About us Sportsbet's purpose is to bring excitement to life for its customers and we do this by overdelivering on excitement through serious fun, disrupting the status quo and living our values. We're a flexible, progressive, open-minded, and inclusive employer with over 7000 cool, clever and curious people around the world. We're a global player, but in Melbourne, Sydney and Darwin we're tight knit, with 800 of us bringing excitement to life every day. Our commitment to responsible gambling is genuine and demonstrated through the wide range of responsible gambling initiatives and tools - take a look: https://responsiblegambling.sportsbet.com.au/hc/en-us About The Role The Data Engineer is a key role within Data Platforms, responsible for delivering innovative and sustainable data driven solutions to provide Sportsbet a competitive advantage in the market. This is an exciting opportunity support our Data Modernisation initiative, delivering the target state data and ML platforms, along with delivering key components back into our international Flutter brands for wider use. Analyse and question business requirements. Actively contribute to the solution design. Accurately estimate effort and hold yourself and others accountable for delivery. Develop high quality, high-performing code which meets the business need. Continuously improve our platforms/services with each release - new initiatives are an opportunity to deliver faster than last time. Optimise platforms/solutions to ensure we support our service levels and minimise spend. Identify gaps and implement best practices across operational processes, DevOps, deployments etc. Develop and socialise patterns and standards for use across the organisation. Automate processes wherever possible. Innovate and challenge the status quo by introducing new ideas and concepts to the team. About You We are looking for somebody who is highly motivated, delivery-focused and passionate about working with our stakeholders. You have high attention to detail, are commercial in approach and thrive in a fast-paced agile environment 5 years of development experience in a cloud first, data centric organization. Experience in building and maintaining solutions running in production environments at scale. Exposure to ML concepts and delivery. Good understanding and experience in measuring and designing for non-functionals, like cost, reliability, availability, security and performance Strong understanding and experience designing, implementing and working in MLOps platforms Strong experience with AWS technologies (particularly Glue, S3, IAM, Redshift,Lambda, SageMaker, Cloud Formation) Strong experience with CI/CD platforms and pipeline deployments patterns (Jenkins, Ansible, Shell Scripting, Unit / Integration Testing, Performance testing) Experience developing software/models in Python and Spark. Strong Understanding of ML Model development lifecycle. Exposure to Data Modelling (primarily Data Vault) knowledge is desirable Ideally you will have experience with: A clear understanding of systems analysis, component-based system design and modern DevOps/MLOps development principles Understanding of the full Model development life cycle and supporting methodologies Consulting and presenting information to different audiences. Fast paced agile based environment Test-driven development techniques Continuous Integration / Continuous Delivery We're a flexible, progressive, open-minded, and inclusive employer who welcomes you for who you are, as you are. If this all sounds good, then we can't wait to connect with you… so please apply now