Senior Snowflake / dbt Engineer

WattleCore Technologies Pty Ltd; Sydney; On-site; AUD 140,000 - 190,000; Full time

Job summary

WattleCore Technologies Pty Ltd in Sydney seeks a mid-level to senior data engineer to design and implement scalable Snowflake-based data transformation solutions. You will build reusable dbt frameworks, ensure data quality, and support modern CI/CD practices.

The role focuses on migrating from legacy systems, developing enterprise data models, and collaborating with cross-functional teams to meet enterprise standards.

Qualifications

• Advanced Snowflake SQL and performance optimization skills.
• Hands-on dbt experience with macros, packages, testing, and deployment.
• Data modelling and transformation engineering expertise.
• Experience implementing automated data quality frameworks.
• Strong Git, CI/CD, and DevOps practices.
• Experience migrating data solutions from Teradata or legacy platforms.
• Knowledge of enterprise data architecture and engineering principles.

Responsibilities

• Design and develop scalable Snowflake-based data transformation solutions.
• Build and maintain reusable dbt frameworks, models, macros, and templates.
• Develop enterprise data models and transformation standards.
• Implement automated testing, data-quality controls, and validation frameworks.
• Manage model lineage, dependencies, and environment promotion processes.
• Support CI/CD implementation and Git-based development practices.
• Drive migration and modernization initiatives from legacy data platforms to Snowflake.
• Collaborate with platform engineering teams to ensure alignment with enterprise standards.

Skills

Snowflake SQL

dbt

Data modelling

Data quality frameworks

Git/CI-CD/DevOps

Teradata migration

Enterprise data architecture

Tools

dbt

Git

CI/CD

DevOps

Teradata

Snowflake platform

Job description

Full-time Contract Mid-level Senior

Posted 24 Oct 2026

Responsibilities

Design and develop scalable Snowflake-based data transformation solutions.

• Build and maintain reusable dbt frameworks, models, macros, and templates.
• Develop enterprise data models and transformation standards.
• Implement automated testing, data-quality controls, and validation frameworks.
• Manage model lineage, dependencies, and environment promotion processes.
• Support CI/CD implementation and Git-based development practices.
• Drive migration and modernization initiatives from legacy data platforms to Snowflake.
• Collaborate with platform engineering teams to ensure alignment with enterprise standards.

Mandatory Skills

Advanced Snowflake SQL and performance optimization skills.

• Strong hands-on dbt experience including macros, packages, testing, and deployment.
• Data modelling and transformation engineering expertise.
• Experience implementing automated testing and data quality frameworks.
• Strong Git, CI/CD, and DevOps practices.
• Experience migrating data solutions from Teradata or other legacy platforms.
• Strong understanding of enterprise data architecture and engineering principles.