Data Analytics Engineering Manager

Job description

Hi! We’re hipages, an ASX-listed tech company and Australia’s #1 digital platform connecting households with trusted home improvement businesses. We're on a mission to transform the home improvement industry to build better lives for everyone. With teams across Australia, New Zealand, the Philippines and Vietnam, we work as one team with a shared purpose. We’re proud to be a certified Great Place to Work and WORK180’s #1 Employer for Women . At hipages, you’ll find real impact, career growth and a workplace where everyone belongs. About the role: You'll play a crucial role in supporting the hipages marketplace by developing our analytics engineering capabilities. Working alongside a talented data team to create immense value for the business and contribute to the development and execution of hipages' commercial strategy. Your experience and expertise will help us discover new ways of operating in the world of data modelling and business intelligence. You'll design and support the deployment of end-to-end data models, data products as well as develop and maintain internal analytics capabilities within our data platform. This role is vital in scaling our current data architecture and capabilities on DBT, Databricks and Tableau to enable self-service analytics. This role will be reporting into the Head of Commercial and Data Analytics giving that mentorship and executive buy-in to ensure this role is a success. This is a senior, hands-on role leading a craft pod of three analytics engineers, yet setting direction across a much wider community, acting as the technical authority on what "good" data design looks like. Why join our Data team? 💻 Hybrid working model 🪴 In-house Talent Development team to prioritise personal and career growth 💰 Competitive salary, benefits and perks, plus equity via our Employee Share Program 🤸 Cross-functional collaboration across Product, Engineering, Marketing and Commercial teams 🧑‍🏫 Hands-on learning opportunities and workshops for continuous upskilling How you will add value: Leadership & People Management Lead, mentor, and line-manage a team of 2 Analytics Engineers, fostering a culture of technical excellence, continuous learning, and open collaboration. Shape analytics engineering practices across hipages, establishing standards for reproducibility, observability, style guides, and contributions to our data handbook. E…