Cloud Data Engineer for Finance Sector
We are seeking an experienced Cloud Data Engineer with expertise in designing, building and maintaining scalable data pipelines using Azure Data Factory (ADF).
* Design, build and maintain cloud-based data solutions using ADF.
* Implement Continuous Integration/Continuous Deployment (CI/CD) pipelines and automation using Azure DevOps.
* Collaborate with data analysts, architects and finance stakeholders to develop high-quality, reliable data solutions.
* Ensure data quality, performance and security across all data integration processes.
* Contribute to cloud data architecture and integration strategies across the finance domain.
Requirements:
* Proven experience with Azure Data Factory and Azure DevOps.
* Strong SQL skills and experience with Extract, Transform, Load (ETL)/Extract, Load, Transform (ELT) development.
* Experience with other Azure services such as Data Lake, Synapse and Azure SQL.
* Background in finance or other regulated environments preferred.
* Understanding of cloud-based data architecture and modern data engineering practices.
* Strong problem-solving and collaboration skills.
Benefits:
* Be part of a large Data Modernization project in the finance sector.
* Work with modern Azure technologies in a collaborative team.
* Flexible working arrangements (Brisbane-based is preferred).