Senior Data Engineer

A rapidly growing global financial services firm is looking for a Senior Data Engineer as they expand their Enterprise Data Team in the US.With over 3,000 employees globally and more than $2B in annual revenue, the business is continuing to expand its product offering, global footprint and technology capabilities. This is an opportunity to join a growing team and help build out a modern data platform supporting a complex, multi-market trading business.What makes this opportunity exciting?Join a global financial services business experiencing strong growth, with significant investment in technology and data capabilitiesBe part of a greenfield initiative, helping shape the next generation of its data platform and engineering architectureWork with a modern tech stack including Databricks, AWS, Python, SQL, Spark and CI/CDBuild scalable data pipelines supporting business intelligence, advanced analytics, machine learning and AI initiativesTake ownership of engineering standards, automation, data quality and platform performanceCollaborate with Data, AI and Analytics teams on projects with tangible commercial impact across a global markets businessInfluence technical direction from day one, with the opportunity to help establish best practices rather than simply maintain legacy infrastructureWhat we’re looking for:Strong hands-on experience with Databricks and Spark in production environmentsExcellent Python and SQL skillsExperience building scalable data pipelines and lakehouse architecturesKnowledge of CI/CD, automated testing, data quality and observabilityAWS experience preferredFinancial services experience is a plus, particularly within capital markets, trading or other data-intensive environmentsIf you're a Data Engineer looking for a genuine greenfield opportunity where you can build with modern technology, influence architectural decisions and make an impact within a growing global financial services business, please apply directly.