Senior Data Engineer Role (Python / Spark / Databricks) - Hybrid - Contract - Banking Role - Senior Data EngineerRate - 850 p/d (Inside IR35)Duration - 6 months with very likely extensionLocation - Hybrid / Liverpool Street (London) - 3 days per week in a Liverpool Street officeAbout the RoleGlobal financial institution seeking a highly skilled Senior Data Engineer to join a growing data engineering function responsible for delivering critical data platforms and analytics capabilities across the business.This is a genuinely hands-on engineering role, requiring strong expertise in Python, Databricks, Spark/PySpark and SQL. The successful candidate will be actively involved in the design, development, optimisation and support of enterprise-scale data platforms, working alongside engineers, architects and business stakeholders to deliver robust and scalable solutions.The role offers the opportunity to work on complex data challenges within a modern cloud-based environment, leveraging the latest data engineering technologies and best practices.Key ResponsibilitiesData Engineering and DevelopmentDesign, develop and maintain scalable data pipelines using Python, Databricks and PySparkBuild and optimise ETL/ELT solutions processing large-scale datasetsDevelop high-quality, reusable code and engineering frameworksDeliver robust, performant and maintainable data solutionsTroubleshoot and resolve complex production and performance issuesSupport the ongoing enhancement and ..... full job details .....