Discover your future at Citi Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact. Job Overview Discover your future at Citi Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact. Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. Role Overview Part of the Enterprise Data organisation, this role leads the engineering of cloud-native data services for the firm's strategic platform, driving the migration to Databricks and delivering scalable Spark/Scala solutions on AWS. The overall objective of this role is to lead applications systems analysis and programming activities. Proven leadership in building and scaling enterprise data services, driving cloud transformation, optimising performance, capacity, and delivering AI enabled operational and analytics platform. Responsibilities: Lead the design, engineering and delivery of next generation cloud data services supporting data pre-processing, advances matching engines, AI/GenAI services and large-scale data platforms. This role will drive transformation of enterprise data capabilities using Databricks, scala/spark and cloud native architectures, ensuring platform is stable, scalable, resilient, secure and AI enabled. As platform landscape evolved towards cloud-native, AI enabled and highly scalable architecture, there is need for dedicated senior engineering capability to design, implement and optimise Databricks/AWS-based data solutions across GRU tech space Develop application methodologies and standards for program analysis, design, coding, testing, debugging, and implementation Utilize advanced knowledge of supported main system flows and comprehensive knowledge of multiple areas to achieve technology goals Consult with end users to identify system function specifications and incorporate into overall system design Allocate work, and act as an advisor/coach developers, analysts, and new team members Influence and negotiate with senior leaders and communicate with external parties Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Skills
Data Engineering Lead (SVP) - Citi in Belfast employer: Citi
Citi is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the Equities Technology team. Employees benefit from cutting-edge technology, opportunities for professional growth, and a culture that values diversity and inclusion. With a focus on high-performance analytics and real-time data solutions, Citi empowers its engineers to make impactful contributions while enjoying a supportive atmosphere in a globally recognized financial institution.
