Lead Data Engineer

Posted 16 Hours Ago
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Bournemouth, Dorset, England
Hybrid
Senior level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
As a Lead Data Engineer, you will create and maintain data collection, storage, and analytics solutions. You are responsible for generating data models, designing and implementing data pipelines, and ensuring effective access control. Your role includes delivering data visualization solutions while collaborating with stakeholders to align on data requirements, all within a culture that values diversity and inclusion.
Summary Generated by Built In

Job Description
Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference.
As a Lead Data Engineer at JPMorgan Chase within Corporate Technology, you are an integral part of a cutting edge team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities

  • Generates data models using firmwide tooling, statistics, and algorithms
  • Works alongside other Data Engineers and stakeholders to develop data extraction and transformation pipelines
  • Delivers data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way
  • Works with key stakeholders to understand key data requirements
  • Designs and implements data solutions, with effective access control and security
  • Designs and implements data visualisation solutions with a focus on User Experience
  • Adds to team culture of diversity, equity, inclusion, and respect


Required qualifications, capabilities, and skills

  • Formal training or certification on Data Engineering concepts and proficient advanced experience
  • Self motivated and driven; capable of managing deliverables as an individual contributor
  • Experience and proficiency across the data lifecycle
  • Advanced at SQL (e.g., joins and aggregations)
  • Working understanding of Cloud platforms e.g. AWS
  • Adept at working with stakeholders to develop a cohesive business requirement that can create testable outcomes
  • Experience working with Big Data; Data Lakes, Data Warehouses, Lakehouses
  • Proficient in Databricks and Python, including concurrency and error handling
  • Experience working with ETL tools
  • Data visualisation tools


Preferred qualifications, capabilities, and skills

  • AWS, Lambdas, Terraform
  • Java
  • Front end development
  • User Experience skills
  • Snowflake, Data modelling
  • Experience working in large scale, global, highly regulated institutions


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

Java
Python
SQL

What the Team is Saying

Nick S.
Lupe C.
Edwin T.
Dawn T.
Meng M.
The Company
HQ: New York, NY
289,097 Employees
Hybrid Workplace
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands.

Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products.

Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com.

©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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