At JP Morgan Chase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution. That's why we launched Chase UK to transform digital banking with intuitive and enjoyable customer journeys. With a strong foundation of trust established by millions of customers in the US, we have been rapidly expanding our presence in the UK and soon across Europe. We have been building the bank of the future from the ground up, offering you the chance to join us and make a significant impact.

As a Lead Data Engineer - Vice President at JPMorgan Chase within the International Consumer Bank, you will be part of a team that plays a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals who are solution oriented, with a curious mindset, a passion for collaboration, and a keen interest in new technology. Our team members are naturally solution-oriented and possess an interest in the financial sector and focus on addressing our customer needs. We work in teams focused on specific banking functions and products, providing opportunities to build data pipelines and reporting capabilities for functional areas such as finance and business management, treasury operations, financial crime prevention, regulatory reporting and analytics. We collaborate with product teams such as card payments, electronic payments, lending, customer onboarding, core banking, and insurance to understand their product data models and deliver tailored data solutions that meet business needs.

Job responsibilities

Deliver end-to-end data pipeline solutions on cloud infrastructure leveraging the latest technologies and the best industry practices Ensure that technical design and solutions meet our resiliency, performance, security, testing, quality and scalability standards Support the products you've built through their entire lifecycle, including in production and during incident management

Required qualifications, capabilities and skills

Formal training or certification on software engineering concepts and applied experience Recent hands-on professional experience as a data engineer Experience in coding in a recent version of the Python programming language Experience with cloud technologies and distributed systems Experience with data transformation frameworks and data pipeline orchestration tools Experience with managing large volumes of data and optimizing data processing Experience with event-base architecture, data streaming and messaging frameworks Experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.) Ability to work in a collaborative environment and coach other team members on coding practices, design principles, and implementation patterns that lead to high-quality maintainable solutions Ability to manage stakeholders and effectively prioritize work across multiple work streams Excellent written and verbal communication skills in English

Preferred qualifications, capabilities and skills

Experience in working in a highly regulated environment / industry Experience with data governance frameworks Experience with AWS cloud technologies Understanding of incremental data processing and versioning Understanding of RESTful APIs and web technologies