Lead Data Engineer - Compute Infrastructure & Platforms

J.P. MORGAN; Greater London; On-site; GBP 90,000 - 135,000; Full time

Job summary

J.P. 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.

Qualifications

• Working knowledge of infrastructure platforms and enterprise server operating systems.
• Experience with relational and NoSQL databases.
• Experience across the data lifecycle and with backup, recovery, and archiving strategies.
• Preferred: experience in SRE or infrastructure deployment roles.
• Preferred: mid-level data pipeline or analytical product creation experience.
• Preferred: data quality issue root cause analysis experience.

Responsibilities

• Ensures consumers are able to have a high level of trust in the analysis they produce based on the data our product line emits.
• Generates data models for their team using firmwide tooling, linear algebra, statistics, and geometrical algorithms
• Delivers data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way
• Implements database back-up, recovery, and archiving strategy
• Evaluates and reports on access control processes to determine effectiveness of data asset security with minimal supervision
• Adds to team culture of diversity, opportunity, inclusion, and respect

Skills

Infrastructure Platforms

Enterprise Server OS

Relational Databases

NoSQL Databases

Data Lifecycle

Backup/Recovery/Archiving

SRE / Infrastructure Deployment

Data Pipelines

Data Quality Analysis

Job description

J.P. 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.