AWS Cloud Data EngineerOn-Site

• Offices located in Sydney CBD and Melbourne CBD

Are you an experienced AWS Cloud Data Engineer looking to be part of a cutting-edge data transformation initiative?

Join a leading Australian bank as they modernize their data and analytics platform to become the best AI-driven bank in the world!

• Work on a high-impact, multi-year data transformation program
• Collaborate with IT and business stakeholders to shape the bank’s data strategy
• Leverage the latest AWS cloud technologies to drive data innovation

Key Responsibilities:

• Develop technology blueprints and engineering roadmaps for modern data solutions
• Design and implement cloud-native data architectures using AWS
• Build data ingestion, transformation, and integration pipelines
• Work with event-driven architectures (Kafka, Kinesis) and containerization (Docker, Kubernetes)
• Ensure CI/CD automation with GitHub, Jenkins, and Terraform

Must-Have Skills & Experience:

• 8+ years in data engineering, with expertise in AWS cloud services
• Hands-on experience with Snowflake, Redshift, Aurora PostgreSQL, Glue, Airflow, and EMR Serverless
• Must have AWS Certified Solutions Architect (Big Data experience)
• Strong proficiency in Python & SQL
• Experience with Infrastructure as Code (CloudFormation, Terraform)
• Knowledge of Parquet, Iceberg tables, DBT, Ab Initio
• Familiarity with Alation, Glue Data Catalog, AWS DataZone
• Data visualization experience (Tableau, Power BI)
• Experience with observability tools (Splunk, Prometheus, Grafana)
• Bonus: Markets domain knowledge (Murex, MRE, Wallstreet datasets)