STAFF DATA ENGINEER

• You are passionate to stay ahead of the latest AWS Cloud, and Data Lake 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

SEE YOURSELF IN OUR TEAM:

You will be joining our CTO Data Engineering team. We are seeking passionate, cloud savvy, data engineers across diverse levels to help drive our commitments in our Data Strategy and achieve our vision for Commbank.data, a unified, world-class data platform enabling the next generation of AI (Artificial Intelligence) enabled applications.
You will collaborate with industry leaders to drive forward our mission of revolutionising the fintech landscape. As part of our team, you will be empowered to deliver world-class, competitive banking products and services with unparalleled levels of service and reliability.
We support our people with the flexibility to balance where work is done with at least half your time each month connecting in office. We also have many other flexible working options available including changing start and finish times, part-time arrangements and job share to name a few. Talk to us about how these arrangements might work for you.

TECHNICAL SKILLS:

This is a senior technical role, requiring a broad range of tools, languages, and frameworks. You will be a good match if you have previous experience in:

• Building data warehouses or data lakes.
• Proficient in SQL and DBT .
• Experience with AWS services such as Glue, Lambda, SageMaker, or EMR .
• Infrastructure as code using CloudFormation or Terraform (desirable)
• CI/CD tools (i.e. GitHub Actions).
• Familiarity with streaming technologies such as Apache Kafka, AWS Kinesis, or similar.
• Familiarity with visualisation tools such as PowerBI, Tableau or QuickSight.

• Building data warehouses or data lakes.
• Proficient in SQL and DBT .
• Experience with AWS services such as Glue, Lambda, SageMaker, or EMR .
• Infrastructure as code using CloudFormation or Terraform (desirable)
• CI/CD tools (i.e. GitHub Actions).
• Familiarity with streaming technologies such as Apache Kafka, AWS Kinesis, or similar.
• Familiarity with visualisation tools such as PowerBI, Tableau or QuickSight