Overview
Sydney | Permanent | $100,000 – $130,000 + Super
Role Overview
Join a Tier 1 major bank as an AWS Data Engineer (Junior–Mid Level), supporting the build and operation of scalable data platforms on AWS.
You'll work with Python, PySpark and AWS Glue to deliver reliable, production-grade data pipelines within a strong engineering-led environment.
This is an excellent prospect for someone with 2–5 years' experience looking to grow their cloud data engineering capability in a large enterprise setting.
Responsibilities
Build and maintain data pipelines using Python and PySpark.
Develop and support workflows in AWS Glue and Airflow.
Write clean, testable and maintainable code.
Implement data quality and testing controls.
Monitor, troubleshoot and optimise data jobs.
Support CI/CD and DevOps practices.
Collaborate with product, platform and QA teams.
Mandatory Skills




Commercial experience withPython
Hands-onAWSexperience (ideally AWS Glue)
Understanding of core data engineering concepts
Experience & Capability
2–5 years' experience in data or software engineering
Experience building or supporting cloud-based data pipelines
Exposure to CI/CD and version control
Understanding of production support and monitoring
Strong analytical and problem-solving skills
Nice to Have
Exposure to Redshift, Athena, EMR or Iceberg
Experience with Airflow
API or event-driven integration experience
If you're looking to develop your AWS data engineering career within a Tier 1 banking environment, we'd love to hear from you.
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