Data Engineer

The Opportunity 

Global X ETFS is hiring a Data Engineer (Snowflake) to join our Technology team on a 12month full-time contract, based on-site in Sydney CBD. You’ll work hands-on with our Snowflake data warehouse, building the data pipelines and models that power BI reporting and operational automation. This role offers the opportunity to take ownership of meaningful work in a small team, with support and guidance from the Technology & AI Lead. Strong performers will be considered for permanent roles at the end of the contract. 

Global X ETFs Australia is a member of Mirae Asset Group, with a growing range of cost-effective and innovation-led ETF products. For more than a decade, our mission has been empowering investors with unexplored and intelligent solutions. 

What you’ll do 

• Design, build and maintain ELT pipelines and data models in Snowflake using SQL and Python 
• Develop BI-ready data layers (dimensional models/semantic layers) feeding Power BI dashboards
• Build and optimise database objects in Snowflake and PostgreSQL (schemas, views, tasks/streams, performance tuning)
• Integrate with external data providers via SFTP, RESTful APIs and other protocols (index providers, fund administrators, market data vendors) 
• Support and enhance Azure data services (Data Factory, Function Apps, Logic Apps) within the broader data platform 
• Support business automation initiatives using Microsoft 365 tools such as Power Automate and SharePoint 
• Troubleshoot data quality issues; contribute to documentation, testing and CI/CD workflows
• Collaborate with stakeholders across product, operations and finance to deliver outcomes 

What we’re looking for 

• 1–3 years’ experience in data engineering, analytics engineering or a related field
• Strong SQL and Python skills for data pipeline development
• Experience with relational databases (PostgreSQL preferred) and writing performant SQL
• Familiarity with file-based ingestion patterns (SFTP, scheduled file transfers)
• Proficiency with Git/GitHub and CI/CD fundamentals
• Strong problem-solving, attention to data quality, and clear documentation habits
• Confident communicator who collaborates well and knows when to seek guidance 

Desirable 

• Experience with Snowflake (or BigQuery/Redshift/Databricks)
• Azure data services experience (Data Factory, Function Apps, Logic Apps)
• ELT tooling exposure (dbt is a plus) and dimensional modelling concepts
• Power BI support experience
• RESTful API integration experience
• Background in financial services/fintech or other regulated environments
• Interest in ETFs, financial markets or investment products
• Comfort using AI-assisted development tools (e.g., GitHub Copilot, Claude Code) 

Apply now via LinkedIn. Include your CV and a short summary of your Snowflake/SQL/Python experience.