Real Time Data Feed Analytics Engineer (Market Data)


  • Developing low latency solutions for real time feeds for daily sourcing and collating of the exchange and market data files into firms databases
  • Investigating and troubleshooting feed handlers or data problems as they occur
  • Fixing code issues in the feed handlers
  • Review and influence the design and standards of the software (data feed handlers)

  • Good knowledge of Real Time Marker Data specifics, relevant past experience in this field
  • Strong skills in C++ and/or Java
  • Familiarity with different database management systems (Oracle, MS SQL, PostgreSQL)
  • Good SQL skills (building complex queries)
  • Effective problem solver
  • Experience with Linux environments
  • Bachelor's degree in Computer Science or related fields or similar professional experience
  • English written/verbal skills required
  • Understanding of trading and order management systems along with knowledge of financial markets.
  • Domain expertise in equities, fixed income or FX
Projektbeschreibung und Arbeitsbedingungen:

The Market Data group is responsible for locating, sourcing and distributing the required market data within the firm. The team supports the feed handlers that run all over the world and provide the firm with real time market data from financial data sources, such as Bloomberg, Thomson Reuters, JP Morgan, London Stock Exchange and many others. We are looking for RealTime Data Feed Analytics Engineer capable to - develop and maintain higly effective, low latency real time data feeds from different type of sources, that fetch data in various formats and store it into dedicated databases. C++ and Java tech stack - investigating, debugging and fixing mission critical problems as they occur in real time, and maintaining high performance of data processing The engineer should have good knowledge of Marker Data specifics and past experience working in Real Time Market Data field. Technical requirements include stong skills in C++ and/or Java, familiarity with different database management systems (Oracle, MS SQL, PostgreSQL) and various database connectivity technologies; SQL skills (building complex queries for data issues analysis and investigation).

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