Lead Data Engineer, Python, SQL

JPMorgan Chase

Quick summary

Work type: On-site
Location: London, Greater London, United Kingdom
Posted: 3 days ago
Nearby: 63 roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $187k

$142k most similar roles pay here $224k

This listing doesn't post a salary. Most similar roles pay $161,250–$213,000.

Based on 240 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 436 open roles on FindRole.

Listed pay typically runs $152,000–$215,000 across 230 roles with salary data.

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At a glance

TL;DR · Lead Data Engineer, Python, SQL

Role Posting Log in to save

As a Lead Data Engineer at JPMorgan Chase within the Capital Markets team of GIB, you will lead an agile squad to build and deliver secure, scalable technology solutions using cloud-native microservices. Your day-to-day responsibilities include guiding data engineering practices, leading Agile ceremonies, and leveraging AI capabilities for efficient model design analysis. You will ensure zero-downtime releases while maintaining robust software architecture and adhering to security standards. Key skills required are proficiency in AWS, Databricks, Python, SQL, and NoSQL databases, along with experience in statistical data analysis and modern CI/CD platforms like CircleCI or Jenkins. This role demands expertise in domain modeling, version control systems such as GitHub, and familiarity with standardized data layer practices including Medallion architecture.

Skills

AWS Python SQL Databricks CI/CD GitHub PostgreSQL MongoDB CircleCi Jenkins Medallion architecture NoSQL databases

What you'll do

Lead a team of Data Engineers to meet business delivery goals.
Use AI capabilities to accelerate data platform and model design analysis.
Provide regular updates on project progress to senior stakeholders.
Ensure traceability, auditability, and alignment with security expectations in practices.
Own and deliver secure cloud-native microservice architecture applications.

What we're looking for

Lead a team of Data Engineers in agile environments and conduct Agile ceremonies.
Possess advanced skills in SQL, Python, AWS, Databricks, and modern CI/CD platforms.
Experience with statistical data analysis and enterprise-authorized AI capabilities.
Design scalable cloud-native microservice architecture applications using best practices.
Validate AI-assisted outputs and ensure compliance with data sensitivity requirements.

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