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Our Data Services KDB team plays a key role in developing the platforms that underpin our Commodities and Global Markets business, partnering closely with our Quantitative Investment Strategies (QIS) teams.

Sitting at the centre of how data is used across trading, risk hedging and quantitative research, the team supports a platform spanning both real-time and historical data workflows. We ingest and process market data used in live trading environments, while maintaining large-scale historical datasets that enable quant teams to research and backtest strategies before they move into production. The platform operates across a broad, multi-asset landscape, with a strong and differentiated focus on commodities, alongside options, futures and index products.

We are a global financial services group operating in 30 markets with 57 years of unbroken profitability. At Macquarie, you’re empowered to shape a career that is fulfilling and creates value. You will bring your insights and expertise to the task at hand and feel supported as you make your own kind of impact for a better future.

What role will you play?

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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

What you offer

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• Hands-on experience with KDB+/q, ideally within a production or data-driven environment, with a good understanding of the data lifecycle
• Ability to write efficient q queries, with an appreciation for performance, scalability and memory optimisation
• Experience working with market or time-series data, ideally with exposure to real-time data feeds (e.g. Bloomberg, LSEG/Refinitiv)
• Solid knowledge of Linux/Unix environments, with experience in scripting and working within distributed systems

We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply.

What we offer

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At Macquarie, you’re empowered to shape a career that’s rewarding in all the ways that matter most to you. Macquarie employees can access a wide range of benefits which, depending on eligibility criteria, include:

• 1 wellbeing leave day per year and a minimum of 25 days of annual leave.
• 26 weeks’ paid parental leave for primary caregivers along with 12 days of paid transition leave upon return to work and 6 weeks’ paid leave for secondary caregivers
• Paid fertility leave for those undergoing or supporting fertility treatment
• 2 days of paid volunteer leave and donation matching
• Access to a wide range of salary sacrificing options
• Benefits and initiatives to support your physical, mental and financial wellbeing including, comprehensive medical and life insurance cover
• Access to our Employee Assistance Program, a robust behavioural health network with counselling and coaching services
• Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription
• Access to company funded emergency and backup dependent care services
• Recognition and service awards
• Hybrid and flexible working arrangements, dependent on role
• Reimbursement for work from home equipment

About Technology

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Technology enables every aspect of Macquarie, for our people, our customers and our communities. We’re a global team that is passionate about accelerating the digital enterprise, connecting people and data, building platforms and applications and designing tomorrow’s technology solutions.

Our commitment to diversity, equity and inclusion

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We are committed to providing a working environment that embraces diversity, equity, and inclusion. We encourage people from all backgrounds to apply regardless of their identity, including age, disability, neurodiversity, gender (including gender identity or expression), sexual orientation, marriage or civil partnership, pregnancy, parental status, race (including ethnic or national origin), religion or belief, or socio-economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process.

Our aim is to provide reasonable adjustments to individuals as required during the recruitment process and in the course of employment. If you require additional assistance, please let us know during the application process.