Data Engineer: Build Scalable Pipelines & Analytics

Bunnings Group; City of Melbourne; On-site; AUD 120,000 - 160,000; Full time

Benefits offered by this job

Team discounts

OnePass membership

Parental leave 12 weeks

Annual festive gifts

Cafe discounts

Job summary

Bunnings Group is seeking a Data Engineer to translate complex enterprise data into trusted products that support reporting, analytics and AI initiatives. You will build scalable data pipelines, analytical datasets and models using Python, dbt, Airflow and Snowflake to empower teams and customers.

Join a collaborative Data, AI, Loyalty and Analytics team that values practical thinking and continuous learning.

Qualifications

• Five+ years of experience in data engineering or practical equivalent.

Responsibilities

• Build and maintain reliable data pipelines and curated datasets for reporting, analytics and AI initiatives.
• Design dimensional, semantic and analytical models to simplify data use by teams.
• Develop reusable transformation logic using Python, SQL, dbt and Airflow.
• Improve data quality through automated testing, monitoring and documentation.
• Collaborate with BI developers, data scientists and product teams to deliver connected solutions.

Skills

Python

SQL

dbt

Apache Airflow

Snowflake

Power BI

Tools

Snowflake

Power BI

dbt

Apache Airflow

Job description

Bunnings Group is seeking a Data Engineer to translate complex enterprise data into trusted products that support reporting, analytics and AI initiatives. You will build scalable data pipelines, analytical datasets and models using Python, dbt, Airflow and Snowflake to empower teams and customers.

Join a collaborative Data, AI, Loyalty and Analytics team that values practical thinking and continuous learning.