Senior Data Engineer - Data Platform & Engineering

📋 Description

• Own the reliability, quality, and evolution of a significant portion of our data platform, built on
• Lead performance tuning and cost optimisation across our Snowflake environment - query profiling
• Design model architecture in dbt Cloud, enforce testing standards, and guide the team on
• Architect scalable, fault-tolerant data pipelines and define standards for error handling
• Act as a technical representative for DPE with product, commercial, and analytics stakeholders
• Own significant platform domains and act as the escalation point for incidents within them -

🎯 Requirements

• Deep expertise in SQL and Snowflake - clustering, pruning, warehouse sizing, result caching
• Expert-level dbt Cloud experience - model architecture, testing standards, incremental strategies
• Strong Python engineering practices - production-grade, testable, maintainable code for pipeline
• Proven experience with event-driven and messaging architecture (RabbitMQ or equivalent) - exchange
• Solid Postgres experience in a production pipeline context - indexing, query optimisation, MVCC
• Working proficiency in .NET / C# is a plus - comfortable reading, triaging, and maintaining

🎁 Benefits

• 24 weeks paid parental leave for primary caregivers, four weeks for secondary caregivers, and six
• Regular hackathons, continuous learning opportunities, and wellbeing initiatives that support
• Hybrid working arrangements combining remote work with in-person collaboration.
• Recognition as one of Australia’s Best Workplaces™ by Great Place to Work®, a Family Friendly