
Real job — pulled straight from JPMorgan Chase’s careers page · Verified June 18, 2026 · No reposts.
Job description
JPMorgan Chase is hiring a Lead Data Engineer — a full-time, based in London, UK role. Apply directly on JPMorgan Chase's careers page below.
Lead Data Engineer — International Consumer Bank (Chase UK)
Location: LONDON, LONDON, United Kingdom
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 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. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals with a curious mindset and a keen interest in new technology.
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 datamodels 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
• Use domain modelling techniques to allow us to build best in class business
products.
• Structure software so that it is easy to understand, test and evolve.
• Build solutions that avoid single points of failure, using scalable architectural
patterns.
• Develop secure code so that our customers and ourselves are protected from
malicious actors.
• Promptly investigate and fix issues and ensure they do not resurface in the future.
• Make sure our releases happen with zero downtime for our end-users.
• 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.
• Ensure our systems are reliable and easy to operate.
• Keep us up to date by continuously updating our technologies and patterns.
• Support the products you've built through their entire lifecycle, including in
production and during incident management
Required qualifications, capabilities & skills
• 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 communication skills in English
• 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
• Understanding of event-base architecture, data streaming and messaging
frameworks
• Coach other team members on coding practices, design principles, and
implementation patterns that lead to high-quality maintainable solutions.
• Manage stakeholders and effectively prioritize work across multiple work
streams.
Preferred qualifications, capabilities & skills
• Experience in working in a highly regulated environment / industry
• Experience with AWS cloud technologies
• Experience with data governance frameworks
• Understanding of incremental data processing and versioning
• Understanding of RESTful APIs and web technologies
#ICBEngineering #ICBCareers
About Us
J.P. 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. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.About the Organization
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.At JP Morgan Chase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution.Get Data Engineer jobs like this→
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Frequently asked questions
What skills are required for Lead Data Engineer at JPMorgan Chase?
The required skills for Lead Data Engineer at JPMorgan Chase include: Python, Data Engineering, AWS, REST.
What is the seniority level for Lead Data Engineer at JPMorgan Chase?
Lead Data Engineer at JPMorgan Chase is a Manager level position.
How do I apply for Lead Data Engineer at JPMorgan Chase?
You can view the full description and apply for Lead Data Engineer at JPMorgan Chase on EchoJobs: https://echojobs.io/job/jpmorgan-chase-lead-data-engineer-international-consumer-bank-chase-uk-kdauf.


