Analytics Engineer
Build the intelligence behind better Australian property decisions.
About Demografy
Demografy is revolutionising Australian property insights through data-driven intelligence. We're building the smartest suburb search platform in Australia, transforming complex property data into actionable insights for investors, homebuyers, and real estate professionals. By integrating data from Domain, realestate.com.au, ABS, and local government sources, we're helping Australians make confident property decisions backed by hard numbers, not hunches.
The Role
We're seeking an experienced Analytics Engineer to join our growing data team. You'll be instrumental in building and maintaining the data infrastructure that powers our suburb analytics platform, turning raw property and demographic data into the insights that drive smarter property decisions across Australia.
Key Responsibilities
Data Infrastructure & Pipeline Development
- Design, build, and maintain scalable data pipelines in Google Cloud Platform (GCP) using Dataform and BigQuery
- Develop efficient ETL/ELT processes to ingest data from multiple sources including ABS, Domain, realestate.com.au, and government databases
- Ensure data quality, reliability, and freshness across all pipelines with automated monitoring and alerting
- Optimise BigQuery performance and costs through effective partitioning, clustering, and query optimisation
Analytics & KPI Development
- Collaborate with product teams to define and implement key performance indicators for suburb growth tracking, livability scores, and investment metrics
- Design and calculate complex KPIs including capital growth projections, proximity indices, and demographic trend indicators
- Build reusable data models that support our Growth Heatmaps, Suburb Profiles, and Comparison features
- Develop statistical models to power our growth prediction algorithms
Geospatial Data Expertise
- Work extensively with ABS Statistical Areas (SA1-SA4) and other geographical divisions to ensure accurate suburb-level analytics
- Implement geospatial calculations for proximity analysis, catchment areas, and location-based features
- Maintain geographical data integrity across different boundary systems and updates
Data Visualisation & Product Development
- Create and maintain Looker dashboards and reports for internal stakeholders and client-facing analytics
- Partner with product managers and engineers to integrate analytics into our platform features
- Support the development of white-labelled reports for our Agency tier customers
- Enable self-service analytics for internal teams through well-documented data models
Cross-functional Collaboration
- Work closely with engineering teams to ensure smooth data integration into production systems
- Collaborate with product teams to understand user needs and translate them into data solutions
- Partner with customer success to understand how clients use our data and identify improvement opportunities
Required Skills & Experience
Technical Skills
- Strong proficiency in BigQuery: Advanced SQL skills, performance optimisation, and cost management
- Dataform expertise: Building and maintaining data transformation workflows
- GCP ecosystem: Experience with Cloud Storage, Pub/Sub, Cloud Functions, and IAM
- Deep understanding of Australian geographic data: ABS Statistical Areas, geographical divisions, and boundary systems
- Data visualisation: Proficiency in Looker for creating insightful dashboards and reports
- Programming: Python or similar for data processing and automation
- Version control: Git workflows and CI/CD practices
Analytics Experience
- 2+ years of experience in analytics engineering or similar data-focussed roles
- Proven track record of designing and implementing KPIs that drive business decisions
- Experience with statistical analysis and predictive modelling
- Understanding of data warehouse design patterns and dimensional modelling
Domain Knowledge (Preferred)
- Familiarity with Australian property market data and metrics
- Understanding of real estate investment calculations (yield, capital growth, etc.)
- Experience working with demographic and census data
Soft Skills
- Strong problem-solving abilities with attention to detail
- Excellent communication skills to explain complex data concepts to non-technical stakeholders
- Product-minded approach with focus on end-user value
- Ability to work autonomously whilst collaborating effectively in a remote-first environment
What We Offer
- Flexible, remote-first work environment
- Opportunity to shape the data infrastructure of Australia's leading property insights platform
- Work with cutting-edge data technologies and massive datasets
- Direct impact on product development and business strategy
Our Tech Stack
- Data Platform: Google Cloud Platform, BigQuery, Dataform
- Visualisation: Looker, custom React components
- Integration: APIs from Domain, realestate.com.au, ABS
- Infrastructure: Terraform, GitHub Actions
- Monitoring: Cloud Monitoring, custom alerting
How to Apply
Send your CV and a brief note about why you're excited about Demografy to info@demografy.com.au. Include links to any relevant projects, GitHub repos, or data visualisations you've created.
Demografy is committed to building a diverse and inclusive team. We encourage applications from people of all backgrounds, experiences, and perspectives.
Ready to join the team?
If you're passionate about data, property insights, and building something that matters, we'd love to hear from you.