Data Analyst / Engineer in Sydney

Our Commodities and Global Markets team ensures that data is accurately and appropriately maintained for compliance with global regulations and internal policies regarding completeness, quality, and timeliness. We are committed to innovation and continuously raising the bar in data management through technology, AI, and engineering excellence.

As an innovative and technically minded Data Analyst/Engineer, you will partner with business and operational teams to gather requirements, design and deliver data engineering solutions for financial reporting. Bringing a developer’s mindset to the role, you will apply software development lifecycle best practices, including version control, automated testing and structured deployment, to ensure solutions are reliable, scalable and fit for purpose. You will also actively explore and implement artificial intelligence capabilities within data workflows, driving smarter automation and delivering improved outcomes across the business.

Your day-to-day will include building data pipelines, deploying automated solutions and continuously improving how the team uses data and technology. You will design and develop data solutions to address complex data challenges, including implementing sophisticated logic to produce data quality monitoring reports that reduce manual effort for the Financial Reporting team. In addition, you will provide ongoing monitoring and operational support to ensure solutions perform consistently and reliably, while evolving and governing existing capabilities to keep pace with a rapidly changing technology landscape. You will also mentor colleagues and lead by example, promoting strong design principles and the development of sustainable, reusable data solutions. You will play a key role in fostering engineering excellence, helping to build robust capabilities that support both current business needs and future growth.

What you offer:

• 3+ years’ experience with Python and Dataiku platform, with a focus on writing clean, well-structured and testable code.
• Strong knowledge and practical application of SDLC best practices including Git-based version control, testing and deployment pipelines.
• Demonstrated experience applying AI and automation tools, including LLMs and generative AI to real-world data problems.
• Tertiary qualifications in Data Science, Engineering, Computer Science, Finance, Mathematics, or a related field, with a strong academic record.
• Highly numerate with the ability to critically analyse, interrogate, interpret, and draw conclusions from multiple data sources.
• Strong problem-solving mindset with a passion for resolving complex business challenges through data engineering and intelligent automation.

What we offer:

• 1 wellbeing leave day per year
• Up to 5 additional service bonus leave days per year
• Up to 20 weeks’ paid parental leave for primary caregivers along with 12 days of transition leave upon return to work, and 6 weeks’ paid leave for non-primary caregivers
• 2 days of paid volunteer leave and donation matching
• Up to 12 months’ gender affirmation leave, including 6 weeks’ paid leave
• Access to Employee Assistance Program and wellbeing benefits including skin and health checks, and flu vaccinations
• Access to a wide range of salary packaging options
• Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription
• Hybrid and flexible working arrangements, dependent on role
• Reimbursement for work from home equipment

We are committed to providing an inclusive environment for all, where different experiences, skills and perspectives are valued and respected. Macquarie provides access to opportunities for all individuals regardless of race, colour, religion, sex, sexual orientation, national origin, age, disability, protected veteran status, genetic information, marital status, gender identity or any other characteristic or circumstance.