Software Engineer - (Data & AI)

We’re a leading business management solution with a core purpose: helping more businesses in Australia and New Zealand start, survive and succeed.

At MYOB, we believe what’s good for one business is good for all business—and for all of us. Whether you support them, work for them, or dream of building your own, when businesses run smoothly, everybody feels it. Owners, employees, customers, suppliers—even families. That’s why we’re here: to give every person in business the tools they need to focus on what really matters and do Big Things—whatever big looks like for them.

And for you? Joining MYOB means being part of that impact. It means using your skills to help businesses thrive, shaping the future of work, and growing alongside the people and communities we support. Because while we’re the business of software, we’re really in the business of people. And that makes MYOB Everyone’s Business.

Join us as a Software Engineer at MYOB, where you’ll build and support reliable data flows, ensuring integrity, quality, accessibility, and visibility across the landscape.

Collaborating with a team of data engineers to improve standard methodologies and drive smarter decisions throughout the organization. From product and tech to data science and ML, you'll help teams contribute to the data platform through scalable solutions and data product builds. Your work will help manage risk, unlock value, and drive a culture of continuous improvement and innovation in how we do data.

- Design, build, and support reliable, scalable data flows that are observable, governable, and aligned to evolving data standards.

- Prepare structured data and metadata for AI products and analytics, enabling insight across teams.

- Partner with engineers, developers, data scientists, and analysts to ensure data infrastructure meets business needs.

- Champion innovation and continuous improvement to boost data engineering impact and capability.

- Extensive experience in data solutions, technology tools, governance tools, cloud platforms, Python/Scala, and SQL.

- Familiar with engineering practices such as TDD, clean code, CI/CD, and DevOps.

- Proven experience delivering reliable, efficient data infrastructure.

- Strong communication skills with a track record of working across business, tech, and data teams.

- Solid understanding of data quality, consistency, and governance requirements.

- Ability to understand needs across domains like finance, marketing, sales, customer, and product data.

- Awareness of data needs for AI/ML and integration with MLOps tools and practices.