The Role:
We’re on the hunt for an experienced Data Engineer to join a fast-paced, collaborative Technology team based in Brisbane. Reporting to the Head of Data Analytics, you’ll play a key role in designing, building and managing data pipelines and infrastructure that power critical business intelligence and analytics outcomes.
You’ll work closely with analysts, internal stakeholders and external vendors to develop scalable, reliable and high-performing data solutions. You’ll be responsible for managing complex data integrations, supporting enterprise-wide reporting and ensuring data quality, governance, and security across systems.

Key Responsibilities:

• Design and implement robust ETL pipelines and data infrastructure
• Perform data modelling, mining, validation and transformation
• Build and maintain data warehouses, lakes, and integration solutions
• Collaborate with internal teams to understand and apply changes to data repositories
• Support BI, reporting, machine learning model deployment and data governance
• Monitor systems performance and proactively resolve issues
• Write complex SQL queries and support data migrations

• Strong experience in data engineering, architecture and integration
• Proficient in developing ETL pipelines from RDBMS and flat file sources (CSV, Excel, JSON, XML)
• Skilled in relational and dimensional data modelling
• Hands-on with cloud data solutions such as Azure Data Factory, Databricks, Microsoft Fabric, Snowflake
• Strong programming skills in R, Python or C#
• Solid understanding of SDLC and software development practices
• Excellent communication and stakeholder engagement skills
• Financial services / funds management experience preferred
• Analytical, detail-oriented and solutions-focused mindset