AWS Data Engineer

Job Description

Cloud Data Engineer (AWS, Glue, PySpark)

• Location: Sydney or Melbourne (Hybrid)
• Salary: $150k – $180k + super

Join a Leading Force in Data-Driven Innovation

A major Australian bank is embarking on an ambitious journey to reinvent its data and analytics capabilities as it strives to become the most advanced AI-driven bank in the world. You’ll be at the forefront of this transformation, joining a team that’s reshaping how data is collected, processed, and leveraged at scale.

This is a chance to work directly with both business and technology leaders, driving real impact across one of the country’s most influential financial institutions.

Benefits

• Work from home flexibility in Sydney or Melbourne
• Be part of one of Australia's most innovative banking transformation projects
• Work on high-impact, large-scale data initiatives
• Competitive salary package and superannuation
• Collaborate with forward-thinking teams using the latest AWS technologies

Key Requirements

• 8+ years of hands-on experience in AWS data engineering
• Expertise with AWS services: Glue, Redshift, EMR Serverless, DataZone, S3, Aurora PostgreSQL
• Strong programming skills in PySpark, Python, and SQL
• Experience with CI/CD tools (GitHub, Jenkins) and infrastructure-as-code (CloudFormation or Terraform)
• Proven track record with event-driven architectures using Kafka or Kinesis

If you’re passionate about cloud data engineering and want to be part of a transformation that’s reshaping the future of banking, click apply now or send your CV and a few lines as to why you think you’re relevant for the job, directly to dan.wotherspoon@changerecruitment.com.au