Data Engineer - Data Platforms - Snowflake
Sydney (preferred), Other locations considered
Hybrid Working Setting
6 + month contract
About the Role
We'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 Doing
Snowflake 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 Bring
SQL:
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:
Strong 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 technologies
Supportive team environment with experienced engineers and technical leaders
Exposure to enterprise-scale data platforms and automation initiatives
Flexible and hybrid working arrangements
Apply Now
If 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 | ************ | ******
Candidates 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 (New South Wales)
🏢 Whizdom Recruitment
📍 New South Wales