Data Platform Engineer

📋 Description

• Build and maintain core data pipelines: Design and operate reliable, business-ready data models and
• Scale our data platform: Contribute to the design and operation of AWS-based data infrastructure
• Strengthen orchestration and reliability: Help build and evolve our Dagster-based orchestration
• Enable self-service analytics: Deliver high-quality foundational datasets and tooling that improve
• Improve data quality and trust: Apply software engineering best practices (CI/CD, testing
• Collaborate and automate: Work closely with analysts, data scientists, and engineers, and use

🎯 Requirements

• Solid understanding of the data lifecycle, from ingestion through to analysis and consumption
• Strong SQL skills for data modelling, transformation, and analysis
• Hands-on experience using dbt in a professional or personal project setting
• Familiarity with software engineering principles, including version control, testing, and CI/CD
• Experience using Python for scripting, automation, or data manipulation
• Ability to understand business problems and translate them into clear data models and pipelines

🎁 Benefits

• Hybrid working - choose the environment that helps you do your best work
• Airtime - no Slack and meeting-free Fridays for dedicated focus time
• Recharge days - 4 additional days of leave per year for self-care
• Wellbeing support - Employee Assistance Program with access to GPs, dieticians, counselling and
• Airpowerment Fund - $200 allowance for health & wellbeing
• Airtasker credits - $1000 worth of credits every year