Job Description

Introduction

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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.

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The Role

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

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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.

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What’s in it for you?

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

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- Design, build and maintain reliable ETL/ELT data pipelines using Microsoft Fabric, including Fabric Pipelines, Data Factory and related cloud analytics tools.
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- Structure data within Microsoft OneLake/Lakehouse environments, transforming raw operational data into clean, usable reporting layers.
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- Partner with business and technology stakeholders to develop high-performing data models and datasets for Power BI reporting.
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- Implement data quality checks, validation processes and monitoring to ensure reporting is accurate, timely and trusted.
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- Support data governance, security and workspace management practices across the Microsoft Fabric environment.
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About You

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

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- Hands-on experience with Microsoft Fabric and/or the Microsoft data stack, such as Lakehouse, Warehouses, Azure Synapse, Data Factory or Fabric Pipelines.
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- Strong SQL skills with the ability to transform, optimise and manage complex datasets.
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- Experience using Python and/or PySpark for data engineering, transformation or notebook-based workflows.
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- Sound understanding of Power BI, semantic modelling, star schema design and reporting performance considerations.
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- A collaborative communication style, with the ability to explain technical concepts clearly to non-technical stakeholders.
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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.
n Candidates must have full work rights in Australia – Australian Citizen or New Zealand Citizen.

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📌 Data Engineer (Brisbane)
🏢 E'volve
📍 Brisbane