Senior Data Engineer

About the Role

As a Senior Data Engineer at Bunnings, you will lead complex data projects and develop trusted data products that enable better business decisions for customers and internal teams. In this individual contributor role, you will play a key technical role in creating data pipelines, models, and solutions using technologies such as Python, SQL, dbt, Apache Airflow, and Snowflake. Although you will not have direct reports, you will guide engineering choices, mentor peers, and help improve data solution delivery across the organisation.

Responsibilities

• Lead design and implementation of reliable data products for reporting, analytics, and AI initiatives.
• Create production-grade data pipelines and reusable transformation frameworks.
• Develop dimensional, Data Vault, and semantic data models for clearer data understanding.
• Make informed technical decisions focusing on performance, cost-efficiency, security, and data quality.
• Enhance automation of testing, deployment, monitoring, and recovery processes.
• Resolve complex data pipeline, performance, and quality issues.
• Improve documentation, data lineage, monitoring, and operational preparedness.
• Collaborate with architects, BI developers, data scientists, and business stakeholders.
• Mentor engineers through pairing, peer reviews, and design guidance.
• Identify and execute opportunities to simplify data environments, reduce technical debt, and boost developer efficiency.

Candidate Profile

You are a seasoned data engineer who enjoys hands-on technology work while enabling others to excel. You demonstrate the ability to bring clarity to ambiguous problems, weigh trade-offs prudently, and communicate recommendations clearly. You thrive in cross-functional teams valuing open dialogue, practical solutions, and shared ownership. Your mindset balances engineering quality and rapid value delivery, underpinned by curiosity, sound judgment, and a collaborative spirit.

Required Qualifications and Experience

• At least seven years of substantial experience in data engineering roles.
• Advanced proficiency with Python, SQL, and dbt framework.
• Strong practical expertise in Apache Airflow for workflow orchestration.
• Experience building and deploying production data solutions on cloud platforms, specifically Snowflake.
• Solid understanding of dimensional modeling, Data Vault methodologies, and modern data architectures.
• Familiarity with continuous integration/continuous delivery (CI/CD), automated testing, observability, and version control systems.
• Proven ability to troubleshoot complex data and pipeline performance issues and enhance production reliability.
• Demonstrated leadership experience, including mentoring engineers and influencing stakeholders across functions.
• Knowledge of data governance frameworks, data quality assurance, data lineage, and metadata management.
• Relevant formal qualifications or equivalent practical expertise.

Additional beneficial skills (not mandatory) include exposure to Power BI, retail sector data analytics, machine learning, or AI-powered analytics.

Employee Benefits and Culture

• Team discounts across Bunnings plus Wesfarmers brands such as Kmart, Target, and Officeworks.
• Complimentary standard OnePass membership.
• Access to 100+ exclusive team member benefits covering health, shopping, travel, wealth, work, and leave.
• Generous parental leave: 12 weeks paid leave irrespective of gender.
• Additional perks including festive gifts, discounts at Bunnings Cafe, and opportunities for store travel assignments.
• Strong commitment to career development and internal growth pathways.

Equal Opportunity and Inclusion

Bunnings embraces diversity and fosters an inclusive workplace guided by strong values. Applications are welcomed from individuals of all ages, cultural backgrounds, abilities, sexual orientations, and gender identities. Aboriginal and Torres Strait Islander peoples are particularly encouraged to join and contribute to a workplace celebrating First Nations voices. Applicants must be at least 15 years of age to be eligible.

Additional Information

Background checks may be required upon a job offer, including police, employment, medical, and qualification verifications. Any criminal record returned in a police check will be assessed in relation to the job's requirements. Recruitment agencies are not accepted; hiring is managed internally.