Data Engineer: Scalable Pipelines & AI Analytics

Bunnings; Melbourne; On-site; AUD 110,000 - 150,000; Full time

Benefits offered by this job

Team discount at Bunnings

OnePass membership

Exclusive team member benefits

Parental leave 12 weeks

Festive gifts

Cafe discounts

Store opportunities

Job summary

Data Engineer at Bunnings will turn complex enterprise data into trusted products, building scalable pipelines and datasets for reporting, analytics and AI initiatives. You’ll work with Python, SQL, dbt, Airflow, Snowflake and Power BI in a large evolving environment.

You’ll collaborate across teams to deliver connected data solutions and drive governance and quality. Join a collaborative team that values practical engineering, continuous learning and ownership.

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.
• Experience developing semantic layers and business‑friendly data structures.
• Understanding of data governance, quality, lineage and metadata principles.
• Familiarity with source control, CI/CD, automated testing and engineering practices.
• Experience working in Agile, cross‑functional product teams.
• A relevant qualification or equivalent industry experience.
• Exposure to Power BI, retail data, machine learning or AI‑enabled analytics would be useful but isn’t essential.

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
• Optimise queries and data solutions for performance, scalability and cost
• Translate evolving business requirements into practical, maintainable data products
• Partner with BI developers, data scientists, analysts, architects and product teams to deliver connected solutions
• Contribute to peer reviews, technical discussions and shared engineering standards
• Help create consistent business definitions while balancing flexibility, governance and delivery pace

Skills

Python

SQL

dbt

Apache Airflow

Snowflake

Power BI

Dimensional modelling

Data governance

Agile

CI/CD

Education

Relevant qualification or equivalent industry experience

Tools

Apache Airflow

Snowflake

Power BI

dbt

Job description

Data Engineer at Bunnings will turn complex enterprise data into trusted products, building scalable pipelines and datasets for reporting, analytics and AI initiatives. You’ll work with Python, SQL, dbt, Airflow, Snowflake and Power BI in a large evolving environment.

You’ll collaborate across teams to deliver connected data solutions and drive governance and quality. Join a collaborative team that values practical engineering, continuous learning and ownership.