1 day ago

Staff Data Engineer (Big Data, AWS and Snowflake)

Commonwealth Bank

Sydney

1 day ago

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CommBank is seeking a Staff Data Engineer to lead the design and delivery of modern data solutions for Home Buying. The role involves hands-on engineering with Big Data AWS, Snowflake, and dbt, as well as technical leadership, mentoring, and influencing architecture. The ideal candidate has deep data engineering experience and is comfortable leading through influence.

AI-enabledHybridFull-timePrincipalSQLPython

Staff Data Engineer (Big Data, AWS and Snowflake)

Apply

AI-enabledHybridFull-timePrincipalSQL

Salary

Not specified

Work Location

Sydney, New South Wales, Australia, AU

Work Model

Hybrid

Employment Type

Full-time

Experience Level

Staff

Core Qualifications

Technical (Must-have)

SQLPythonPySparkScalaJavaAWSAmazon S3EMRApache SparkApache AirflowApache IcebergAWS GlueApache HadoopApache HiveApache KafkaSnowflakedbtCI/CDDevSecOpsGenAIClaudeLangGraphLangChainCodexChatGPTGitHub Copilot

Soft Skills

Technical leadershipMentoringInfluenceCollaborationProblem solvingCommunication

Key Responsibilities

•Design, build, test and deploy scalable data solutions across the full engineering development lifecycle.
•Lead engineering initiatives and coordinate delivery across data, platform, operations, and observability teams.
•Review solution designs and architectures, providing practical guidance aligned with engineering standards and strategy.
•Contribute to technical governance, helping teams make sound decisions about architecture, implementation, risk and adoption.
•Support engineers when they encounter complex technical challenges and mentor them to build their capability.
•Develop reliable data pipelines and data products that are secure, maintainable and production-ready.
•Partner with technical and business stakeholders to understand business requirements, provide and assess different technical data solutions, and deliver meaningful outcomes.
•Contribute to engineering recruitment activities, including technical interviews and the consistent application of hiring standards, and uplift our data engineering resource capabilities.
•Contribute to how we will be using GenAI to improve our ways of working, deliver better data analytics and insights, and increase productivity.

Data EngineeringBig DataAWSSnowflakedbtFinancial ServicesStaff EngineerHybridSydneyCommBank

Core Qualifications

Technical (Must-have)

Soft Skills

Technical leadershipMentoringInfluenceCollaborationProblem solvingCommunication

Key Responsibilities

•Design, build, test and deploy scalable data solutions across the full engineering development lifecycle.

•Lead engineering initiatives and coordinate delivery across data, platform, operations, and observability teams.

•Review solution designs and architectures, providing practical guidance aligned with engineering standards and strategy.

•Contribute to technical governance, helping teams make sound decisions about architecture, implementation, risk and adoption.

•Support engineers when they encounter complex technical challenges and mentor them to build their capability.

•Develop reliable data pipelines and data products that are secure, maintainable and production-ready.

•Partner with technical and business stakeholders to understand business requirements, provide and assess different technical data solutions, and deliver meaningful outcomes.

•Contribute to engineering recruitment activities, including technical interviews and the consistent application of hiring standards, and uplift our data engineering resource capabilities.

•Contribute to how we will be using GenAI to improve our ways of working, deliver better data analytics and insights, and increase productivity.