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Data Engineer - UK

Photon

United Kingdom

On-site

GBP 60,000 - 90,000

Full time

Yesterday
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Job summary

JPMorgan Chase is seeking a Data Engineer III to join their team in the UK. This role involves building data pipelines and delivering secure, efficient data solutions while collaborating across various banking functions. Ideal candidates should possess solid cloud technology knowledge, experience with Python, and strong communication skills.

Qualifications

  • Hands-on professional experience as a data engineer.
  • Experience in coding using Python.
  • Understanding of data governance frameworks.

Responsibilities

  • Contribute to end-to-end data pipeline solutions.
  • Develop secure code for data solutions.
  • Ensure systems are reliable and optimized.

Skills

Python
Data engineering concepts
Cloud technologies
Data transformation
Distributed systems
Communication

Education

Formal training in data engineering

Tools

AWS
Data pipeline orchestration tools

Job description

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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. 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 onspecific 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

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,

Excellent written and verbal communicationskills in English

Understanding of cloud technologies and distributed systems

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)

Preferred qualifications, capabilities & skills

Experience in working in a highly regulated environment / industry

Understanding of AWS cloud technologies

Understanding of data governance frameworks

Understanding of event-base architecture, data streaming and messaging frameworks

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Created on 10/07/2025 by TN United Kingdom

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