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- Tasks: Lead the development of innovative data solutions for a transformative banking experience.
- Company: Join JPMorgan Chase, a trusted leader in financial services with a focus on innovation.
- Benefits: Competitive salary, diverse team culture, and opportunities for professional growth.
- Why this job: Make a real impact in digital banking while working with cutting-edge technology.
- Qualifications: 5+ years of data engineering experience and proficiency in Python and AWS.
- Other info: Collaborative environment with a strong emphasis on diversity and inclusion.
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 data models and deliver tailored data solutions that meet business needs.
Responsibilities:- Deliver end-to-end data pipeline solutions on cloud infrastructure, leveraging the latest technologies and best industry practices.
- Use domain modelling techniques 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.
- Ensure releases have zero downtime and keep systems up to date by continuously updating our technologies and patterns.
- Ensure data is written and read in an optimized manner.
- Monitor performance to identify and solve problems, ensuring reliability and ease of operation.
- Support the products through their entire lifecycle, including production and incident management.
- Formal training or certification on data engineering concepts and 5+ years of applied experience.
- Recent hands-on professional experience as a data engineer.
- Experience in Python and designing and implementing tests (unit, component, integration, end-to-end, performance, etc.).
- Excellent written and verbal communication skills in English.
- Experience with AWS 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-driven 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.
- Experience in working in a highly regulated environment / industry.
- Experience with data governance frameworks.
- Understanding of incremental data processing and versioning.
- Understanding of RESTful APIs and web technologies.
About Us: JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. 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.
Lead Data Engineer - Vice President - Chase UK employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer - Vice President - Chase UK
✨Tip Number 1
Network like a pro! Reach out to current employees at JP Morgan Chase on LinkedIn. Ask them about their experiences and any tips they might have for landing the Lead Data Engineer role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for those interviews! Brush up on your Python skills and be ready to discuss your experience with data pipelines and cloud technologies. We recommend practicing common interview questions related to data engineering to boost your confidence.
✨Tip Number 3
Showcase your projects! If you've worked on relevant data engineering projects, make sure to highlight them during your interviews. Discuss the challenges you faced and how you overcame them, especially in a collaborative environment.
✨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 JP Morgan Chase. Don’t miss out on this opportunity!
We think you need these skills to ace Lead Data Engineer - Vice President - Chase UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Data Engineer role. Highlight your experience with data engineering concepts, Python, and AWS cloud technologies. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about transforming digital banking and how your background makes you a great fit for our team. Keep it engaging and relevant to the role.
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—show us how you've used them to solve real-world problems. We love candidates who can demonstrate their solution-oriented mindset, especially in data pipeline solutions.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering concepts, especially around cloud infrastructure and data pipeline solutions. Be ready to discuss your hands-on experience with Python and any relevant frameworks you've used. This is your chance to show off your technical skills!
✨Show 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 built scalable solutions or optimised data processing. This will demonstrate your solution-oriented mindset, which is key for a Lead Data Engineer.
✨Communicate Clearly
Since excellent communication skills are a must, practice explaining your technical projects in simple terms. You might be asked to describe your work to non-technical stakeholders, so being able to convey your ideas clearly will set you apart from other candidates.
✨Understand the Business Context
Familiarise yourself with JP Morgan Chase's business model and how data engineering fits into their goals. Knowing how your role can impact customer experiences and contribute to the bank's success will show that you're not just a techie, but also someone who understands the bigger picture.