Data Engineer ( GCP )

XPT Software Australia Pty Ltd; Sydney; On-site; AUD 90,000 - 130,000; Full time

Job summary

XPT Software Australia Pty Ltd is seeking a data engineer to design, build, and optimise batch and streaming data pipelines. Based in Sydney, you will work with Technical Leads, Data Architects and Analysts to deliver fit-for-purpose data solutions and ensure governance and security standards.

Collaborate closely with stakeholders, implement monitoring, and contribute to CI/CD pipelines for automated testing and deployment.

Qualifications

• 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 dataengineering or closely related role.

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.

Skills

SQL

ETL pipelines

Cloud platforms

Data modeling

Data orchestration

Version control

Data quality

Independent work

Stakeholder collaboration

Documentation

Code reviews

Troubleshooting

Data engineering experience

Education

2-4 years data engineering experience

Job description

XPT Software Australia Pty Ltd | Contract

Sydney, Australia | Posted on 10/28/2026

• XPT SoftwareAustralia PTY Ltd, incorporated in 2016, is a Software Services company
  
• XPT works with topclients across Australia in Banking, Insurance, Telecom,Retail, Energy, Mining and Manufacturingdomains.
  
• We have 120+technocrats in Australia working at our clientlocations.
  
• XPT SoftwareAustralia is part of group companies which has globalpresence across India & Europe.
  
• We have served100+ clients globally, fulfilling their onsite-offshoreneeds.
  

Job Description

KeyResponsibilities

• Design, build, andoptimise batch and streaming data pipelines using approved frameworks andtooling.
  
• Ensure pipelines areresilient, performant, and cost optimised.
  
• Implement monitoring,alerting, and automated recovery processes.
  
• Apply data quality checksand reconciliation processes to ensure accuracy and completeness.
  
• Maintain metadata,lineage, and documentation to support governance requirements.
  
• Adhere to role-basedaccess control, data privacy, and security standards.
  
• Contribute to thedevelopment and maintenance of ingestion frameworks, transformationlayers, and data models.
  
• Implement and maintainCI/CD pipelines for automated testing and deployment.
  
• Optimise data storage andretrieval strategies to meet performance needs.
  
• Work closely withTechnical Leads, Data Architects, Analysts, and business stakeholders todeliver fit-for-purpose solutions.
  
• Participate in codereviews and knowledge-sharing sessions to improve team capability.
  
• Explore and adopt newtools, frameworks, and techniques to enhance engineering capability.
  
• Identify opportunities toautomate and streamline workflows.
  

KeySkills & Experience

• Proficient in SQL fordata wrangling, transformation, and analysis
  
• Experience buildingETL/ELT pipelines in cloud or distributed environments
  
• Familiarity with cloudplatforms and services
  
• Knowledge of datamodeling concepts
  
• Experience with dataorchestration tools
  
• Familiar with versioncontrol and CI/CD pipelines
  
• Understanding of dataquality, validation, and observability practices
  
• Works independently withminimal supervision on well-scoped tasks
  
• Collaborates effectivelywith stakeholders
  
• Communicates clearly anddocuments work for others to maintain or build upon
  
• Open to code reviews,feedback, and continuous learning
  
• Able to troubleshoot andresolve data pipeline failures or performance issues
  
• 2–4 years in a dataengineering or closely related role
  

Demonstrated ability to improve code quality, reliability, or performance