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

Robust 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 modern 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 (Sydney)
🏢 Jobtailor
📍 Sydney