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 paid secondary caregivers leave and Flexible working arrangements, including part-time options. Hybrid working - combining the flexibility of remote work with the energy and connection of Flexibility and a range of policies and leave options to support your wellbeing. A place where you can move your career forward, continuously backed to make new ideas happen. Proudly recognised as one of Australia's Best Workplaces by Great Place to Work, a Family Friendly