Lead Data Engineer

JPMorgan Chase & Co.; London; On-site; GBP 70,000 - 100,000; Full time

Job summary

A leading financial institution in London is seeking a Lead Data Engineer to deliver end-to-end data pipeline solutions. In this role, you will work within a collaborative team, utilizing your expertise in Python, cloud technologies, and data transformation frameworks. The ideal candidate will have formal training in data engineering concepts and experience with regulated environments. This position offers an opportunity to significantly impact digital banking initiatives.

Qualifications

• Recent hands-on experience as a data engineer.
• Experience managing large data volumes and optimizing processing.
• Ability to mentor team members on coding practices.

Responsibilities

• Deliver end-to-end data pipeline solutions on cloud infrastructure.
• Develop secure code to protect customers and systems.
• Monitor and improve system performance continuously.

Skills

Python programming

Stakeholder management

Data transformation frameworks

Cloud technologies

Data governance frameworks

Education

Formal training or certification in data engineering

Tools

AWS cloud services

RESTful APIs

Job description

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 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.

Job Responsibilities

• Deliver end-to-end data pipeline solutions on cloud infrastructure leveraging the latest technologies and industry best practices.
• Use domain modelling techniques to build best-in-class business products.
• Structure software to be understandable, testable, and adaptable.
• Build scalable solutions that avoid single points of failure using architectural patterns.
• Develop secure code to protect customers and systems from malicious actors.
• Investigate and resolve issues promptly, ensuring they do not recur.
• Ensure releases occur with zero downtime for end-users.
• Optimize data read/write operations for performance.
• Monitor and improve system performance continuously.
• Update technologies and patterns regularly to keep systems current.
• Support products throughout their lifecycle, including in production and during incident management.

Required Qualifications, Capabilities & Skills

• Formal training or certification in data engineering concepts and advanced experience.
• Recent hands-on experience as a data engineer.
• Proficiency in Python programming.
• Experience designing and implementing various tests (unit, integration, performance, etc.).
• Excellent communication skills in English.
• Experience with cloud technologies and distributed systems.
• Experience with data transformation frameworks and orchestration tools.
• Experience managing large data volumes and optimizing processing.
• Ability to mentor team members on coding practices and design principles.
• Stakeholder management and work prioritization skills.
• Understanding of event-driven architecture, data streaming, and messaging frameworks.

Preferred Qualifications, Capabilities & Skills

• Experience in regulated environments.
• Experience with AWS cloud services.
• Knowledge of data governance frameworks.
• Understanding of incremental data processing and versioning.
• Knowledge of RESTful APIs and web technologies.

#ICBEngineering #ICBCareers

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 approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their objectives.

We value diversity and inclusion, recognizing that our people are our strength. We are an equal opportunity employer and do not discriminate based on protected attributes. We also accommodate religious practices, mental health, and physical disabilities. For more information, visit our FAQs about accommodations.

About the Team

Our corporate functions cover a diverse range of areas including finance, risk, human resources, and marketing. Our teams are essential to our success, setting our businesses, clients, customers, and employees up for success.