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BizCover

Junior Data Engineer

BizCover Sydney, New South Wales, Australia

Insurance · 201-500 employees

Sep 06
Remote data-engineer Senior (5-10 yrs) Full-time Australia
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About the role

The role involves owning the end-to-end delivery of data pipelines, models, and tests while monitoring data quality and job health. You will collaborate cross-functionally to define and implement scalable data solutions using modern tools.

What they look for

Data engineering Snowflake Fivetran Dbt cloud MSSQL Data pipelines Data modeling Data quality Observability AI-assisted development SQL LLMs Technical communication Documentation Reliability engineering

Requirements

Candidates should have 4-6 years of experience with technical proficiency in Snowflake, Fivetran, dbt Cloud, and MSSQL. Strong skills in data modeling, testing, and the ability to leverage AI-assisted development tools are required.

Benefits

Hybrid working model Quarterly recognition awards Business casual dress code Employee incentive program Employee benefits package Progression opportunities

Full description

Who are we? 

We are the leading online platform for comparing and buying business insurance. 

Not to toot our own horn, but we’re shaking things up in the SME business insurance market! We’re all about making it easy and efficient for small businesses to get the perfect coverage they need to stay protected. Say goodbye to headaches and hello to hassle-free insurance!

Role Purpose?

The purpose of this role is to contribute to changing how BizCover operates using data to drive decisions and exceed our strategic growth objectives.

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 
  • Ideally would have 3-4 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. 
  • Hybrid working model with flexibility to work from home 2 days and the 3 days in the office
  • Exciting and rewarding team culture
  • Quarterly recognition awards
  • Business Casual dress code
  • Rewarding Employee Incentive Program
  • Employee benefits package
  • Growing company with progression opportunities

We are an equal opportunity employer and we do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected status. We encourage applications from people of all backgrounds, identities, and perspectives. We are committed to creating a diverse and inclusive workplace where everyone can thrive and grow.

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