Work options: On-Site Offices located in Sydney 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: MUST have 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)
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