HELP PEOPLE CREATE THEIR TOMORROW, WHILE YOU CREATE YOURS

We help people with their banking, super, retirement and finances. Through upturns, downturns, recessions, and major life transitions. Every day, we help people see and make more of their financial potential, so that they can create their tomorrow. And we’ve been doing it for over 175 years.
If we do our job well, we genuinely add to the prosperity of our country and its people.

READY TO CREATE YOUR TOMORROW?

If you’re someone who sees opportunity where others see challenge, come and work with us in smart, progressive ways as we transform an iconic Australian brand for the future. And, through a series of career-defining moments, create your own tomorrow.
Don’t procrastinate! We review applications when we get them, and if we discover the ideal candidate, we may close the role earlier than the advertised close date.
Looking forward to meeting you

• Previous experience in a data engineering, analytics or data scientist role
• Experience working with AWS Tech stack (S3, Athena, AWS Glue, Redshift)
• Extensive experience using relational databases and analytic tools to build data assets.
• Hands-on experience with Adobe Experience Platform (AEP), including Real-Time CDP, Data Ingestion, Data Prep, and/or Adobe Journey Optimizer
• Demonstrated expertise in the Adobe Experience Data Model (XDM), including hands-on experience modelling the customer using XDM Schemas, XDM Individual Profiles, and XDM Experience Events
• Strong understanding of identity mapping within AEP, and proven ability to troubleshoot and resolve profile collapse
• Experience with Adobe Data Distiller to perform post-ingestion data preparation for real-time customer profile and analytical use cases
• Ability to leverage Experience Platform APIs monitor dataflows within AEP
• Experience in data mining and exploration to understand relationships between data assets and systems, identify problems and come to a solution
• Proficient in building and managing complex data pipelines and integrations (batch and real-time)
• Experience defining testing and data quality programs
• Experience with API integrations, ETL/ELT tools, and customer data platforms
• Experience working with cloud storage systems, Azure, AWS S3 etc
• Experience building and maintaining Power BI Data modelsProven experience working and collaborating with IT delivery teams