This role will focus on designing modern data models, building scalable transformation pipelines, and mapping data from legacy systems into a new 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
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
- Strong stakeholder communication and problem-solving skills
- Experience with Azure, Python, Power BI, or Fivetran advantageous
- Initial 6-month contract (extensions likely)
- $800 - $900 p/d
- Hybrid work environment, nearby Melbourne CBD
