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Senior Data EngineerBunnings · Support Office VIC
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Bunnings

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Senior Data Engineer

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🗓️ Posted 2026-10-05 Support Office VIC Full-time Hybrid ICT
💰 Salary Not shared 📊 Market A$10,833–A$15,416/mo

About the Company

Bunnings is the leading retailer of home improvement and lifestyle products in Australia and New Zealand. We're proud to support project builders, commercial tradespeople and the housing industry through our network of stores, trade centres, frame and truss sites and online. At Bunnings, our purpose is simple: we're here to inspire people to have a red hot go Whether that's backing our team to grow, supporting customers to take on new projects, or helping communities make a real difference. By joining our passionate and diverse team, you will be part of a culture that encourages you to roll up your sleeves and build something great together. If you're ready to have a go, apply today. Please note if you are offered a role with us, background checks may be required. This can include police, employment, medical and qualification checks. If a police check search returns a criminal record, Bunnings will assess whether the record impacts your ability to perform the key requirements of the role.

About the Role

Take the lead on complex data challenges and help build trusted data products that support better decisions for our customers and team. As a Senior Data Engineer in our Data, AI, Loyalty and Analytics team, you'll combine hands-on engineering with technical leadership. Using Python, SQL, dbt, Apache Airflow and Snowflake, you'll design reliable data pipelines, models and reusable solutions that enable enterprise reporting, self-service analytics and emerging AI use cases. We're building the best...Our team makes it happen. This is an individual contributor role with genuine influence. You won't have direct reports, but you'll guide engineering decisions, coach others and help strengthen how data solutions are delivered across Bunnings. You'll be supported to test ideas, share knowledge and keep developing, with a team culture focused on Inspiring you to give it a red hot go . What's involved You'll work across product and delivery teams to turn complex or evolving requirements into data solutions that are practical, scalable and easy to support. Along the way, you'll have opportunities to: Lead the design and delivery of trusted data products for reporting, analytics and AI initiatives Build production-ready pipelines and reusable transformation frameworks Design dimensional, Data Vault and semantic models that make data easier to understand and use Make clear technical decisions across performance, cost, security, quality and reliability Improve au

Requirements

  • ● You're an experienced data engineer who enjoys staying close to the technology while helping others do their best work. You can bring structure to ambiguity, weigh technical trade-offs and explain your recommendations in a straightforward way.
  • ● You'll join a cross-functional team where open communication, practical problem-solving and shared ownership matter. You're comfortable challenging ideas constructively, listening to different perspectives and building alignment around solutions that can be reused across the organisation.
  • ● You care about engineering quality, but you also understand the importance of delivering value at pace. Curiosity, sound judgement and a willingness to share what you know will help you thrive in this role.
  • ● What you'll need
  • ● Significant experience in data engineering, ideally seven or more years
  • ● Advanced capability in Python, SQL and dbt
  • ● Strong hands-on experience with Apache Airflow
  • ● Strong knowledge of dimensional modelling, Data Vault and modern data architecture
  • ● A track record of diagnosing complex data and pipeline issues and improving production reliability
  • ● Understanding of data governance, quality, lineage and metadata management
  • ● A relevant qualification or equivalent practical experience
  • ● Exposure to Power BI, retail data, machine learning or AI-enabled analytics would be useful, but isn't essential
  • ● Ready to lead meaningful data work and help shape what comes next Apply now and bring your experience to Bunnings
  • ● You'll be part of a workplace where you'll feel like you belong.
  • ● We love the diversity across our teams, brought together in an inclusive culture guided by our values. We welcome applications from individuals of all ages, cultural backgrounds, abilities, sexual orientations, and gender identities. We strongly encourage Aboriginal and Torres Strait Islander peoples to apply and join us in shaping a workplace that celebrates First Nations voices, perspectives, and contributions. Please note, you must be age 15 or over to apply for a role at Bunnings.
  • ● We're all about fairness at Bunnings, and our team's here to support you every step of the way. If you need any adjustments, just let us know - we're here to help. If you've got the experience, skills, and drive to grow - but don't quite nail every part of the job description - we still want to hear from you. For support, contact us at [email protected] .
  • ● Bunnings reserves the right to close job advertisements at any time, so we encourage you to apply early. We do not accept unsolicited resumes from recruitment agencies, as we have a dedicated internal Talent Acquisition team managing all hiring processes.