Data Engineer: Build Trusted Pipelines for Analytics & AI

Bunnings; Victoria; On-site; AUD 120,000 - 170,000; Full time

Benefits offered by this job

Team discount

OnePass membership

100+ exclusive benefits

12 weeks parental leave

Cafe discounts and store perks

Job summary

Bunnings is looking for an experienced Data Engineer to turn complex enterprise data into trusted products. You will build scalable data pipelines, analytical datasets and models to support reporting, self-service analytics and emerging AI use cases.

You’ll work with Python, dbt, Airflow, Snowflake and Power BI in a large, evolving environment. Join a collaborative team that values practical thinking, engineering rigor and continuous learning.

Qualifications

• 5+ years of data engineering or similar experience.
• Strong hands-on with Python, SQL, dbt and Airflow.
• Experience building pipelines and analytics on Snowflake.
• Knowledge of dimensional modelling and data structures.
• Experience developing semantic layers for business use.
• Familiarity with governance, quality, lineage, metadata.

Responsibilities

• Build and maintain data pipelines and curated datasets for reporting and AI initiatives.
• Design dimensional and semantic models to simplify data access for teams.
• Develop reusable transformation logic with Python, SQL, dbt and Airflow.
• Improve data quality with automated tests, monitoring and documentation.
• Optimize queries for performance, scalability and cost.
• Translate business needs into practical data products.
• Collaborate with BI, data scientists, analysts, architects and product teams.

Skills

Python

SQL

dbt

Airflow

Snowflake

Power BI

Data modelling

Agile

Education

Relevant qualification

Tools

Source control

CI/CD

Job description

Bunnings is looking for an experienced Data Engineer to turn complex enterprise data into trusted products. You will build scalable data pipelines, analytical datasets and models to support reporting, self-service analytics and emerging AI use cases.

You’ll work with Python, dbt, Airflow, Snowflake and Power BI in a large, evolving environment. Join a collaborative team that values practical thinking, engineering rigor and continuous learning.