Senior Data Analytics Engineer

We’re hipages, Australia’s #1 digital platform connecting homeowners with trusted tradies. As an ASX-listed tech company, we're on a mission to transform the trade industry and improve lives.

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:

As a Senior Data Analytics Engineer, you’ll build and scale analytics capabilities that power the hipages marketplace, shaping data models, products and BI foundations that drive smarter commercial decisions across the business.

Why join our Data Analytics team?

• Hybrid working model: 50% work from home
• 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
• Hands-on learning opportunities and workshops for continuous upskilling

You’ll add value by:

• Championing dbt and modern analytics engineering practices at hipages
• Designing and building end-to-end data models and pipelines using dbt and Databricks
• Partnering with Data Analysts and Data Engineers to scale analytics use cases
• Evolving our BI environment, analytics codebase and data products
• Driving data quality, consistency and observability across the data ecosystem
• Educating teams on analytics engineering best practices and ways of working

About You:

You’re passionate about data, enjoy solving complex problems and care about building things the right way. You’ll bring:

• High-level hands-on experience with dbt and advanced SQL
• Experience with Data Visualisation tools like Tableau
• Experience with Data Lineage tools (i.e. Datahub, Alation)
• The ability to communicate clearly with technical and non-technical stakeholders
• A collaborative mindset, with confidence to lead and work independently
• Curiosity, adaptability and a desire to continuously improve how data is used

Nice to have:

• Experience in a marketplace or digital-native environment
• Exposure to Databricks, Spark, Python or data visualisation tools
• Knowledge of semantic modelling, data contracts or data lineage tools
• Experience working with cloud platforms such as AWS, GCP or Azure
• Proven data modelling expertise (e.g. Kimball, Data Vault or similar)

Life at hipages: 

We’re more than just a workplace. We’re a place where you can be yourself, do great work and grow your career. Recognised as a Great Place to Work, our inclusive, supportive culture helps people thrive.

You’ll use the best tools and tech, with real impact on our products and customers. We invest in your development and lead with coaching, not micromanagement – it’s why 85% of our team say their leader is great.

And there’s more:

• Diverse, collaborative teams that love solving problems
• Agile squads, hackathons, off-sites and roadshows
• Extra leave for birthdays, volunteering, and more
• Healthy snacks, continental breakfast and fresh fruit
• Sydney CBD office near Town Hall and Gadigal Stations
• Tailored growth support, mentoring and stretch projects
• A vibrant social scene - we work hard and have fun doing it

We prioritise Diversity:

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.

#LI-JL1 #LI-Hybrid