Data Engineer: Build Scalable Pipelines & Analytics

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

Benefits offered by this job

Team discount at Bunnings

OnePass membership

Exclusive benefits program

12 weeks parental leave

Job summary

Bunnings is seeking a Data Engineer to turn complex enterprise data into trusted products in the Data, AI, Loyalty and Analytics team. You’ll build scalable data pipelines, analytical datasets and models to support reporting, self-service analytics, and AI use cases using Python, dbt, Airflow, Snowflake and Power BI.

Join a collaborative team that values practical thinking, sound engineering and continuous learning, with opportunities to influence how we work and advance our capabilities.

Qualifications

• Around five or more years of experience in data engineering or comparable practical experience.
• Strong hands-on capability with Python, SQL, dbt and Apache Airflow.
• Experience building data pipelines and analytical solutions on cloud platforms such as Snowflake.
• Knowledge of dimensional modelling, Data Vault or other contemporary modelling approaches.

Responsibilities

• Build and maintain reliable data pipelines and curated datasets for reporting, analytics and AI initiatives.
• Design dimensional, semantic and other analytical models that make data easier for teams to understand and use.
• Develop reusable transformation logic using Python, SQL, dbt and Apache Airflow.
• Improve data quality through automated testing, monitoring, documentation and clear lineage.
• Translate evolving business requirements into practical, maintainable data products.

Skills

Python

SQL

dbt

Apache Airflow

Power BI

Education

Relevant qualification or equivalent industry experience

Tools

Snowflake

Power BI

Job description

Bunnings is seeking a Data Engineer to turn complex enterprise data into trusted products in the Data, AI, Loyalty and Analytics team. You’ll build scalable data pipelines, analytical datasets and models to support reporting, self-service analytics, and AI use cases using Python, dbt, Airflow, Snowflake and Power BI.

Join a collaborative team that values practical thinking, sound engineering and continuous learning, with opportunities to influence how we work and advance our capabilities.