Data Analytics Engineering Manager

Software Engineer (AI Tooling & Enablement) - Greenhouse; Sydney; Hybrid; AUD 150,000 - 190,000; Full time

Benefits offered by this job

Hybrid working

Talent development

Equity via Employee Share Program

Cross-functional collaboration

Job summary

hipages, Australia’s leading home improvement platform, is seeking a Senior Analytics Engineer to lead a small craft pod and scale our data capabilities. You’ll design end-to-end data models, mentor two analytics engineers, and collaborate with product, engineering and commercial teams to drive self-serve analytics.

Reporting to the Head of Commercial and Data Analytics, you’ll champion dbt, Databricks and Tableau, establish data standards, and deliver high-impact data products that inform

Qualifications

• Bachelor's degree required in a quantitative field.
• Experience architecting analytics platforms and data products.
• Hands-on experience with dbt, Databricks and Tableau is preferred.

Responsibilities

• Lead and mentor a team of analytics engineers.
• Define data contracts and enable self-serve analytics.
• Design and implement scalable data models and pipelines.
• Drive data quality, governance and performance improvements.

Skills

Data Modeling

Analytics Engineering

Leadership

Mentoring

CI/CD

Education

Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, Economics or related field

Tools

dbt

Databricks

Tableau

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.

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:

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.

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.

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.

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.

Why join our Data team?

• Hybrid working model
• 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 across Product, Engineering, Marketing and Commercial teams
• Hands-on learning opportunities and workshops for continuous upskilling

How you will add value:

Leadership & People Management

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.

Architectural & Technical Execution

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.

Delivery & Engineering Excellence

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.

About you:

Technical & Architectural

Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, Economics or a related quantitative q