Lead Data Engineer - Compute Infrastructure & Platforms

Lead Data Engineer - Compute Infrastructure & Platforms

Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
J.P. Morgan

At a Glance

  • Tasks: Lead the development of secure data solutions and maintain critical data pipelines.
  • Company: Join J.P. Morgan, a leader in financial services with a focus on innovation.
  • Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
  • Other info: Work in an agile team within a dynamic and diverse environment.
  • Why this job: Be at the forefront of data engineering and make a significant impact in finance.
  • Qualifications: Experience in data engineering and strong collaboration skills are essential.

The predicted salary is between 63000 - 77000 Β£ per year.

Morgan is seeking a Lead Data Engineer in Greater London to join an agile team focused on building and delivering data collection, storage, access, and analytics solutions in a secure, scalable way.

You will be a core technical contributor maintaining critical data pipelines across multiple business areas.

The role emphasizes data modeling, secure data platform delivery, and strong collaboration within a diverse team.

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Lead Data Engineer - Compute Infrastructure & Platforms employer: J.P. Morgan

As a leading global financial institution, we pride ourselves on fostering a dynamic and inclusive work environment that empowers our employees to excel. The Head of Markets Tax Operations role offers unparalleled opportunities for professional growth, collaboration across diverse teams, and the chance to drive innovation in tax operations while working in vibrant locations like Spain, Italy, and Hungary. Join us to be part of a culture that values excellence, embraces technology, and prioritises employee development, ensuring you can make a meaningful impact in your career.

J.P. Morgan

Contact Details:

J.P. Morgan Recruitment Team

We think you need these skills to ace Lead Data Engineer - Compute Infrastructure & Platforms

Communication Skills
Problem-Solving Skills
Data Engineering
Python
SQL
Data Pipeline Development
API Integration