Data Engineer

To ensure the Group achieves a sustainable competitive advantage through data engineering, you will play a key role in supporting and executing the Group's data strategy.

We are looking for an experienced Data Engineer to join our Group Security Team, which is part of the wider Cyber Security Engineering practice. In this role, you will be responsible for setting up the Group Security Data Platform to ingest data from various organizations' security telemetry data, along with additional data assets and data products. This platform will provide

Roles & Responsibilities

You will be expected to perform the following tasks in a manner consistent with CBA’s Values and People Capabilities.

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

Essential Skills:-

About 5-8 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.

Experience with distributed data processing and large-scale data platforms

Proficiency in SQL for efficient querying, managing databases, handling complex queries, and optimizing query performance.

Experience with Terraform, Jenkins, Terraform is essential as part of DevOps. Additionally, Docker and Kubernetes are also considered.

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 Qualification :-

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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