Lead Data Engineer — International Consumer Bank (Chase UK)

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 datamodels 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 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, 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 with managing large volumes of data and optimizing data processing

• Understanding of event-base 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.

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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