment manager and a leading provider of financial technology, our clients—from grandparents, doctors, and teachers to large institutions—turn to us for the solutions they need when planning for their most important goals. People join our firm from around the world to gain real-world experience while making an impact. Discover how you can have a career at BlackRock that's exciting, rewarding and full of possibilities.

Job Summary

Key Responsibilities

šŸ“Design and develop robust, high-performance back-end systems using Java 11+ and the Spring Boot ecosystem. šŸ“Lead design discussions, code reviews, and architecture sessions with a hands-on approach. šŸ“Build and maintain microservices and event-driven systems to process and distribute large-scale financial data. šŸ“ Develop data integration and pipeline components that connect systems across Snowflake, SQL Server, and real-time streaming platforms. šŸ“Implement and optimize Redis-based caching and data stores for low-latency access patterns. šŸ“Champion best practices for code quality, testing, automation, and performance tuning. šŸ“Collaborate cross-functionally to ensure technical solutions align with product goals and business outcomes.

Qualifications / Competencies

šŸ“ B.S./M.S. in Computer Science, Engineering, or related discipline. šŸ“ 3+ years of professional experience in Java and object-oriented design. šŸ“Strong knowledge of Spring Boot, REST APIs, and enterprise integration patterns. šŸ“ Deep expertise in SQL Server, including stored procedures, performance tuning, and data modeling. šŸ“ Experience with Redis for caching or data persistence. šŸ“Hands-on exposure to Kafka or similar publish-subscribe systems for real-time event processing. šŸ“ Familiarity with Snowflake and data pipeline concepts (ETL, batch vs. streaming).

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