Job Description

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- Own end-to-end delivery of data pipelines, models, and tests
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- Implement reusable patterns and model structures in MSSQL, dbt Cloud, and Snowflake
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- Monitor data quality, lineage, and job health
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- Collaborate cross-functionally to define scalable data solutions
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- Use data to drive decisions and support strategic growth objectives
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Requirements nn
- Ideally would have 4-6 years of experience.
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- Technical experience with Snowflake, Fivetran, dbt Cloud, MSSQL
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- Ability to model data using best practices
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- Proficiency in writing tests, implementing observability, and improving reliability
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- Solid documentation and technical communication skills
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- Hands-on experience using AI-assisted development tools (e.g., SQL/dbt copilots, LLMs for documentation, testing, or refactoring) to improve productivity and code quality
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- Interest in learning and adopting emerging AI capabilities within the modern data stack
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Core Competencies n





Demonstrates expertise in end-to-end data pipeline delivery, leveraging tools like Snowflake and dbt Cloud to implement scalable data solutions. Proficient in data modeling, quality monitoring, and utilizing AI-assisted development tools to enhance productivity and code quality.

Highest-signal resume keywords n

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- Snowflake
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- Dbt Cloud
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- MSSQL
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- Data Modeling
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- AI-Assisted Development Tools
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Hard Skills nn
- Data Pipeline Delivery
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- Data Quality Monitoring
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- Modeling Best Practices
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- Writing Tests
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- Implementing Observability
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Soft Skills nn
- Technical Communication
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- Documentation
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Industry Keywords nn
- Data Solutions
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- Strategic Growth Objectives
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- Cross-Functional Collaboration
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Tools & Technologies nn
- Fivetran
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- SQL/dbt Copilots
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- LLMs for Documentation
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- Testing
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- Refactoring
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📌 Data Engineer (Sydney)
🏢 Jobtailor
📍 Sydney