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
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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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Strong 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 contemporary data stack
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Core Competencies
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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.
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Highest-signal resume keywords
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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
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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
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Technical Communication
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Documentation
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Industry Keywords
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Data Solutions
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Strategic Growth Objectives
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Cross-Functional Collaboration
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Tools & Technologies
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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 (New South Wales)
🏢 Jobtailor
📍 New South Wales