Lead Data Engineer

JPMorgan Chase

Quick summary

Work type: On-site
Location: London, United Kingdom
Posted: 4 days ago
Nearby: 63 roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $175k

$130k most similar roles pay here $220k

This listing doesn't post a salary. Most similar roles pay $139,075–$211,200.

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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View all roles at JPMorgan Chase

At a glance

TL;DR · Lead Data Engineer

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As a Lead Data Engineer at JPMorgan Chase in Personal Investing, you will design and build robust cloud-native data platforms that power analytics, regulatory reporting, and data-driven products for hundreds of thousands of UK investors. Your daily tasks include creating scalable data processing frameworks using Python, PySpark, and dbt, optimizing batch and streaming pipelines with Apache Airflow, and ensuring high performance and observability. You will also collaborate closely with product, analytics, and engineering teams to translate business needs into technical solutions, mentor junior engineers, and influence the team’s technical direction through best practices and knowledge sharing. The role requires expertise in cloud services like AWS or Azure, modern data warehousing technologies such as Snowflake and Spark, and containerization tools including Docker and Kubernetes.

Skills

Python PySpark dbt Apache Airflow Terraform Docker Kubernetes SQL AWS Redshift Snowflake Spark Flink Iceberg Hudi CI/CD Kafka AI

What you'll do

Design scalable, reusable data processing frameworks using Python, PySpark, and dbt.
Build and optimize batch and streaming data pipelines for performance and observability.
Develop and operate workflow orchestration tools like Apache Airflow to manage data processes.
Model and transform data for analytics using SQL and dbt to support business intelligence needs.
Implement infrastructure-as-code (e.g., Terraform) to provision and manage cloud-based data platforms.

What we're looking for

8 years of hands-on experience as a data engineer actively coding
Strong software engineering fundamentals including system design and testing strategies
Expertise in Python programming with unit and integration testing skills
Hands-on experience building cloud-based data platforms using major cloud services
Experience with large-scale distributed data processing, modern data warehousing technologies, and SQL-based transformation tools
Demonstrated ability to mentor junior engineers and influence technical direction

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