GCP Data Engineer
Infosys APAC is hiring a GCP Data Engineer in Sydney to design, build, and optimise batch and streaming data pipelines, covering monitoring, data quality, lineage/governance, and CI/CD automation. The role suits engineers with 2–4 years of data engineering experience, strong SQL, and cloud ETL/ELT skills.
- Compensation
- Not disclosed
- Location
- Sydney, Australia
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 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
- 2–4 years in a data engineering or closely related role
- Has delivered production-ready pipelines end-to-end
- Able to troubleshoot and resolve data pipeline failures or performance issues
- 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
- Demonstrated ability to improve code quality, reliability, or performance
Nice to have
- Open to code reviews, feedback, and continuous learning
Full description
Job DescriptionDescription – Data Engineer_GCP
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