Data Engineer jobs in Australia
Explore 11 matching jobs.
Staff Data Engineer
Commonwealth Bank
Posted: 10/22/2026AirflowAmazon RedshiftAWSCloudPySparkPythonSparkSQL
Data Engineer
Australian Payments Plus
Posted: 10/22/2026AirflowAWSETLKafkaNoSQLPythonSQL
Data Engineer
TEG Pty Ltd
Posted: 10/16/2026AirflowAmazon RedshiftAnsibleAWSETLGoogle Cloud PlatformJenkinsKafkaMongoDB+3 more
Data Migration Specialist
AlphaSys
Posted: 10/11/2026CloudETLSQLSSIS
Data Migration Specialist
AlphaSys
Posted: 10/9/2026CloudETLSQLSSIS
Data Migration Architect – Manager
Avanade
Posted: 10/6/2026AzureCloudERPETLOracleSQL
Technical Lead – Data Engineering
AIA
Posted: 10/2/2026AzureCloudETLPythonSQL
Data Platform Engineer
EatClub
Posted: 9/30/2026AirflowAWSCloudPythonSparkSQL
Managing Consultant – Data Engineer
ALTIS
Posted: 9/29/2026AzureCloudSQL
Senior Managing Consultant – Data Engineer, Databricks
ALTIS
Posted: 9/24/2026AzureCloudSQL
Staff Data Engineer, Big Data, AWS, Snowflake
Commonwealth Bank
Posted: 9/18/2026AirflowAWSHadoopJavaKafkaPySparkPythonScalaSpark+1 more

Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and building scalable data pipelines using AWS services, including S3, EMR, Glue, and Lambda, while ensuring data quality and reliability. Proven ability to lead technical direction, mentor engineers, and influence engineering standards across teams.
Highest-signal resume keywords
AWS Data ServicesData Pipeline EngineeringPython ProgrammingCI/CD PracticesTechnical Leadership
Tech Stack
Tools & technologiesAirflowAmazon RedshiftAWSCloudPySparkPythonSparkSQL
About the role
Key responsibilities & impact- Set technical direction for complex data engineering initiatives and influence architecture and standards across multiple squads
- Design, build and evolve scalable batch and streaming data pipelines using Spark, Airflow and AWS Glue
- Build cloud-native data solutions across AWS, including S3, EMR, Glue, Lambda, Redshift and SageMaker
- Engineer high-quality data products and evolve enterprise data platform and data marketplace patterns
- Lead engineering practices across testing, CI/CD, infrastructure-as-code, observability and production reliability
- Establish patterns for data quality, resilience, performance and maintainability across distributed data workloads
- Mentor engineers, support technical decision-making and raise data engineering capability across teams
- Partner with Architecture, Product, Security and data consumers to translate complex requirements into pragmatic engineering solutions
Requirements
What you’ll need- Experienced data engineer with deep technical capability and a track record of influencing engineering beyond the immediate team
- Strong experience across AWS data services, particularly S3, EMR, Glue, Lambda, Redshift, SageMaker or comparable cloud technologies
- Experience with Snowflake, enterprise-scale data platforms, data products or data marketplace patterns
- Strong experience with Python and PySpark
- Experience designing and operating batch and streaming pipelines using Airflow, Spark and Glue
- Experience with CI/CD, automated testing and infrastructure-as-code
- Experience with observability, monitoring and reliability engineering for production data platforms and pipelines
- Advanced SQL and strong experience with relational database technologies
- Technical leadership across architecture and design, including mentoring engineers and influencing engineering standards across teams
Benefits
Comp & perks- Accessible, inclusive and respectful workplace
- Workplace support and adjustments for accessibility needs
- Career development opportunity within the Commonwealth Bank Group
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringBatch ProcessingStreaming DataSQLPySpark
Soft Skills
MentoringCollaborationTechnical Decision-Making
Tools & Technologies
SparkAirflowAWS GlueRedshiftSageMaker
Industry Keywords
Data QualityObservabilityInfrastructure-as-CodeData MarketplaceEnterprise Data Platforms