Lead Data Engineer - Data Platform at JPMC Candidate Experience page

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

14 May, 26

Salary

0.0

Posted On

13 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Kubernetes, Docker, Data Structures, Problem-Solving, Independent Analysis, Flexibility, Kafka, RabbitMQ, Pulsar, Kafka Connect, Spark, Flink

Industry

Financial Services

Description

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 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. 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.

Responsibilities

The role involves building and extending infrastructure to support financial products at scale, including setting up and optimizing data platforms to deliver modern data services for applications. Responsibilities also include serving as a point of contact for regulatory and control aspects and maintaining data pipelines.