
Global financial services firm
Data Engineer III - Chase UK
必备技能
Python
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 Data Engineer III 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
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Contribute to end-to-end data pipeline solutions on cloud infrastructure leveraging the latest technologies and the best industry practices
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Use domain modelling techniques to allow us to build best in class business products.
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Structure software so that it is easy to understand, test and evolve.
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Build solutions that avoid single points of failure, using scalable architectural patterns.
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Develop secure code so that our customers and ourselves are protected from malicious actors.
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Promptly investigate and fix issues and ensure they do not resurface in the future.
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Make sure our releases happen with zero downtime for our end-users.
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See that our data is written and read in a way that's optimized for our needs.
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Keep an eye on performance, making sure we use the right approach to identify and solve problems.
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Keep us up to date by continuously updating our technologies and patterns.
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Support the products you've built through their entire lifecycle, including in production and during incident management
Required qualifications, capabilities and skills
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Formal training or certification on data engineering concepts and applied experience
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Recent hands-on professional experience as a data engineer
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Experience in coding in a recent version of the Python programming language
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Experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.)
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Excellent written and verbal communicationskills in English
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Understanding of cloud technologies and distributed systems
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Understanding of data transformation frameworks and data pipeline orchestration tools
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Understanding of how to manage and optimize queries for large volumes of data within different kinds of data stores (including relational data stores)
Preferred qualifications, capabilities and skills
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Experience in working in a highly regulated environment / industry
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Understanding of AWS cloud technologies
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Understanding of data governance frameworks
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Understanding of event-base architecture, data streaming and messaging frameworks
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关于JPMorgan Chase

JPMorgan Chase
PublicJPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.
300,000+
员工数
New York City
总部位置
$500B
企业估值
评价
10条评价
3.8
10条评价
工作生活平衡
3.5
薪酬
4.0
企业文化
3.8
职业发展
3.2
管理层
2.8
68%
推荐率
优点
Good benefits and compensation
Supportive colleagues and environment
Flexible work arrangements
缺点
Long hours and heavy workload
Management issues and lack of direction
High stress and expectations
薪资范围
44个数据点
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analytics Solutions Associate
1份报告
$139,000
年薪总额
基本工资
$107,000
股票
-
奖金
-
$139,000
$139,000
面试评价
4条评价
难度
3.0
/ 5
时长
14-28周
录用率
50%
体验
正面 25%
中性 75%
负面 0%
面试流程
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
In-person/Final Interview
5
Offer
常见问题
Behavioral/STAR
Past Experience
Culture Fit
Financial Knowledge
Case Study
最新动态
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