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JPMorganChase

Sr Lead Data Engineer

Posted 5 Days Ago
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Hybrid
London, England
Senior level
Hybrid
London, England
Senior level
As a Lead Data Engineer at JP Morgan Chase, you will build data solutions, ensure system reliability, and support product lifecycles while mentoring team members.
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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 the best industry practices
  • Use domain modeling 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 Senior 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.
  • Understanding distributed query engines

Preferred qualifications, capabilities & skills
  • Experience in working in a highly regulated environment / industry
  • Experience with data governance frameworks
  • Experience with AWS cloud technologies
  • Understanding of incremental data processing and versioning
  • Understanding of RESTful APIs and web technologies

#ICBCareers #ICBEngineering
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. Visit our FAQs for more information about requesting an accommodation.
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.

Top Skills

AWS
Cloud Technologies
Data Pipeline Orchestration Tools
Data Transformation Frameworks
Python

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