The Client: Australian financial services leader with a technology-first approach. Backed by significant investment in the latest technologies, we’re redefining possibilities through advanced, data-driven innovations. The Role: Build and optimise data models using DBT, ensuring high performance and scalability. Leverage Python to enhance workflows, automate processes, and integrate data sources. Design and deliver operational efficiencies in an AWS Cloud environment Translate large, disparate data sources and implement modern data architecture practices Empower Data Engineering teams with solution design and development of sustainable data products. Address and resolve data access, visualization, and reporting challenges with robust solutions. Collaborate with stakeholders to understand data needs and translate them into business requirements Deliver strategic data outcomes and influence the data analytics strategy This is a Hybrid working environment : 3 days in office / 2 days WFH Ideally, you will have: 7 years experience in data management, data modelling, data warehousing, and data architecture in modern cloud-based data platforms (AWS preferred) Extensive commercial experience in DBT (Data Build Tool) for data transformation, modeling, and analytics. Strong knowledge of AWS Redshift in an enterprise environment Full Australian working rights are required for this role Please click 'Apply' or email helenargyle-network.com for a confidential discussion. THE ARGYLE NETWORK Finding the best talent for the Australian FinTech industry SCR-helen-yuen