At a Glance
- Tasks: Create innovative data solutions and optimise data pipelines in a collaborative environment.
- Company: Join JPMorgan Chase, a leader in transforming digital banking.
- Benefits: Competitive salary, diverse team, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement opportunities.
- Why this job: Make a real impact in the future of banking with cutting-edge technology.
- Qualifications: Experience in data engineering, Python coding, and cloud technologies required.
The predicted salary is between 70000 - 90000 £ per year.
At JPMorgan Chase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution. 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 Senior Lead 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 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.
Job responsibilities- Deliver end-to-end data pipeline solutions on cloud infrastructure leveraging the latest technologies and best industry practices.
- Use domain modeling techniques to build best-in-class business products.
- Structure software for easy understanding, testing, and evolution.
- Build solutions that avoid single points of failure using scalable architectural patterns.
- Develop secure code to protect our customers and ourselves from malicious actors.
- Promptly investigate and fix issues, ensuring they do not resurface.
- Ensure releases happen with zero downtime for end-users.
- Optimize data writing and reading for our needs.
- Monitor performance, identify and solve problems effectively, and ensure systems are reliable and easy to operate.
- Continuously update technologies and patterns.
- Support products through their entire lifecycle, including production and incident management.
- Formal training or certification in data engineering concepts and applied experience.
- Recent hands-on professional experience as a data engineer.
- Experience coding in a recent version of Python.
- Experience 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 managing large volumes of data and optimizing data processing.
- Understanding of event-based architecture, data streaming, and messaging frameworks.
- Ability to coach team members on coding practices, design principles, and implementation patterns.
- Stakeholder management and effective prioritization across multiple work streams.
- Experience 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.
J.P. Morgan is an equal opportunity employer and places a high value on diversity and inclusion. We do not discriminate on the basis of protected attributes, and we provide reasonable accommodations for applicants and employees as required by law.
Senior Lead Data Engineer employer: J.P. Morgan
At JPMorgan Chase, we pride ourselves on being an exceptional employer that fosters a collaborative and inclusive work culture. As a Senior Lead Data Engineer, you will have the opportunity to work with cutting-edge technologies in a rapidly expanding digital banking environment, while also benefiting from continuous professional development and a strong focus on employee well-being. Join us in shaping the future of banking in the UK and beyond, where your contributions will make a meaningful impact on our customers' experiences.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Lead Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at JPMorgan Chase on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your data engineering projects. This is your chance to demonstrate your coding prowess and problem-solving abilities in a tangible way.
✨Tip Number 3
Ace the interview! Research common data engineering interview questions and practice your responses. Be ready to discuss your experience with cloud technologies and how you've tackled challenges in past projects.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the team at JPMorgan Chase.
We think you need these skills to ace Senior Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Lead Data Engineer role. Highlight your hands-on experience with data engineering, cloud technologies, and any relevant projects that showcase your problem-solving abilities.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about this role and how your background makes you a great fit. Mention specific technologies or methodologies you've worked with that relate to the job description, and don’t forget to show your enthusiasm for joining our team!
Showcase Your Communication Skills:Since excellent communication is key in this role, ensure your written application is clear and concise. Use straightforward language and structure your thoughts logically to demonstrate your ability to convey complex ideas effectively.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s a straightforward process, and it helps us keep track of your application efficiently. Plus, you’ll be one step closer to joining our innovative team!
How to prepare for a job interview at J.P. Morgan
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering concepts and hands-on experience. Be ready to discuss your recent projects, especially those involving cloud technologies and data pipeline orchestration tools. This will show that you're not just familiar with the theory but can apply it in real-world scenarios.
✨Show Off Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex data challenges in the past. Think about specific instances where you optimised data processing or built scalable solutions. This will demonstrate your solution-oriented mindset and ability to think critically under pressure.
✨Communicate Clearly and Confidently
Since excellent communication skills are a must, practice explaining your technical work in simple terms. You might be asked to explain your thought process or decisions during a project, so being able to articulate this clearly will set you apart from other candidates.
✨Understand the Business Context
Familiarise yourself with JPMorgan Chase's products and services, especially those related to the International Consumer Bank. Understanding how your role as a Senior Lead Data Engineer fits into the bigger picture will help you answer questions more effectively and show your genuine interest in the company.
