This role offers the opportunity to work with modern cloud technologies and contribute directly to the data capabilities underpinning Melbourne’s iconic tram network
Job Summary
This role offers the opportunity to work with modern cloud technologies and contribute directly to the data capabilities underpinning Melbourne’s iconic tram network.
You will build and maintain scalable data pipelines within Azure Data Factory while supporting and maintaining data analytics tools and reporting capabilities.
The position involves working across business and technical teams to enhance data models, improve data quality, and ensure data security classifications and controls are adhered to.
Matching Summary
This role offers the opportunity to work with modern cloud technologies and contribute directly to the data capabilities underpinning Melbourne’s iconic tram network.
Skills & Requirements
Must-have
Azure Data Factory expertise
SQL and relational databases
Enterprise-scale data pipelines
Cloud data architectures in Azure
Data quality and enrichment processes
Nice-to-have
Strong communication skills
Stakeholder collaboration
Supporting BI solutions
Data management strategies
Analytical skills with unstructured data
Key Requirements
Minimum 3 years data engineering experience
Experience with Azure Data Lake and Erwin modelling tools
Experience with ELT and ETL for large datasets
Ability to deliver work to timelines, budgets and scope