A major Australian Bank is seeking an experienced EDW Data Engineer to join their dynamic data platform team in Sydney. This critical role supports a major cloud migration initiative, moving the bank's enterprise data warehouse capabilities to Azure PaaS.
If you have deep expertise in traditional EDW platforms and are a proven contributor to cloud migration projects, we want to hear from you.
Key Responsibilities
Design, build, and optimize data pipelines and batch integrations for large-scale, business-critical environments using Azure Data Factory (ADF).
Contribute significantly to the migration from on-premises EDW (Teradata/Informatica) to the Azure PaaS platform.
Implement and leverage Azure Synapse Analytics (dedicated and serverless) for enterprise data warehousing solutions.
Apply best practices in dimensional modelling (star/snowflake schemas) and ensure data quality throughout the lifecycle.
Collaborate within an Agile squad environment, providing technical documentation and mentoring junior team members.
Must-Have Skills
5+ years of hands-on experience with enterprise data warehouse (EDW) platforms, specifically Teradata and Informatica.
Expertise in complex SQL development and Teradata performance tuning.
Proven hands-on experience with Azure Synapse Analytics and Azure Data Factory (ADF) orchestration.
Deep knowledge of data warehousing concepts and data modelling techniques.
Experience working on cloud migration projects (on-premises to Azure).
Strong communication skills for stakeholder engagement and technical documentation.
Desirable Attributes
Experience working with Big Data technologies such as PySpark within modern data ecosystems.
At Randstad Digital, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.
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