We’re seeking an experienced Data Engineer / Data Modeller to join a growing Data & BI team supporting major business transformation initiatives.
This role will focus on designing up-to-date data models, building scalable transformation pipelines, and mapping data from legacy systems into a recent enterprise data platform. You’ll work closely with both technical and business stakeholders to help shape and deliver high-quality, trusted data solutions across the organisation.

Key Responsibilities:
Design and build ELT/ETL pipelines and scalable data transformation processes
Develop conceptual, logical, and physical data models
Map and migrate data from existing systems into modern target-state models
Support enterprise data transformation and migration initiatives
Maintain data quality, governance, and documentation standards
Collaborate with business stakeholders to understand data requirements and deliver practical solutions
Contribute to the ongoing evolution of the organisation’s cloud data platform





About You You’ll bring strong experience across Data Engineering and Data Modelling, with the ability to work across both technical delivery and business-facing engagements.

Skills & Experience:
Strong SQL and data transformation expertise
Proven experience designing enterprise data models
Experience mapping and transforming data from legacy/source systems
Hands-on experience with ELT/ETL frameworks and cloud data platforms
Experience with Snowflake, dbt, and modern data tooling
Exposure to AI-enabled capabilities within Snowflake or modern data platforms highly regarded
Robust stakeholder communication and problem-solving skills
Experience with Azure, Python, Power BI, or Fivetran advantageous

What's on offer?
Initial 6-month contract (extensions likely)
$800 - $900 p/d
Hybrid work environment, nearby Melbourne CBD

📌 Data Engineer / Data Modeller Melbourne (Australia)
🏢 GRANITE CONSULTING
📍 Australia