- You are determined to stay ahead of the latest Big Data , Ab Initio and Datawarehouse technologies
- We're one of the largest and most advanced Data Engineering teams in the country
- Together we can build state-of-the-art data solutions that power seamless experiences for millions of customers
Do work that matters
As an experienced data engineer with proven expertise in software development and a passion for providing data-driven solutions, you're ahead of trends and work at the forefront of Big Data, ML, Decisioning, Visualisation and Data warehouse technologies.
Which is why we're the perfect fit for you. Here, you'll be part of a team of engineers going above and beyond to improve the standard of digital banking. Using the latest tech to solve our customers' most complex data-centric problems.
To us, data is everything. It is what powers our cutting-edge features and it's the reason we can provide seamless experiences for millions of customers from app to branch.
See yourself in our team
We're responsible for CommBank's key analytics capabilities and work to create world-leading capabilities for analytics, information management and decisioning. We work across the Teradata Group Data Warehouse, Hadoop Big Data Platform, Ab Initio.
We are interested in hearing from people who:
- Are comfortable working across the full lifecycle of agile projects (ideation through implementation)
- Are happy working as an individual contributor that pushes our analytics platforms forward, delivering increasing levels of self-service, automation and reduced operational risk
- Have an excellent understanding of data structures including time variant and dimensional models, algorithms, operating systems, and/or distributed systems.
- Have experience in implementation of data platforms at Enterprise level
- Have previously conducted Research and Development of new distributed computing technology
- Are highly experienced in design and development of Big Data , Ab Initio and Data warehouse applications
- Are confident in leading and guiding in building group data products from scratch, by integrating large sets of data from hundreds of internal and external sources
