Data Engineer
BizCover
full-time
Posted on:
Location Type: Hybrid
Location: Sydney • Australia
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About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data pipelinesdata modelsMSSQLdbt CloudSnowflakedata modelingwriting testsobservabilityAI-assisted development toolscode quality
Soft Skills
technical communicationdocumentationcollaboration