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 Data Engineer 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

Contribute to end-to-end data pipeline solutions on cloud infrastructure leveraging the latest technologies and the best industry practices Ensure that your code meets 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 3+ years applied experience Recent hands-on professional experience as a data engineer Experience in coding in a recent version of the Python programming language Understanding of cloud technologies and distributed systems Understanding of data transformation frameworks and data pipeline orchestration tools Understanding of how to manage large volumes of data and different kinds of data stores (including relational data stores) Experience in implementing effective tests (unit, component, integration, end-to-end, performance, etc.) Excellent written and verbal communication skills in English

Preferred qualifications, capabilities and skills

Experience in working in a highly regulated environment / industry Understanding of how to optimize data processing Understanding of AWS cloud technologies Understanding of data governance frameworks Understanding of event-base architecture, data streaming and messaging frameworks