Data Engineer

At Lite n' Easy our goal is to create a healthier Australia by changing the way Australians eat. We make it easy for people to eat well, whether they want to lose weight or simply stay healthy. As a quality driven food company, all of our creative energies go into making our meals as delicious as they are healthy.

The Role

Reporting into our technology team, this role will play a key part in building and maintaining our next-generation data platform.

You will design, develop and optimise data pipelines across Microsoft Fabric and Power BI, helping teams across Lite n' Easy make faster, more confident decisions using trusted data.

What’s in it for you?

• Variety packed role in a fast-paced environment
• Visibility – Working closely with ELT members
• Work on a meaningful data transformation program using modern Microsoft cloud tools.
• Flexible working arrangement
• Meal Discounts, on-site Gym, Health Checks and Physio

Key Responsibilities

• Design, build and maintain reliable ETL/ELT data pipelines using Microsoft Fabric, including Fabric Pipelines, Data Factory and related cloud analytics tools.

• Structure data within Microsoft OneLake/Lakehouse environments, transforming raw operational data into clean, usable reporting layers.

• Partner with business and technology stakeholders to develop high-performing data models and datasets for Power BI reporting.

• Implement data quality checks, validation processes and monitoring to ensure reporting is accurate, timely and trusted.

• Support data governance, security and workspace management practices across the Microsoft Fabric environment.

About You

A confident collaborator who enjoys partnering with senior stakeholders and wants to make a difference …. And get noticed!

• Hands-on experience with Microsoft Fabric and/or the Microsoft data stack, such as Lakehouse, Warehouses, Azure Synapse, Data Factory or Fabric Pipelines.

• Strong SQL skills with the ability to transform, optimise and manage complex datasets.

• Experience using Python and/or PySpark for data engineering, transformation or notebook-based workflows.

• Sound understanding of Power BI, semantic modelling, star schema design and reporting performance considerations.

• A collaborative communication style, with the ability to explain technical concepts clearly to non-technical stakeholders.

If you're excited to take on your next challenge and contribute to one of Australia’s leading food companies, Apply now! Join us in shaping the future of healthy eating in Australia.
Candidates must have full work rights in Australia – Australian Citizen or New Zealand Citizen.