Data Analytics Engineering Manager

💻 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

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

Technical & Architectural

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) and 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

Leadership & Strategic Execution

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

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

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