Overview

Organization: At CommBank, we never lose sight of the role we play in other people’s financial wellbeing.

Responsibilities

• Possesses hands-on technical experience working in AWS. The individual should have knowledge about AWS services like EC2, S3, Lambda, Athena, Kinesis, Redshift, Glue, EMR, DynamoDB, IAM, SecretManager, KMS, Step functions, SQS, SNS, Cloud Watch.
• The individual should possess a robust set of technical and soft skills and be an excellent AWS Data Engineer with a focus on complex Automation and Engineering Framework development.
• Being well-versed in Python is mandatory, and experience in developing complex frameworks using Python is required.
• Passionate about Cloud/DevSecOps/Automation and possess a keen interest in solving complex problems systematically.
• Drive the development and implementation of scalable data solutions and data pipelines using various AWS services.
• Possess the ability to work independently and collaborate closely with team members and technology leads.
• Exhibit a proactive approach, constantly seeking innovative solutions to complex technical challenges.
• Can take responsibility for nominated technical assets related to areas of expertise, including roadmaps and technical direction.
• Can own and develop technical strategy, overseeing medium to complex engineering initiatives.
• Design, build, and maintain scalable data pipelines (batch and real-time) to support AI/ML and security use cases
• Develop and manage data models and data products that enable analytics and detection capabilities
• Ensure data quality, reliability, and observability across pipelines and platforms
• Collaborate closely with data scientists and software engineers to productionise AI models
• Integrate data solutions into enterprise platforms (e.g. ServiceNow SecOps and other security tooling)
• Contribute to DevOps practices including CI/CD, automation, and infrastructure-as-code
• About 8-12 years of experience as a Data Engineering professional in a data-intensive environment.
• The individual should have strong analytical and reasoning skills in the relevant area.
• Proficiency in AWS cloud services, specifically EC2, S3, Lambda, Athena, Kinesis, Kafka, Redshift, Snowflake, DBT, Glue, EMR, DynamoDB, IAM, SecretManager, Step functions, SQS, SNS, Cloud Watch.
• Excellent skills in Python-based framework development are mandatory.

Qualifications

• Proficiency in SQL for efficient querying, managing databases, handling complex queries, and optimizing query performance.
• Strong understanding of streaming data processing concepts, including event-driven architectures.
• Expertise in data pipeline development using various data formats/types.
• Mandatory knowledge and experience in big data processing using PySpark/Spark and performance optimizations of applications
• Hands on with various Gen AI tools like Claude, GH Copilot, VS Code Co-pilot/Claude, Cline, Roo, ChatGpt
• Own and lead E2E Data engineering life cycle right from Requirement gathering, Data Modelling & architect design, develop & Build, test, Deployment/DevOPS Practices and support as part of DevSecOPS process.
• Must demonstrate skills and mindset to implement encryption methodologies like SSL/TLS and data encryption at rest and in transit and other data security best practices

Education

• A Bachelor's or Master's degree in Engineering, specializing in Computer Science, Information Technology or relevant qualifications.
• If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career.
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