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Data Engineer, Machine Learning & Data

JPMorgan Chase & Co.
London
2 days ago
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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 III at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. Our engineers 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. Contribute to end-to-end data pipeline solutions on cloud infrastructure leveraging the latest technologies and the best industry practices Structure software so that it is easy to understand, test and evolve. See that our data is written and read in a way that's optimized for our needs. Keep an eye on performance, making sure we use the right approach to identify and solve problems. Formal training or certification on data 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 in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.) Excellent written and verbal communicationskills in English Understanding of data transformation frameworks and data pipeline orchestration tools Understanding of how to manage and optimize queries for large volumes of data within different kinds of data stores (including relational data stores) Experience with ML products/services and data would be best Experience with Python is fine too and willingness to learn Understanding of AWS cloud technologies Understanding of data governance frameworks Understanding of event-base architecture, data streaming and messaging frameworks #Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing.

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National AI Awards 2025

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