Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

Shape the backbone of MYOB's data ecosystem by building and supporting reliable data flows, ensuring integrity, quality, accessibility, and visibility. Collaborate with a team of data engineers to improve standard methodologies and drive smarter decisions throughout the organization. Help manage risk, unlock value, and drive a culture of continuous improvement and innovation in how data is handled.

Responsibilities

• 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.

Requirements

• 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.

Skills

• Data solutions
• Technology tools
• Governance tools
• Cloud platforms
• Python
• Scala
• SQL
• Unstructured data processing
• NLP
• Embedding
• Feature extraction
• TDD
• Clean code
• CI/CD
• DevOps
• Data quality
• Data consistency
• Data governance
• AI/ML
• MLOps

Location

• Hybrid

Work Type

• Hybrid

Experience Level

• Senior

Education Level

• Bachelor’s or Master’s degree or equivalent experience in Computer Science, Data Science, Machine Learning, or a related field
• Relevant certifications (e.g., AWS Certified Machine Learning – Specialty) are highly desirable.

Benefits

• Flexible, hybrid workplace
• Home office setup financial assistance
• Corporate discounts and vouchers
• Partnership with Sonder for wellbeing support
• In-house training and programs
• LinkedIn Learning
• Conference and study assistance
• Variety of leave options (purchased leave, parental leave, domestic violence leave, transgender leave, community leave, study leave)
• Access to communities focused on Wellness, Belonging, and the Planet

About the Company

• MYOB is a leading business management solution helping 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.
• Joining MYOB means being part of an impact, using skills to help businesses thrive, shaping the future of work, and growing alongside the people and communities we support.
• We are in the business of people, making MYOB Everyone’s Business.

Equal Opportunity

• MYOB is an equal opportunity employer.
• We encourage applications from women and underrepresented groups, even if you don’t tick every box.
• We are a Circle Back Initiative Employer and commit to responding to every applicant.