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.
Help shape the backbone of MYOB’s data ecosystem
Join us as a Senior Data 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.
What You'll Do
As a foundational member of the AI team, you’ll shape the technical vision and build systems that directly impact our customers' success. This is a unique opportunity to:
- Design, build, and maintain scalable, reliable, and observable data pipelines that meet evolving data standards and governance requirements.
- Develop and optimise structured datasets and metadata frameworks to support advanced analytics, AI, and business intelligence use cases.
- Collaborate closely with software engineers, data scientists, and analysts to ensure the data platform effectively supports business and product goals.
- Drive innovation and best practices in data engineering, continuously improving data quality, performance, and delivery efficiency across teams.
What You’ll Bring
- Extensive experience in data solutions, technology tools, governance tools, cloud platforms, Python/Scala, and SQL.
- Experience building pipelines and products with unstructured data, applying relevant techniques such as classic NLP, embedding and feature extraction from multi-modal data.
- 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.
Bachelor’s or Master’s degree or equivalent experience in Computer Science, Data Science, Machine Learning, or a related field and relevant certifications (e.g., AWS Certified Machine Learning – Specialty) are highly desirable.
Ready to Build the Future?
If you’re passionate about Data and AI and want to be part of a team that’s shaping the future of business technology, we’d love to hear from you!