Data Engineer - Funds Management
Summary
Data engineer in the analytics team of a Sydney multi-asset fund manager, working with investment data: building and maintaining automated ETL pipelines, ensuring data quality, troubleshooting failures, and shipping Dockerised jobs to VMs. Core stack includes SQL/MS SQL, Azure, Snowflake, and Python or R.
Salary: $130K - 140K + Super + Bonus
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.