Hybrid Data Engineer

Posted 5 hours ago

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About the role

  • 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)
  • Exciting and rewarding team culture
  • Quarterly recognition awards
  • Business Casual dress code
  • Rewarding Employee Incentive Program
  • Employee benefits package
  • Growing company with progression opportunities

Job title

Data Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

No Education Requirement

Tech skills

Location requirements

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