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.
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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.
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About the role:
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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.
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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.
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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.
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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.
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Why join our Data team?
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Hybrid working model
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In-house Talent Development team to prioritise personal and career growth
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Market-competitive salary, benefits and perks, plus equity via our Employee Share Program
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Cross-functional collaboration across Product, Engineering, Marketing and Commercial teams
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Hands-on learning opportunities and workshops for continuous upskilling
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How you will add value:
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Leadership & People Management
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Lead, mentor, and line-manage a team of 2 Analytics Engineers, fostering a culture of technical excellence, continuous learning, and open collaboration.
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Shape analytics engineering practices across hipages, establishing standards for reproducibility, observability, style guides, and contributions to our data handbook.
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Educate data teams and broader business stakeholders on analytics engineering best practices and self-serve capabilities.
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Architectural & Technical Execution
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Serve as the primary advocate for dbt while providing technical leadership throughout the Databricks and Tableau BI landscape.
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Architect, design, and implement scalable, high-performance data models in dbt and Databricks in close collaboration with Data Analysts and Data Engineers.
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Define, establish, and enforce data contracts between software engineering producers and downstream data models to eliminate breaking upstream schema changes.
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Delivery & Engineering Excellence
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Apply modern software engineering best practices (CI/CD, Git version control, automated testing) to iteratively deliver reliable data products and platform capabilities.
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Drive end-to-end data quality, governance, SLAs, and consistency across our analytics and data science ecosystem.
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Identify operational bottlenecks, optimize query execution, and streamline data pipelines to enhance overall system performance.
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Oversee comprehensive documentation of data architecture, pipeline lineage, and analytical workflows.
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About you:
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Technical & Architectural
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Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, Economics or a related quantitative q

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