Junior Data Engineer — Hybrid, Growth & Recognition

BizCover; Sydney; Hybrid; AUD 110,000 - 150,000; Full time

Benefits offered by this job

Hybrid work model (2 days remote)

Quarterly recognition awards

Business casual dress code

Employee incentive program

Employee benefits package

Career progression opportunities

Job summary

BizCover is seeking a data engineer to own end-to-end data pipelines, models, and tests. You will implement reusable patterns using MSSQL, dbt Cloud, and Snowflake while monitoring data quality and lineage. The role requires collaboration across teams to design scalable data solutions and drive reliable analytics.

You should have 3–4 years of data engineering experience, with strong SQL, data modeling, and observability skills, and a passion for AI-assisted tooling to boost productivity.

Qualifications

• 3–4 years of experience in data engineering.
• Experience with Snowflake, Fivetran, dbt Cloud and MSSQL.
• Experience in writing tests, observability, and reliability improvements.
• Strong documentation and technical communication skills.

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.

Skills

Data modeling

Documentation

Technical communication

Problem solving

Collaboration

Tools

Snowflake

Fivetran

dbt Cloud

MSSQL

SQL

Job description

BizCover is seeking a data engineer to own end-to-end data pipelines, models, and tests. You will implement reusable patterns using MSSQL, dbt Cloud, and Snowflake while monitoring data quality and lineage. The role requires collaboration across teams to design scalable data solutions and drive reliable analytics.

You should have 3–4 years of data engineering experience, with strong SQL, data modeling, and observability skills, and a passion for AI-assisted tooling to boost productivity.