Data Services Team offers a variety of data product with strong focus on engineering including data science, and data analytics to help our business users mainly trading teams to make data-driven decisions and improve their business operations.

At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You’ll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes.

As a Data Platform Engineer, you will join our dynamic Engineering team developing cutting-edge data product solutions. You will build and maintain applications ranging from cloud infrastructure automation AWS, APIs, query engines, and orchestration platforms. Our flat structure means that you will directly contribute to our strategy while taking ownership of a diverse range of projects utilising the latest technologies.

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.

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.

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.