KDB+ Engineer — High-Performance Time-Series

Harrington Starr

Greater London

On-site

GBP 90,000 - 120,000

Full time

8 hours ago
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Job summary

Harrington Starr is partnering with a specialist financial technology consultancy to hire a KDB+ Engineer. This hands-on role focuses on building high-performance KDB+ and q applications for time-series data and large-scale financial systems.

You will design, develop and optimise production-grade architectures, collaborate with engineering and business teams, and contribute to reliability, scalability and best practices across the development lifecycle.

Qualifications

  • Strong commercial experience with KDB+.
  • Excellent q programming skills and a solid understanding of time-series data.
  • Experience building and supporting KDB+ applications in production.
  • Strong Unix/Linux skills and scripting experience.
  • A focus on writing clean, efficient and highly performant code.
  • Experience working within capital markets or financial technology.

Responsibilities

  • Design, develop and optimise high-performance KDB+ and q applications.
  • Work with large-scale time-series datasets, including real-time and historical financial data.
  • Help design and implement scalable KDB+ architectures for production environments.
  • Develop, test, support and maintain applications throughout the full development lifecycle.
  • Work closely with engineering and business teams to understand requirements and deliver efficient technical solutions.
  • Troubleshoot performance and production issues, continually improving system reliability and efficiency.
  • Contribute to development standards, best practices and technical decision‑making.

Skills

KDB+
q programming
Time-series data
Unix/Linux
Scripting
Production support
Performance optimisation
Financial markets
Communication

Job description

Harrington Starr is partnering with a specialist financial technology consultancy to hire a KDB+ Engineer. This hands-on role focuses on building high-performance KDB+ and q applications for time-series data and large-scale financial systems.

You will design, develop and optimise production-grade architectures, collaborate with engineering and business teams, and contribute to reliability, scalability and best practices across the development lifecycle.

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