Over 30 years, we've grown from humble beginnings (founded 1995) to a global digital lottery technology leader (ASX: JIN), operating in Australia, the UK, Canada and the USA. We partner with thousands of good causes worldwide, helping raise over $290M in FY25 alone. Innovation is at the heart of everything we do.

Our Growth – And It's By Design

Following a series of significant client wins and the expansion of our business through international acquisitions, we're in an exciting phase of growth. To support this momentum, we're scaling our engineering capability and building out our teams to meet increasing demand across our platforms and products.

This growth is driven by a deliberate investment ahead of demand as we support a larger, more complex, and increasingly global business. We're expanding our teams to continue delivering high-quality, scalable solutions.

For engineers joining us, this is a chance to work on meaningful problems at scale—from supporting new clients and markets, to integrating and evolving acquired platforms, to helping shape how our platform will grow over time. You'll be joining a business with real momentum, plenty of opportunity to make an impact, and the chance to grow alongside it.

What will you be doing?

You’ll lead a team of data engineers who design, build, and maintain the data infrastructure that powers marketing performance, strategy, and data-driven decision-making across Jumbo. You’ll own the delivery of scalable data architectures and automated pipelines, ensuring our data stack is robust, secure, and optimised for both cloud and on-premise environments.

You’ll work closely with Analytics & Insights and other leaders across the business to turn data requirements into practical solutions that support reporting, analytics, AI, and data science initiatives. Balancing hands-on technical involvement with leadership, you’ll set direction, champion best practices in data engineering and governance, and create an environment where your team can innovate, grow, and continuously improve.

What Your Day-to-Day Will Look Like

• Lead, coach, and support a team of data engineers, fostering a culture of best practices, innovation, and continuous improvement.

• Design, build, and maintain scalable, secure, and efficient data architectures and automated pipelines across cloud and on‑premise environments

• Develop and optimise dbt models and data marts, ensuring reliable and repeatable deployments through automated CI/CD processes.

• Implement and uphold data quality, governance, and security standards to ensure accuracy, compliance, and reliability of data assets.

• Collaborate closely with Analytics & Insights, Product, Marketing, and Engineering teams to understand data requirements and deliver a fit‑for‑purpose solution.

• Build and maintain reporting and respond to ad hoc data requests that support operational and strategic decision-making.

• Communicate complex technical concepts clearly to both technical and non‑technical stakeholders, enabling informed business decisions.

• Implement automated monitoring and alerting to ensure platform performance, proactively identify issues, and drive high availability of data service.

• Stay across industry trends and emerging technologies in data engineering, advocating for and driving the adoption of best practices within the team and wider organisation.

• Create and maintain clear documentation for data processes, architectures, and workflows to support transparency, onboarding, and knowledge sharing.

What You’ll Be Able to Bring to the Role

• Proven experience as a data engineer (3+ years), including at least 2+ years in a technical leadership or people-lead role

• Track record designing, building, and maintaining modern data architectures and pipelines in cloud environments

• Deep understanding of contemporary data engineering concepts, patterns, and technologies

• Solid knowledge of data governance, data quality, and data security best practices

• Proficient in: Bash, SQL, Python, Spark, dbt (including transforming data into user-friendly marts and optimising projects)

• Demonstrated ability to lead, mentor, and coach data engineers, fostering best practices and continuous improvement.

• Experience driving delivery, managing stakeholder expectations, and building strong relationships across business and technical teams

• Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders

• High level of initiative, with a focus on proactively identifying opportunities for improvement and driving change

• Excellent attention to detail, ensuring accuracy and quality across data solutions and documentation

• Collaborative and adaptable working style, comfortable operating in a fast-changing environment

• Commitment to continuous learning and staying current with industry trends, emerging tools, and best practices in data engineering

Salary Banding: $160,000 - $180,000 + Super

Our Ways of Working

At Jumbo, we value balance and flexibility. Based in Brisbane and working out of our Head Office, our hybrid working model combines in-office collaboration (three days per week) with WFH work (two days per week). We also offer flexible working hours, with core collaboration times from 10 AM to 2 PM, allowing you to design a schedule that suits your life.

Why Join Jumbo?

Find Your Freedom - https://bit.ly/Jumbointeractive

At Jumbo, our team thrives because we invest in our people. Here’s what you can expect from us;

• A short-term incentive program that rewards your contributions, dependent on company performance.

• Access to our Employee Assistance Program, providing counselling and coaching.

• Award-winning talent management programs for career growth and skill-building.

• On-site chefs (Brisbane) offering fresh, gourmet lunches daily and breakfast twice a week.

• The freedom to work from almost anywhere in the world for up to 120 days a year.

• A social culture, with activities like lunchtime chess, corporate games, soccer, Friday socials, and events celebrating diversity and inclusion.

• Generous parental leave: 14 weeks of paid leave for primary carers and 4 weeks for partners.

Candidates who are offered a position will be required to complete pre-employment checks through our partner, Checkmate.

We are a 2026 Circle Back Initiative Gold Employer – we commit to responding to every applicant.