Lead Data Engineer - Compute Infrastructure Platforms

JPMorganChase; Greater London; On-site; GBP 95,000 - 150,000; Full time

Job summary

JPMorganChase in London is seeking a Lead Data Engineer to join an agile team to deliver data collection, storage and analytics platforms. You will maintain critical data pipelines across multiple domains and help scale data architectures to support business objectives.

You will collaborate across engineering and business teams to design data models, implement backup/recovery strategies, and promote data quality and security across the organization.

Qualifications

• Working knowledge of Infrastructure Platforms and Enterprise Server Operating Systems.
• Working experience with both relational and NoSQL databases.
• Experience and proficiency across the data lifecycle.
• Experience with database back-up, recovery, and archiving strategy.

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

Relational databases

NoSQL databases

Data lifecycle

Backup & recovery

Job description

JPMorganChase in London is seeking a Lead Data Engineer to join an agile team to deliver data collection, storage and analytics platforms. You will maintain critical data pipelines across multiple domains and help scale data architectures to support business objectives.

You will collaborate across engineering and business teams to design data models, implement backup/recovery strategies, and promote data quality and security across the organization.