Data Engineer

📋 Description

• Develop and maintain data ingestion pipelines and ETL/ELT processes
• Build and maintain API-based and other data integrations
• Write and optimise SQL queries and views for relational data transformation
• Use Python to process data and automate recurring preparation activities
• Interpret existing schemas and maintain structured data models
• Contribute to data processing and transformation within Databricks

🎯 Requirements

• Hands-on experience across data engineering, data preparation and report development
• Strong SQL skills, including queries, joins, transformations and views
• Sound understanding of relational databases, schemas, data flows and data modelling
• Experience developing dashboards, reports and visualisations using an established BI platform
• Ability to translate business requirements into data preparation, reporting logic and meaningful
• Practical troubleshooting experience across data pipelines, reporting and data quality

🎁 Benefits

• Get paid in Australian Dollars
• Medical insurance from day one for you + spouse (or parents if unmarried)
• Generous OPD coverage from doctor visits to all your medical needs
• Home office setup allowance to build your ideal workspace
• Internet allowance to keep you connected
• Gym & wellness allowance to stay fit and balanced