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.