Data Engineer

📋 Description Build ELT pipelines for enterprise data across lending, product, analytics. Evolve data architecture: schema design, metadata, governance via Unity Catalog. Apply data quality and consistency standards across pipelines and systems. Manage and optimise databases, including query tuning and storage performance. Partner with analysts, data scientists and engineers to translate requirements into data products. Develop modular, reusable scripts and tools for automation and scalability. Identify AI-augmented data workflows that scale analytics across the business. 🎯 Requirements 3-5 years experience in data engineering or related role Hands-on ELT pipelines with Azure Data Factory and Azure Databricks Strong SQL and Python skills, including query optimisation and transformations Working knowledge of dimensional modelling, Delta Lake and medallion architecture Experience with Azure SQL Database, Azure Data Lake Storage Gen2 and Azure Key Vault Experience automating workflows using Azure Functions and CI/CD pipelines in Azure DevOps Comfortable using AI coding assistants (GitHub Copilot, Claude) to accelerate work 🎁 Benefits Collaborative teams with a flat structure for learning from colleagues and leaders Be involved with colleagues every 100 days to share roadmap and strategy Flexible working environment with North Sydney HQ and flexible policy Family support with 26 weeks paid parental leave Office spaces designed for collaboration and focused work Wellbeing benefits, including a day off on your birthday and great facilities