Data Engineer — Microsoft Fabric & Power BI Pipelines

Lite n' Easy; City of Brisbane; Hybrid; AUD 110,000 - 170,000; Full time

Benefits offered by this job

Flexible working arrangement

Meal discounts

On-site gym

Health checks

Physio

Job summary

Lite n' Easy is seeking a data engineer to design, build and optimise our next-generation data platform. You will craft ETL/ELT pipelines with Microsoft Fabric, structure data in Lakehouse/OneLake, and deliver trusted datasets for Power BI reporting.

You'll work with ELT and technology leads, applying strong SQL, Python/PySpark skills and data modelling to drive fast, accurate decision-making across the business.

Qualifications

• Hands-on experience with Microsoft Fabric and/or the Microsoft data stack.
• Strong SQL skills to transform and optimize complex datasets.
• Experience using Python and/or PySpark for data engineering tasks.

Responsibilities

• Design, build and maintain ETL/ELT data pipelines using Microsoft Fabric and related tools.
• Structure data within OneLake/Lakehouse environments for reporting layers.
• Partner with stakeholders to develop high-performing data models for Power BI reporting.
• Implement data quality checks and monitoring to ensure trust in reporting.
• Support data governance and workspace management across the Fabric environment.

Skills

SQL

Python

PySpark

Power BI

Data modelling

Tools

Microsoft Fabric

Data Factory

Azure Synapse

Lakehouse

OneLake

Job description

Lite n' Easy is seeking a data engineer to design, build and optimise our next-generation data platform. You will craft ETL/ELT pipelines with Microsoft Fabric, structure data in Lakehouse/OneLake, and deliver trusted datasets for Power BI reporting.

You'll work with ELT and technology leads, applying strong SQL, Python/PySpark skills and data modelling to drive fast, accurate decision-making across the business.