Job Description
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 Director of Data Engineering 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
- Leads data engineering teams to achieve functional technology objectives & keeps us up to date by continuously updating our technologies and patterns.
- Makes strategic decisions that influence teams' resources, budget, tactical operations, and the implementation of processes and procedures
- Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations
- Delivers end-to-end data pipeline solutions on cloud infrastructure leveraging the latest technologies and the best industry practices
- Uses domain modelling techniques to allow us to build best in class business products.
- Structures software so that it is easy to understand, test and evolve and, build solutions that avoid single points of failure, using scalable architectural patterns.
- Develops 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.
- Makes sure our releases happen with zero downtime for our end-users.
- Sees that our data is written and read in a way that's optimized for our needs.
- Keeps 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.
- Supports 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 expert applied experience. In addition, advanced experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise
- Advanced experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise.
- Recent hands-on professional experience as a data engineer.
- Experience in coding in a recent version of the Python programming language.
- Understanding of event-base architecture, data streaming and messaging frameworks.
- Experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.)
- Experience with 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.
- 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.
Preferred qualifications, capabilities & skills
- Experience in working 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
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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.
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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