Our NSW Government client are hiring for a highly capable Data Engineer to join the organisation. The Data Engineer is responsible for designing and building scalable, reusable data pipelines and transformations that power the organisation's cloud-based data platform. This role focuses on delivering high-quality, production-ready solutions that support reporting, analytics, and AI use cases across Snowflake and AWS.

Working within an Agile delivery team, the Data Engineer collaborates with Solutions Designers and Senior Engineers to translate business needs into engineered solutions that are reliable, testable, and aligned to platform standards.

Role Title: Data Engineer

Contract Role Till: 6 month contract from start date

Daily Pay: Up to $1,000 - $1,150 Inclusive of Super per day.

Location: Sydney CBD (2000) - Mix of In-Office 3 days per week/ WFH Hybrid.

Key Accountabilities:

• Develop and build robust, reusable data pipelines using Snowflake, AWS Glue, Python, and SQL
• Translate business logic and solution designs into production-grade transformations
• Write modular, maintainable code aligned to platform and engineering standards
• Collaborate with DevOps to integrate pipelines into CI/CD workflows
• Embed observability, error handling, and logging into pipeline development
• Participate in peer reviews, sprint ceremonies, and team delivery planning
• Support test execution and validation alongside Test Engineers
• Document code, logic, and lineage to support reusability and audit-ability
• Collaborates closely with:
• Solution Designers and Data Modellers to clarify requirements and implement business logic
• DevOps Engineer to deploy pipelines via CI/CD
• Data Ops for testing, deployment, and production readiness
• Performance Monitoring & Insights to ensure datasets meeting reporting requirements
  
  

Skills and Experience required:

• Bachelor's degree in Computer Science, Information Systems, or related field
• Solid SQL and understanding of data structure and query optimisation
• Exposure to data pipeline development in Snowflake, AWS, or similar cloud environments
• Familiarity with version control tools and modular code practices
• Minimum 2+ years of experience in data engineering, analytics engineering, or related technical role
• Experience building or supporting ELT/ETL workflows in production environment
• Demonstrated ability to work effectively within Agile teams.

Skills and Experience - desirable:

• Exposure to Python, AWS Glue, or similar scripting/orchestration tools
• Familiarity with CI/CD tools (e.g. GitHub Actions, Azure DevOps)
• Understanding of data quality concepts and test automation
• Experience working with BI/reporting teams (e.g. Power BI, Qlik)
• Exposure to data modelling, metadata, or lineage tooling
• Experience working in public sector, insurance, or highly regulated environments

Candidates must be based in the Greater Sydney Area and must possess existing full working rights in Australia.

If you feel this opportunity matches your skills and previous experiences, please apply with your CV.