Financial Data Engineer: Azure/Snowflake & Data Pipelines
Summary
A data engineer on the Business Insights and Data Integration team of a diversified financial services firm in Sydney builds data access layers, maintains QA'd datasets, and streamlines pipelines using Docker, deploying to virtual machines with SQL, Azure, Snowflake, and Python or R.
Our client is a diversified Financial Services business seeking an experienced Data Engineer to join its Business Insights and Data Integration team in Sydney, Australia. The role offers exposure to financial markets data, APIs and modern cloud practices.
You will partner with the business to define data product requirements, build data access layers, maintain datasets with QA, streamline pipelines using Docker, and deploy to Virtual Machines, leveraging SQL, Azure, Snowflake, and Python or R.