Senior Data Engineer

Bunnings

Melbourne

In loco

AUD 120.000 - 170.000

Tempo pieno

3 giorni fa
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Vantaggi offerti da questo lavoro

Team discount at Bunnings and Wesfarm
Free OnePass membership
100+ exclusive team member benefits
12 weeks paid parental leave
Festive gifts and cafe discounts
Career growth opportunities

Descrizione del lavoro

The Senior Data Engineer role at Bunnings sits in the Data, AI, Loyalty and Analytics team. You’ll design reliable data pipelines using Python, SQL, dbt, Airflow and Snowflake to support enterprise reporting and self-service analytics.

You’ll lead technical decisions, coach engineers and influence data solutions across the organization, with opportunities to test ideas and contribute to AI use cases in a collaborative, fast-paced environment.

Competenze

  • Significant experience in data engineering (7+ years) is required.
  • Proficient in Python and SQL with strong problem-solving skills.
  • Ability to design scalable data solutions and collaborate effectively.

Mansioni

  • Lead 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 for clarity and reuse.
  • Make technical decisions around performance, cost, security and reliability.
  • Improve automation across testing, deployment, monitoring and recovery.
  • Coach engineers and share knowledge across cross-functional teams.

Conoscenze

Python
SQL
Problem solving

Formazione

Relevant qualification or equivalent practical experience

Strumenti

dbt
Apache Airflow
Snowflake

Descrizione del lavoro

Join us and experience Bunnings from the other side of the counter!

What’s in it for you when you’re part of our team:

  • Team discount at Bunnings and other Wesfarmers brands including Kmart, Target and Officeworks to name a few
  • Free standard OnePass membership
  • Access to over 100+ exclusive team member benefits across health, shopping, travel and stay, wealth, work and leave
  • 12 weeks paid parental leave, regardless of gender
  • Fun stuff like annual festive gifts, discounted food and drinks at our Bunnings Cafe, and travelling store team member opportunities
  • We’re genuinely invested in your career and no matter where you start with us, that pathway is yours to build
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 automation across testing, deployment, monitoring and recovery
  • Solve complex pipeline, performance and data-quality issues
  • Strengthen documentation, lineage, observability and operational readiness
  • Work with architects, engineers, BI developers, data scientists and business stakeholders
  • Coach engineers through pairing, peer reviews, design guidance and knowledge sharing
  • Identify opportunities to simplify the data environment, reduce technical debt and improve developer productivity
About You

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
  • Experience designing and delivering production data solutions on cloud platforms such as Snowflake
  • Strong knowledge of dimensional modelling, Data Vault and modern data architecture
  • Experience with CI/CD, automated testing, observability and source control
  • A track record of diagnosing complex data and pipeline issues and improving production reliability
  • Experience providing technical leadership, mentoring engineers and influencing cross-functional stakeholders
  • 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

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 jobs@bunnings.com.au.

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.

About Us

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.

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