Data Analytics Engineering Manager

<div> <p>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.</p> <p>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 <strong>Great Place to Work</strong> and <strong>WORK180’s #1 Employer for Women</strong>. At hipages, you’ll find real impact, career growth and a workplace where everyone belongs.</p> <p> </p> <p><strong>About the role:</strong></p> <p>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.</p> <p>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.</p> <p>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.</p> <p>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.</p> <p> </p> <p><strong>Why join our Data team?</strong></p> <ul> <li>💻 Hybrid working model  </li> <li>🪴 In-house Talent Development team to prioritise personal and career growth  </li> <li>💰 Competitive salary, benefits and perks, plus equity via our Employee Share Program  </li> <li>🤸 Cross-functional collaboration across Product, Engineering, Marketing and Commercial teams  </li> <li>🧑‍🏫 Hands-on learning opportunities and workshops for continuous upskilling  </li> </ul> <p> </p> <p><strong>How you will add value:</strong></p> <p><em>Leadership & People Management</em></p> <ul> <li>Lead, mentor, and line-manage a team of 2 Analytics Engineers, fostering a culture of technical excellence, continuous learning, and open collaboration.</li> <li>Shape analytics engineering practices across hipages, establishing standards for reproducibility, observability, style guides, and contributions to our data handbook.</li> <li>Educate data teams and broader business stakeholders on analytics engineering best practices and self-serve capabilities.</li> </ul> <p><em>Architectural & Technical Execution</em></p> <ul> <li>Serve as the primary advocate for dbt while providing technical leadership throughout the Databricks and Tableau BI landscape</li> <li>Architect, design, and implement scalable, high-performance data models in dbt and Databricks in close collaboration with Data Analysts and Data Engineers</li> <li>Define, establish, and enforce<strong> </strong>data<strong> </strong>contracts<strong> </strong>between software engineering producers and downstream data models to eliminate breaking upstream schema changes</li> </ul> <p><em>Deliv…