Our client is a diversified multi-asset fund manager offering products and strategies across Global and Australian equities. They are seeking a Data Engineer to join the analytics and insights team team, gaining exposure to investment data, APIs and modern cloud practices.

Key deliverables in the role: 

• Extract, transform, and load (ETL) datasets from multiple sources

• Monitor and maintain datasets, ensuring quality and integrity through robust QA processes.

• Streamline automated data pipelines, build Docker images and distribute to Virtual Machines.

• Oversee system processes, troubleshoot issues, and resolve failures promptly.

• Redesign and implement processes in line with evolving business needs.

Skills & Experience:

• 3-5 years' experience in a Data Engineering / Analyst role, with competency in SQL and data warehousing / MS SQL, Azure and Snowflake.

• Strong programming background (Python and/or R).

• Any exposure to Finance or Regulatory Reporting teams is highly regarded

If this sound like you, please apply through the link provided. Successful candidates will be shortlisted and contacted.