At a Glance
- Tasks: Create innovative data solutions and enhance customer banking experiences.
- Company: Join J.P. Morgan, a global leader in financial services.
- Benefits: Competitive salary, diverse team culture, and opportunities for growth.
- Other info: Inclusive environment with a focus on diversity and professional development.
- Why this job: Make a real impact in transforming digital 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.
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. Make sure to read thoroughly, then apply.
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 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, identifying and solving 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.
Required qualifications, capabilities and skills
- 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.
Preferred qualifications, capabilities and skills
- 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.
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.
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. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
ABOUT THE TEAM
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.
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We think you need these skills to ace Senior Lead Data Engineer in Bristol
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
