This role involves designing and implementing distributed systems that deliver scalable and high-performance market data solutions processing billions of daily time-series data points
Job Summary
This role involves designing and implementing distributed systems that deliver scalable and high-performance market data solutions processing billions of daily time-series data points.
Candidates will collaborate with experienced engineers, Data Analysts, and Products across London, New York, and San Francisco on a high-visibility product.
The team values mentorship, ownership, and technical excellence while shaping the future of Bloomberg's pricing quality platform.
Matching Summary
Match Score: 85
This role involves designing and implementing distributed systems that deliver scalable and high-performance market data solutions processing billions of daily time-series data points.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
Python or Java OOP development
Distributed systems and infrastructure
Kafka or Spark streaming frameworks
Performance-critical code optimization
Production-ready application building
Nice-to-have
Financial services domain experience
Docker containerised development
Enterprise client integration exposure
Applied machine learning knowledge
Cross-asset derivatives background
Key Requirements
Degree in Computer Science, Engineering, Mathematics or equivalent
Demonstrated experience with production ready applications
Familiarity with distributed messaging and streaming frameworks