Mid/Senior Data Engineer building scalable data pipelines on GCP for financial clients.
Design and maintain enterprise data solutions using Python, Spark, and Hadoop in cloud environments. You'll develop ETL workflows, manage large distributed datasets, and collaborate with architects and analysts on complex financial services projects. Requires 4-6+ years of hands-on data engineering experience and strong GCP knowledge.
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Found at a specialist agency · listed 29 September 2026 · InsideJobs links you to the original posting.