Jobs

Lead Data Engineer - Python, Pyspark & AWS
GLASGOW, LANARKSHIRE, United Kingdom, GB
·
On-site
·
Full-time
·
3mo ago
Join us to shape the future of payments technology and regulatory reporting. You will have the opportunity to work with cutting-edge cloud platforms and data engineering tools, making a real impact on our business and your career growth. We value your expertise and encourage you to bring your ideas to a team that thrives on innovation and collaboration. At JPMorgan Chase, you will be part of a culture that supports diversity, inclusion, and continuous learning. Take the next step in your journey with us and help deliver trusted technology solutions.
Job Summary:
As a Lead Data Engineer in the Payments Technology Regulatory Reporting team, you will design and deliver secure, scalable cloud technology products. You will collaborate with agile teams to create solutions that support our business objectives and drive continuous improvement. Your work will span multiple technical areas, allowing you to contribute to both team and firm-wide goals. You will help foster a culture of inclusion, respect, and opportunity while advancing your skills in a dynamic environment.
Job Responsibilities:
- Execute software solutions, design, development, and technical troubleshooting
- Create secure, high-quality production code and maintain efficient algorithms
- Produce architecture and design artifacts for complex applications
- Gather, analyze, and synthesize data to develop visualizations and reporting
- Identify hidden problems and patterns in data to drive system improvements
- Work individually or as part of a distributed team to deliver projects on time
- Contribute to software engineering communities and explore emerging technologies
- Promote a team culture of diversity, inclusion, and respect
Required Qualifications, Capabilities, and Skills:
- Hands-on experience in system design, application development, testing, and operational stability
- Proficiency in Python, PySpark, Databricks, or similar data engineering platforms
- Experience with both relational and NoSQL databases
- Knowledge across the data lifecycle
- Ability to develop, debug, and maintain code in large corporate environments
- Understanding of the Software Development Life Cycle
- Familiarity with agile methodologies, including CI/CD, application resiliency, and security
- Demonstrated knowledge of software applications and technical processes within disciplines such as cloud, AI, machine learning, or mobile
Preferred Qualifications, Capabilities, and Skills:
- Exposure to cloud technologies including Databricks, AWS MSK, EC2, EKS, S3, RDS, and Lambdas
- Experience with payment domain streaming systems
- Familiarity with payment regulatory reporting
Why Join Us?
At JPMorgan Chase, you will be part of a team that values your growth, encourages innovation, and supports a diverse and inclusive workplace. We offer opportunities to work on impactful projects and advance your career in a collaborative environment.
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About JPMorgan Chase

JPMorgan Chase
PublicJPMorgan Chase is a multinational investment bank and financial services company that provides banking, investment, and asset management services globally. It is one of the largest banks in the United States by assets and market capitalization.
300,000+
Employees
New York City
Headquarters
Reviews
4.2
10 reviews
Work Life Balance
4.2
Compensation
4.3
Culture
4.5
Career
4.4
Management
4.1
75%
Recommend to a Friend
Pros
Good pay and benefits
Work-life balance
Career advancement opportunities
Cons
Heavy workload at times
Career advancement takes time
Pay could be better in some roles
Salary Ranges
47 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
21 reports
$126,500
total / year
Base
$110,000
Stock
-
Bonus
-
$95,450
$155,250
Interview Experience
4 interviews
Difficulty
2.8
/ 5
Duration
14-28 weeks
Interview Process
1
Application Review
2
HireVue Video Interview
3
Technical/Behavioral Assessment
4
Final Interview Round
5
Offer Decision
Common Questions
Behavioral/STAR
Technical Knowledge
Past Experience
Culture Fit
Case Study
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