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About the Role
hipages is seeking an Analytics Engineer to support the marketplace by developing analytics engineering capabilities. This role involves creating immense value for the business, contributing to commercial strategy, and discovering new ways of operating in data modeling and business intelligence. You will design and support the deployment of end-to-end data models and products, and maintain internal analytics capabilities within the data platform. This role is crucial for scaling current data architecture and capabilities on DBT, Databricks, and Tableau to enable self-service analytics. Reporting to the Head of Commercial and Data Analytics, this senior, hands-on role leads a craft pod of three analytics engineers and acts as the technical authority on data design.
Responsibilities
- 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.
- Educate data teams and broader business stakeholders on analytics engineering best practices and self-serve capabilities.
- Serve as the primary advocate for dbt while providing technical leadership throughout the Databricks and Tableau BI landscape.
- Architect, design, and implement scalable, high-performance data models in dbt and Databricks in close collaboration with Data Analysts and Data Engineers.
- Define, establish, and enforce data contracts between software engineering producers and downstream data models to eliminate breaking upstream schema changes.
- Apply modern software engineering best practices (CI/CD, Git version control, automated testing) to iteratively deliver reliable data products and platform capabilities.
- Drive end-to-end data quality, governance, SLAs, and consistency across our analytics and data science ecosystem.
- Identify operational bottlenecks, optimize query execution, and streamline data pipelines to enhance overall system performance.
- Oversee comprehensive documentation of data architecture, pipeline lineage, and analytical workflows.
Requirements
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Physics, Economics or a related quantitative qualification or relevant equivalent experience.
- Advanced SQL with deep experience designing and building scalable data architectures (Kimball dimensional modeling, Data Vault, etc.).
- Hands-on mastery of dbt (Data Build Tool).
- Strong experience with enterprise cloud platforms (AWS, GCP, or Azure).
- Hands-on experience defining, enforcing, or implementing Data Contracts to manage producer-consumer interfaces.
- Proven experience developing and governing semantic layers in AI and BI tools like Tableau.
- Proven capability to manage direct reports, work independently, and drive cross-functional alignment with excellent communication and conflict-resolution skills.
- Comfortable navigating ambiguity, managing priorities, and delivering iterative value in a fast-paced environment.
- Passionate about data culture, with a proven ability to translate complex data structures into clear, actionable narratives for technical and non-technical stakeholders.
- Exposure to two-sided marketplace dynamics, network metrics, or high-velocity event-driven data ecosystems.
- Experience partnering with Data Science teams to build feature stores, orchestrate pipelines (e.g., Airflow, Databricks Workflows), or support ML model deployments.
- Interest or experience in shaping data for AI/LLM consumption.
Skills
- dbt (Data Build Tool)
- Databricks
- Tableau
- AWS
- GCP
- Azure
- Data modeling
- Business intelligence
- Data architecture
- SQL
- CI/CD
- Git version control
- Automated testing
- Data quality
- Data governance
- Data pipelines
- Semantic layers
- Airflow
- Databricks Workflows
Location
- Australia
- New Zealand
- Philippines
- Vietnam
- Sydney CBD
Work Type
- Hybrid working model
- Full-time
Experience Level
- Senior
- Lead
Education Level
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Physics, Economics or a related quantitative qualification or relevant equivalent experience
Salary/Compensations
- Competitive salary
Benefits
- Equity via Employee Share Program
- In-house Talent Development team
- Cross-functional collaboration
- Hands-on learning opportunities and workshops
- Extra leave for birthdays, volunteering, and more
- Healthy snacks, continental breakfast and fresh fruit
- Tailored growth support, mentoring and stretch projects
- Vibrant social scene
About the Company
- hipages is an ASX-listed tech company and Australia’s #1 digital platform connecting households with trusted home improvement businesses.
- The company's mission is to transform the home improvement industry to build better lives for everyone.
- hipages has teams across Australia, New Zealand, the Philippines and Vietnam.
- hipages is a certified Great Place to Work and WORK180’s #1 Employer for Women.
- hipages offers real impact, career growth and a workplace where everyone belongs.
Equal Opportunity
- At hipages, innovation and collaboration thrive in diverse and inclusive teams.
- We don’t expect you to know everything - we care more about who you are as a person, a team member, and a leader.
- We’re proud to be endorsed by WORK180 for supporting women’s careers and we value diversity across culture, age, gender identity and sexual orientation.
- Research shows that men often apply when they meet just 60% of the criteria, while women and minority groups wait until they tick every box. If you think you’d be a great fit - even if you don’t meet every requirement - we’d love to hear from you.
- We’re also a Circle Back Initiative Employer, which means we commit to responding to every applicant.