Data engineer building cloud data platforms on Azure with Python and modern architectures.
Build and modernize enterprise data infrastructure on Microsoft Azure, designing end-to-end data pipelines, lake house architectures, and integration patterns for large-scale analytics and ML workloads. Requires 4+ years hands-on experience with Azure cloud services, Python, PySpark, ETL/ELT processes, and data modeling frameworks. Role involves architecture definition, technical standards, data quality governance, and cloud transformation—suited for mid-to-senior engineers comfortable bridging technical design and implementation.
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Found at a specialist agency · listed 11 September 2026 · InsideJobs links you to the original posting.