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Are you interested in joining the dream team at Wesfarmers OneDigital?

Valuable call. We’re an exciting new digital enterprise with big ideas, supporting some of Australia’s most trusted and iconic brands focused on making lives better for people all around Australia. We’re well on our way towards bringing the best of digital and data possibilities together to create more personalized shopping experiences for customers across our retail brands.

We’re continuing to bring the best talent and skills under one roof, working together and across disciplines to build amazing experiences for our customers. We continuously feed off each other’s insights, talents, and capabilities because we are a business that thrives on open collaboration and a shared vision of positive, fun, and rewarding experiences.

Your Chapter Purpose

With plans to transform the Australian retail and industrial landscape comes a big responsibility. We see a future where we are leaders in the data and digital space. It’s why we’ve been working hard to accelerate the development of data, digital, and analytics capabilities across our businesses. We’re focused on harnessing the power of data and transforming it into meaningful insights that enhance our customer experience, strengthen our businesses, and help them pursue new growth opportunities. Our talented and agile team co-create and solve complex problems. It’s innovation to create better experiences for our customers. It’s adding real value that supports decision-making across the Wesfarmers Group,



and its transformational work that’ll change the industries we operate.

What you’ll be doing

In this role, you will be responsible for optimizing data platform engineering and architecture, as well as designing and building data products used by and co-created with cross-functional teams focused on customer outcomes.

You will help evolve our data platform, which is built around technologies like Snowflake, Kafka, Airflow, DBT, Python – and will need continuous improvement as data use cases grow. This will involve closely working with other internal specialized tech teams such as platform engineering and security.

You’ll be collaborating with consumers of the data platform, helping to optimize ease of use, as well as deliver business outcomes through supporting the surfacing of customer insights, and enabling data-driven action. Platform consumers include data analysts, data scientists, and product owners – and will grow in line with our data strategy and principles of decentralization.

Key duties and deliverables:

- Contribute to the data platform product roadmap
- Influence and adopt architectural and engineering principles and ways of working
- Design and implement ingestion and ETL/ELT for batch, micro-batch, and real-time data sources




- Work with key stakeholders in curating data products that meet functional / non-functional business requirements
- Source, cleanse and transform data into a format that can be easily, securely, and sustainably used and analyzed by data users across the business
- Lead the development and delivery of appropriate leading practice data and analytical initiatives in an agile, pragmatic way, reflecting business needs, constraints, and KPIs (e.g. time, quality, value & cost)
- Design and implement a strategic and specific data architecture, patterns, and pipelines that support large-scale analytics
- Develop and maintain data platform and product documentation and definitions as part of ways of working
- Establish and implement engineering principles and practices such as version management, documentation, testing, and CI/CD to enable both quality and speed
- Help define and manage best practices for data engineering, including alignment with governance and data management
- Inform build vs buy decisions around data platform capability
- Anticipate complex issues, challenges, and opportunities with regards to alignment and implementation of vision, strategy, policies, and processes
- Work with stakeholders including Data, Technology, and Customer areas to assist with data platform and data product related technical issues and support their data solution needs
- Collaborate with the internal data and analytics community to strive for greater functionality in the Digital Ecosystem’s data systems
- Coach and mentor team members (2-3 Data Engineers within the team)

What you will need

📌 Senior Data Engineer (Melbourne)
🏢 One Pass
📍 Melbourne