Staff Data Engineer (aws Cloud And Ai)

Bonneville Bank

Sydney, Australia
On-site
Aws cloud
Gen ai
Data lake
Build state-of-the-art data solutions that power seamless experiences for millions of customers

Job Summary

  • Build state-of-the-art data solutions that power seamless experiences for millions of customers.
  • Drive innovation through Digital and Gen AI platforms that empower our Business Bank customers.
  • Deliver end-to-end solutions that meet business needs and minimise risk.

Matching Summary

Build state-of-the-art data solutions that power seamless experiences for millions of customers.

Skills & Requirements

Must-have

  • AWS Cloud
  • Gen AI
  • Data Lake
  • Data Mesh
  • Python
  • PySpark
  • Scala
  • AWS data platforms (Glue, Lambda, Redshift, Athena, Kinesis, EMR)
  • Data Governance & Security
  • Automation & CI/CD
  • Performance Optimisation

Nice-to-have

  • AI-first solutions
  • Strong learning mindset
  • Collaborative environments
  • Quality, openness, continuous improvement
  • Data monetization strategies
  • Data product thinking
  • AI Powered coding Assistants

Key Requirements

  • AWS Certified Data Engineer Associate
  • Demonstrable experience in Data Engineering
  • Experience with Snowflake, or Apache Iceberg
  • Experience with AWS DataZone, Lake Formation, IAM, encryption
  • Experience with Terraform, CloudFormation, GitOps, and serverless frameworks

Work Rights

Not specified

Tailored Resume

Cover Letter