- Own end-to-end delivery of data pipelines, models, and tests
- Implement reusable patterns and model structures in MSSQL, dbt Cloud, and Snowflake
- Monitor data quality, lineage, and job health
- Collaborate cross-functionally to define scalable data solutions
- Use data to drive decisions and support strategic growth objectives

Requirements

- Ideally would have 4-6 years of experience.
- Technical experience with Snowflake, Fivetran, dbt Cloud, MSSQL
- Ability to model data using best practices
- Proficiency in writing tests, implementing observability, and improving reliability
- Strong documentation and technical communication skills
- 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
- Interest in learning and adopting emerging AI capabilities within the contemporary data stack

Core Competencies





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

- Snowflake
- Dbt Cloud
- MSSQL
- Data Modeling
- AI-Assisted Development Tools

Hard Skills

- Data Pipeline Delivery
- Data Quality Monitoring
- Modeling Best Practices
- Writing Tests
- Implementing Observability

Soft Skills

- Technical Communication
- Documentation

Industry Keywords

- Data Solutions
- Strategic Growth Objectives
- Cross-Functional Collaboration

Tools & Technologies

- Fivetran
- SQL/dbt Copilots
- LLMs for Documentation
- Testing
- Refactoring

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📌 Data Engineer (New South Wales)
🏢 Jobtailor
📍 New South Wales