Senior Data Engineer: Real-Time Finance Pipelines (Hybrid)
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Summary
Senior Data Engineer at a fast-growing financial services firm in New South Wales, Australia, who owns the architecture and reliability of high-throughput data systems — designing scalable ETL pipelines and real-time data processing, and advising leadership on data strategy. Core tech: Python and cloud-based ETL; hybrid working arrangement.
A fast-growing financial services firm is seeking a Senior Data Engineer responsible for the architecture and reliability of high-throughput data systems. The role includes designing scalable ETL pipelines, implementing real-time data processing strategies, and collaborating with senior leadership on data strategy. Candidates should have a degree in Computer Science or a related field, strong Python programming skills, and experience with ETL in cloud environments. This position offers a hybrid working arrangement and various employee benefits.