Data Engineer at leading online insurance platform for businesses. Delivering data pipelines and collaborating cross-functionally to enhance decision-making.
Responsibilities
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
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 modern data stack.
Benefits
Hybrid working model with flexibility to work from home and the office (if not based in Sydney, the role will be fully remote)
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