Data Engineer: Build Trusted Pipelines & Analytics

bunnings; Australia; Vor Ort; AUD 120.000 - 150.000; Vollzeit

Benefits dieser Stelle

Team discount

OnePass membership

Employee benefits program

12 weeks parental leave

Festive gifts

Cafe discounts

Travelling store opportunities

Career development

Zusammenfassung

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

You’ll design analytical models, maintain data quality, and collaborate with BI developers, data scientists and product teams to deliver connected solutions in a large, evolving environment.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Python

SQL

dbt

Apache Airflow

Power BI

Ausbildung

Relevant qualification or equivalent industry experience

Tools

Snowflake

Jobbeschreibung

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

You’ll design analytical models, maintain data quality, and collaborate with BI developers, data scientists and product teams to deliver connected solutions in a large, evolving environment.