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As a Data Engineer your responsibilities include -
• Effectively collaborate with team members and work independently to ensure customer satisfaction and success.
• Collaborate effectively with Technical Business Analysts and Solution Designers to gather, analyse and validate business requirements, ensuring alignment with project goals and regulatory expectations.
• Lead the SAS CEETL development efforts for the CCU project, including managing Bitbucket branches and overseeing code integration, review, and deployment workflows.
• Design and implement robust SAS ETL solutions to support Basel III initiatives, ensuring data quality, regulatory compliance, and audit readiness.
• Provide production release support by preparing and delivering release instructions for PIAT activities, IRB model runs, and RWA execution cycles.
• Review and monitor team lab environments, ensuring consistent setup and availability during code merges, testing phases, and critical deployment windows.
• Build and deploy automation utilities using Base/Advanced SAS and Python, significantly reducing manual intervention and accelerating the delivery of business-critical processes.
• Engage in solution design discussions and drive alignment by reviewing technical design documents and seeking necessary endorsements from Solution Architects.
• Ensure adherence to project timelines and quality standards by actively contributing to the planning, execution, and review phases of development cycles.
• Demonstrate strong expertise in Credit Risk domain and regulatory frameworks, applying business knowledge to develop scalable and reliable solutions.
• Support and guide development teams by conducting peer reviews, sharing best practices, and ensuring compliance with Westpac’s data engineering standards.
• Maintain strong awareness of timelines and budgets to ensure timely project delivery.
We are currently recruiting Data Engineer-Data Platforms-Azure - Sydney - 18 Month fixed term contract, based in Sydney.
This will be a Full-Time FTH position with an estimated salary range of AUD 93,900 - 143,900.
To ensure success in the role you will possess the following skills -
• Possess 9+ years of technical expertise as a SAS Developer with strong knowledge of Credit Risk and the Banking domain.
• Proficient in Base/Advanced SAS, SQL, RDBMS, and Python, with hands-on experience in automating and optimizing data processing workflows.
• Experienced in developing SAS ETL jobs across BSE to SDL layers within the SRDE environment, with 3+ years successful deployments into production.
• In-depth understanding and practical experience in SRDE architecture, including upstream and downstream data flows, transformation logic, and integration points.
• Well-versed with Agile methodologies and tools such as Bitbucket for version control and Shell scripting for automation and process efficiency.
• Actively contributed to initiatives like SARD code merge, EIM data lineage validation, and SRDE transformation analysis, supporting regulatory and business reporting needs.
• Proven ability to work collaboratively within SDLC, liaising effectively with development teams, QA, Solution Designers, and cross-functional stakeholders.
• A dependable team player with strong communication skills, capable of engaging with all levels of technical and business teams to drive project success.
• Demonstrated knowledge of SAS deployment activities and production support, contributing to seamless transitions from development to delivery.
• Strong commitment to continuous improvement and quality delivery in the data engineering space within the Banking and Finance industry.
• Coordinate with Solution Designers, Tech Leads and Business Analysts regularly to understand and adapt the new implementation processes that are being built to achieve Agile production releases in SRDE platform.