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- Tasks: Join us as a Data Engineer to build innovative data solutions for banking.
- Company: Be part of JP Morgan Chase, transforming digital banking in the UK and beyond.
- Benefits: Enjoy a collaborative work environment with opportunities for remote work and professional growth.
- Why this job: Make a real impact in the financial sector while working with cutting-edge technology.
- Qualifications: Must have experience in data engineering, Python coding, and cloud technologies.
- Other info: Ideal for curious minds eager to learn and grow in a diverse team.
The predicted salary is between 36000 - 60000 £ per year.
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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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Data Engineer - UK employer: Photon
Contact Detail:
Photon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - UK
✨Tip Number 1
Familiarise yourself with the latest cloud technologies, especially AWS, as this is crucial for the Data Engineer role at JP Morgan Chase. Consider taking online courses or certifications that focus on cloud infrastructure and data engineering to boost your knowledge.
✨Tip Number 2
Network with current employees or professionals in the financial sector who work with data engineering. Engaging in conversations about their experiences can provide valuable insights and may even lead to referrals.
✨Tip Number 3
Stay updated on industry trends related to data transformation frameworks and data pipeline orchestration tools. Being knowledgeable about the latest technologies will demonstrate your commitment and curiosity during interviews.
✨Tip Number 4
Prepare to discuss your experience with coding in Python and how you've implemented effective testing strategies in previous projects. Be ready to share specific examples that highlight your problem-solving skills and ability to work in a collaborative environment.
We think you need these skills to ace Data Engineer - UK
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications required for the Data Engineer position at JP Morgan Chase. Tailor your application to highlight relevant experiences and skills that align with their needs.
Highlight Relevant Experience: In your CV and cover letter, emphasise your hands-on experience with data engineering concepts, particularly in Python programming, cloud technologies, and data pipeline orchestration tools. Use specific examples to demonstrate your expertise.
Showcase Communication Skills: Since excellent written and verbal communication skills are essential for this role, ensure your application is well-structured and free of errors. Clearly articulate your thoughts and experiences to reflect your ability to communicate effectively.
Tailor Your Cover Letter: Craft a personalised cover letter that connects your background to the company's mission and values. Mention your interest in the financial sector and how your skills can contribute to delivering an outstanding banking experience for customers.
How to prepare for a job interview at Photon
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with data engineering concepts, particularly in Python and cloud technologies. Bring examples of projects where you've built data pipelines or worked with data transformation frameworks.
✨Understand the Financial Sector
Demonstrate your interest in the financial industry by discussing current trends or challenges in digital banking. This shows that you are not only technically proficient but also engaged with the sector's needs.
✨Communicate Clearly
Since excellent communication skills are essential, practice explaining complex technical concepts in simple terms. This will help you connect with interviewers who may not have a technical background.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that assess your problem-solving abilities. Think through how you would approach issues like optimising queries for large datasets or ensuring zero downtime during releases.
