Data Engineer - Data Platforms - SnowflakeSydney (preferred), Other locations consideredHybrid Working Environment6 + month contractAbout the RoleWe're partnering with a leading organisation seeking a Data Platform Engineer to join a growing data and analytics team.We are looking for a hands-on Data Engineer with strong expertise in Snowflake migration and data engineering.
You should be capable of delivering end-to-end data migration solutions, building scalable data pipelines using dbt and Apache Airflow, and leveraging GitHub Copilot and Snowflake Cortex AI to accelerate development and enable AI-driven solutions.What You'll Be DoingSnowflake Migration: Design and implement end-to-end migration solutions from any legacy on-premises platforms, e.g. SAS, Netezza, Teradata, etc., to Snowflake.
Develop reusable migration frameworks and Python automation scripts.Snowflake Engineering: Develop and optimise Snowflake SQL, data models, ingestion pipelines, and transformation workflows.
Apply performance-tuning and cost-optimisation best practices.SQL: Strong experience in writing SQL and PL/SQL queries.dbt Development: Build and maintain dbt models, macros, tests, snapshots, and incremental transformations integrated with Snowflake.Workflow Orchestration: Develop and manage Apache Airflow DAGs for scheduling and orchestrating data pipelines, including monitoring, dependency management, retries, and error handling.AI-Assisted Development: Use GitHub Copilot for code generation, refactoring, debugging, test creation, and documentation, ensuring code quality and security.Snowflake Cortex AI: Implement or integrate Cortex AI capabilities for use cases such as text processing, information extraction, semantic search,



and natural-language analytics.Quality and Delivery: Implement data quality checks, automated testing, reconciliation, version control, CI/CD, and production support practices.What You'll BringSQL: Strong experience in writing SQL and PL/SQL queries.Snowflake Migration: Proven hands-on experience delivering end-to-end migrations, including framework development, automation, data validation, and reconciliation.Snowflake: Robust SQL, data modelling, pipeline development, and performance optimisation skills.dbt: Practical experience developing models, macros, tests, and incremental transformations.Apache Airflow: Hands-on experience building DAGs and managing pipeline orchestration.Python: Experience developing migration utilities, automation scripts, and data validation solutions.GitHub Copilot: Practical usage for AI-assisted coding and engineering productivity.Snowflake Cortex AI: Practical implementation experience or demonstrable project-level expertise in Cortex AI capabilities.Why Apply?
Opportunity to work with modern cloud data technologiesSupportive team environment with experienced engineers and technical leadersExposure to enterprise-scale data platforms and automation initiativesFlexible and hybrid working arrangementsApply NowIf you are a hands-on Data Engineer who can independently deliver Snowflake migration and modernisation projects, develop production-grade data pipelines, and apply AI-assisted engineering techniques, we'd love to hear from you.Apply today or reach out for a confidential discussion: Katrina Gabriel | ************ | ****** will need to be willing to undergo pre-employment screening checks which may include, ID and work rights, security clearance verification and any other client requested checks.

📌 Data Engineer - Data Platforms - Snowflake (Sydney)
🏢 Whizdom Recruitment
📍 Sydney