- Design, build, and optimise batch and streaming data pipelines using approved frameworks and tooling.
- Ensure pipelines are resilient, performant, and cost optimised.
- Implement monitoring, alerting, and automated recovery processes.
- Apply data quality checks and reconciliation processes to ensure accuracy and completeness.
- Maintain metadata, lineage, and documentation to support governance requirements.
- Adhere to role-based access control, data privacy, and security standards.
- Contribute to the development and maintenance of ingestion frameworks, transformation layers, and data models.
- Implement and maintain CI/CD pipelines for automated testing and deployment.
- Optimise data storage and retrieval strategies to meet performance needs.
- Work closely with Technical Leads, Data Architects, Analysts, and business stakeholders to deliver fit-for-purpose solutions.
- Participate in code reviews and knowledge-sharing sessions to improve team capability.
- Explore and adopt new tools, frameworks, and techniques to enhance engineering capability.
- Identify opportunities to automate and streamline workflows.
Key Skills & Experience
- Proficient in SQL for data wrangling, transformation, and analysis
- Experience building ETL/ELT pipelines in cloud or distributed environments
- Familiarity with cloud platforms and services
- Knowledge of data modeling concepts
- Experience with data orchestration tools
- Familiar with version control and CI/CD pipelines
- Understanding of data quality, validation, and observability practices
- Works independently with minimal supervision on well-scoped tasks
- Collaborates effectively with stakeholders
- Communicates clearly and documents work for others to maintain or build upon
- Open to code reviews, feedback, and continuous learning
- Able to troubleshoot and resolve data pipeline failures or performance issues
- 2–4 years in a data engineering or closely related role
Key Responsibilities
- Design, build, and optimise batch and streaming data pipelines using approved frameworks and tooling.
- Ensure pipelines are resilient, performant, and cost optimised.
- Implement monitoring, alerting, and automated recovery processes.
- Apply data quality checks and reconciliation processes to ensure accuracy and completeness.
- Maintain metadata, lineage, and documentation to support governance requirements.
- Adhere to role-based access control, data privacy, and security standards.
- Contribute to the development and maintenance of ingestion frameworks, transformation layers, and data models.
- Implement and maintain CI/CD pipelines for automated testing and deployment.
- Optimise data storage and retrieval strategies to meet performance needs.
- Work closely with Technical Leads, Data Architects, Analysts, and business stakeholders to deliver fit-for-purpose solutions.
- Participate in code reviews and knowledge-sharing sessions to improve team capability.
- Explore and adopt new tools, frameworks, and techniques to enhance engineering capability.
- Identify opportunities to automate and streamline workflows.
Key Skills & Experience
- Proficient in SQL for data wrangling, transformation, and analysis
- Strong programming skills
- Experience building ETL/ELT pipelines in cloud or distributed environments
- Familiarity with cloud platforms and services
- Knowledge of data modeling concepts
- Experience with data orchestration tools
- Familiar with version control and CI/CD pipelines
- Understanding of data quality, validation, and observability practices
- Works independently with minimal supervision on well-scoped tasks
- Collaborates effectively with stakeholders
- Communicates clearly and documents work for others to maintain or build upon
- Open to code reviews, feedback, and continuous learning
- Able to troubleshoot and resolve data pipeline failures or performance issues
- 2–4 years in a data engineering or closely related role
- Has delivered production-ready pipelines end-to-end
Demonstrated ability to improve code quality, reliability, or performance
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Data Engineer ( GCP ) in Sydney employer: XPT Software
XPT Software is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the field of AI governance. Located at the heart of Defence operations, employees benefit from unique opportunities to engage with industry leaders and contribute to meaningful projects that enhance national security. With a strong focus on professional development, XPT Software supports employee growth through continuous learning and mentorship, making it an ideal place for those looking to make a significant impact in their careers.
