🛠 Tech Stack

💼 About This Role

You'll be the backbone of our data infrastructure, building pipelines, models, and dashboards that power decisions across the business. You'll work closely with Data Scientists, Product, and GTM teams to transform raw data into reliable, scalable assets. This is a high-impact role for someone who thrives in a fast-moving environment.

🎯 What You'll Do

• Build and maintain feature marts for ML pipelines.
• Design and implement data transformations using DBT.
• Create datasets for self-service analytics across teams.
• Develop dashboards and reports in QuickSight.

📋 Requirements

• 3-5 years of experience in analytics engineering or similar.
• Strong SQL skills with complex queries and large datasets.
• Experience with DBT for data modeling and transformations.
• Experience with AWS data services (Redshift, Athena, S3).

✨ Nice to Have

• Experience in e-commerce or SaaS environments.
• Familiarity with ML feature engineering and productionization.
• Experience with data orchestration tools (Airflow, Dagster).

🎁 Benefits & Perks

• 🏖️ Remote work within Australia.
• 👶 12 weeks of Paid Family Leave at 100%.
• 💻 Office stipend setup.
• 📚 Training and development opportunities.
• 🏖️ 4 weeks annual leave plus public holidays.