Data Engineer

Job description

Our team designs and delivers reliable data solutions that help stakeholders access and use data effectively. We work closely with product owners, analysts, data consumers and platform teams to build scalable data products and maintain strong operational performance. 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. In this role you will design, build and maintain scalable data models and data products, ensuring they are reliable, high performing and well supported. You will work closely with a range of stakeholders to deliver analytical solutions while improving monitoring, automation and operational processes.

You will have the opportunity to combine analytical engineering skills with hands-on DataOps expertise to support solutions in production. Strong experience operating and supporting cloud-based data platforms in AWS, including monitoring, incident management, root cause analysis and performance optimisation across data pipelines, orchestration frameworks and platform services. Proven experience owning analytical data solutions in production, with responsibility for platform reliability, scalability, observability and cost optimisation in cloud environments.

Deep expertise in SQL, dbt and AWS data services, particularly Redshift, S3 and Glue, with the ability to build, optimise and maintain robust data models and transformation pipelines. Experience designing, building and delivering scalable, production-grade analytical data products that support enterprise reporting, analytics and data-driven decision making. Strong focus on engineering excellence, including automation, testing, data quality, monitoring and operational best practices to ensure reliable and performant data solutions.

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. 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 employment type, include: 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 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 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.

We provide reasonable adjustments to individuals who may need support during the recruitment process and employment. If you require an adjustment, please let us know during the application process.