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Kdb And Python Developer

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Barclays

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Location:
Singapore , Singapore

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

Embark on a transformative journey with Barclays as a KDB Developer, helping redefine the future of banking through innovative, high-impact solutions. This role offers a unique opportunity to work on critical Credit Algo trading infrastructure, driving improvements that enhance scalability for sales and trading teams, increase system stability, and free up RAD developers to focus on business-facing initiatives. You’ll collaborate closely with the KDB Core team to modernise, simplify, and standardise the KDB stack. As KDB+ is a central pillar of our data strategy, you’ll engage regularly with senior stakeholders and gain exposure to one of the largest KDB estates in the industry—offering valuable insight into advanced design patterns and large-scale implementations. This position also presents exciting opportunities to work on next-generation technologies as we evolve toward containerisation and cloud-native architectures. Key initiatives include exploring PyKX, Databricks, and Snowflake integration with KX.

Job Responsibility:

  • Design, develop and improve software using various engineering methodologies
  • Development and delivery of high-quality software solutions using industry aligned programming languages, frameworks, and tools
  • Cross-functional collaboration with product managers, designers, and other engineers
  • Collaboration with peers, participate in code reviews
  • Stay informed of industry technology trends and innovations
  • Adherence to secure coding practices
  • Implementation of effective unit testing practices

Requirements:

  • Extensive experience with KDB+/Q, including tick architecture, CEP development, data simulation, and database design
  • Strong Python engineering skills, including building services, data tooling (ideally with PyKX), automation, and integration with KDB environments
  • Expertise in low-latency systems and optimising queries for large-scale time-series data
  • Experience within front-office or electronic trading systems
  • Solid understanding of Agile and SDLC practices, with hands-on experience in tools such as Maven, Java, Git, TeamCity, Jira, and Confluence

Nice to have:

  • Academic background in fields such as Computer Science, Mathematics, Physics, or Engineering
  • Experience delivering the full development lifecycle of at least one large-scale commercial system, ideally with significant contributions to distributed KDB+ platforms
What we offer:
  • Competitive holiday allowance
  • Life assurance
  • Private medical care
  • Pension contribution

Additional Information:

Job Posted:
May 16, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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