Lead Data Engineer - Data Platform
at J.P. Morgan
Posted 18 days ago
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- Compensation
- Not specified
- City
- London
- Country
- United Kingdom
Currency: Not specified
Join JPMorgan Chase's Accelerator as a Lead Data Engineer to design, build, and optimize scalable data platforms that support financial products. You will set up data infrastructure and pipelines, leverage open-source tools and cloud technologies, and enable teams to consume modern data services. The role includes responsibility for regulatory and control requirements while driving platform standards and distributed data processing solutions.
Location: LONDON, LONDON, United Kingdom
Out of the successful launch of Chase in 2021, we’re a new team, with a new mission. We’re creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We’re people-first. We value collaboration, curiosity and commitment.
Job Summary:
As a Data Platform Engineer at JPMorgan Chase in the Accelerator business, you will build and extend infrastructure to support financial products at scale. You will set up and optimize data platforms, enabling modern data services for applications, and work closely with teams to identify and address their data needs. You’ll be a key contact for regulatory and control aspects, ensuring our solutions meet compliance requirements while driving innovation.
Job Responsibilities:
- Build infrastructure to support financial products at scale
- Set up and optimize data platforms to provide modern data services for applications
- Use open source products and develop custom solutions when needed
- Help teams identify and leverage data platform capabilities
- Serve as a point of contact for regulatory and control aspects of data
- Set up and maintain data pipelines
Required Qualifications, Capabilities, and Skills:
- Demonstrate strong problem-solving skills and independent analysis
- Show flexibility with tools and languages, adapting to varied technical challenges
- Possess solid knowledge of data structures
- Have experience with either Kubernetes or Docker
Preferred Qualifications, Capabilities, and Skills:
- Experience with at least one cloud platform
- Familiarity with message brokers such as Kafka, RabbitMQ, or Pulsar
- Experience with Kafka Connect
- Experience in setting up data platforms and establishing standards
- Experience with distributed data processing frameworks (e.g., Spark or Flink)
#ICBCareers #ICBEngineering
Empower teams to build scalable financial products by creating and supporting modern data platforms using cutting-edge technologies.
