This could be the very first step towards an exciting new career with us – a fresh beginning. At the Coles Group, these are moments we live for.

Starting good things is what drives our purpose to sustainably feed all Australians so they can lead healthier, happier lives. With a team of 120,000 people and an iconic portfolio of Australia’s most trusted brands, we’re perfectly positioned to turn a promising start into a whole lot more.

Data Engineer – Cloud (36942)

What You’ll Be Doing

The Insights team within the broader Coles Technology team focuses on building data collection and analytics capabilities to uncover customer, products and operational insights, providing data driven support to our users, and enabling Coles to be a data driven organisation.

We are embarking on engineering, enablement, operations and delivery of key data initiatives, building them using market leading cloud technologies, including; MS Azure, Databricks, Snowflake and Spark.

The cloud transformation journey we are in, focuses on democratising and streamlining sharing of data across team and will enable teams to operate more efficiently, provide better insights, and scale with the exponential growth of data.

You will be pivotal in making this happen by

• Design and develop cloud-based applications
• Manage cloud environments in accordance with company security guidelines
• Deploy and debug cloud initiatives as needed in accordance with best practices throughout the development lifecycle
  
  

Good things you’ll need

• At least 4 years relevant software development experience.
• Degree in Computer Science, IT, or similar field
• Solid experience in ETL/ELT processes and pipelines.
• Experience with databases, data views, and data exploration using advanced SQL
• Understanding of database schema design and dimensional data modelling
• Demonstrated experience with at least one programming language (Scala, Python, Java etc)
• Experience with designing and developing reusable ETL framework models
• Exposure to DevOps, CI/CD processes and best practices
• Experience in data quality assurance processes
• Exposure to cloud technologies.