Job Description
Full details about the role and requirements
Yukerja Summary
The KDB+ Developer role at Macquarie Group is curated from JobStreet (category Teknologi & IT). Note the work location (Indonesia) before applying. Yukerja.com is not the employer — applications are handled on the official source site.
Additional office locations
London
Job ID
22837
Date
26-Jun-2026
Permanent - Full time,
As a KDB Developer, you will play a key role in running, enhancing and modernising our KDB ecosystem, partnering closely with quants, traders and business users to support our Quantitative Investment Strategies business.
You will join a small, hands-on team where contribution is visible and ownership grows quickly, with genuine end-to-end exposure across the full data lifecycle, from onboarding real-time and historical market data through to building analytics engines and historical databases that support research and backtesting, while ensuring the platform operates reliably in a live production environment
You will be involved in the modernisation of our KDB ecosystem, refining existing components and developing new features, reducing operational overhead through automation, and supporting our ongoing cloud migration. As the platform continues to evolve, the team is also focused on exploring and applying AI-driven capabilities.
Key responsibilities:
- Design, develop and maintain KDB+/q applications, including real-time data ingestion, analytics engines and historical databases
- Build and optimise data pipelines and large-scale time-series data structures
- Collaborate with quants, traders and business users to deliver data, tools and analytics supporting trading, risk and research requirements
- Onboard and integrate real-time and historical market data sources
- Implement data quality checks, monitoring frameworks and system observability across KDB environments
- Work closely with DevOps/SRE teams to support reliable deployment, capacity planning and performance tuning
- Troubleshoot data issues, performance bottlenecks and production incidents, contributing to ongoing platform support
- Contribute to the design and evolution of scalable data solutions
- Support platform modernisation initiatives, including automation, cloud migration and AI-enabled capability
As a KDB Developer, you will play a key role in running, enhancing and modernising our KDB ecosystem, partnering closely with quants, traders and business users to support our Quantitative Investment Strategies business.
You will join a small, hands-on team where contribution is visible and ownership grows quickly, with genuine end-to-end exposure across the full data lifecycle, from onboarding real-time and historical market data through to building analytics engines and historical databases that support research and backtesting, while ensuring the platform operates reliably in a live production environment
You will be involved in the modernisation of our KDB ecosystem, refining existing components and developing new features, reducing operational overhead through automation, and supporting our ongoing cloud migration. As the platform continues to evolve, the team is also focused on exploring and applying AI-driven capabilities.
Key responsibilities:
- Design, develop and maintain KDB+/q applications, including real-time data ingestion, analytics engines and historical databases
- Build and optimise data pipelines and large-scale time-series data structures
- Collaborate with quants, traders and business users to deliver data, tools and analytics supporting trading, risk and research requirements
- Onboard and integrate real-time and historical market data sources
- Implement data quality checks, monitoring frameworks and system observability across KDB environments
- Work closely with DevOps/SRE teams to support reliable deployment, capacity planning and performance tuning
- Troubleshoot data issues, performance bottlenecks and production incidents, contributing to ongoing platform support
- Contribute to the design and evolution of scalable data solutions
- Support platform modernisation initiatives, including automation, cloud migration and AI-enabled capability