Lead Data Engineer - Pyspark / AWS / Python / SAS - Financial Sector As a Lead PySpark Engineer, you will design, develop, and fix complex data processing solutions using PySpark on AWS. You will work hands-on with code, modernising legacy data workflows and supporting large-scale SAS-to-PySpark migrations. The role requires strong engineering discipline, deep data understanding, and the ability to deliver production-ready data pipelines in a financial services environment. Essential Skills PySpark & Data Engineering Minimum 5+ years of hands-on PySpark experience. SAS to Pyspark migration experience Proven ability to write production-ready PySpark code. Strong understanding of data and data warehousing concepts, including: ETL/ELT, Data models, Dimensions and facts, Data marts, SCDs Spark Performance & Optimisation Strong knowledge of Spark execution concepts, including partitioning, optimisation, and performance tuning. Experience troubleshooting and improving distributed data processing pipelines. Python & Engineering Quality Strong Python coding skills...