Lead Data Warehouse Engineer — Scalable & AI‑Driven

J.P. MORGAN; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

J.P. Morgan is seeking a Principal Data Engineer to lead data engineering excellence across enterprise platforms. You will shape data collection, storage, access, and analytics at scale while collaborating with senior stakeholders to drive trusted insights.

You will guide end-to-end data pipelines, apply advanced modeling, and champion AI-assisted validation and governance practices in a fast-paced environment.

Qualifications

• Experience designing and delivering large-scale data warehouses in enterprise environments.
• Proven ability to lead end-to-end data pipelines and architectures.
• Experience as a Principal Engineer or Technical Delivery Lead is a plus.
• Excellent communication of complex concepts to senior leaders.
• Strong understanding of data management, security, and governance.

Responsibilities

• Partner with architects to convert design into delivery roadmaps.
• Design and optimize enterprise data warehouses for scalability and performance.
• Develop data pipelines and ETL processes for secure architectures.
• Apply data modeling techniques to derive actionable insights.
• Collaborate with cross-functional teams to integrate data solutions.
• Evaluate data visualization tools for stakeholder impact.
• Mentor junior engineers and promote continuous learning.
• Champion diversity, inclusion, and a respectful workplace.
• Leverage AI capabilities to accelerate data architecture and validation.
• Lead reuse-first AI-assisted validation and documentation practices.

Skills

Data engineering

Data pipelines

ETL processes

SQL

Python

Spark

Cloud platforms

AI capabilities

Mentorship

Communication to leaders

Education

Advanced degree in Computer Science or related field

Tools

Databricks

Apache Iceberg

CI/CD tooling

Infrastructure as Code

Kafka

Kinesis

Job description

J.P. Morgan is seeking a Principal Data Engineer to lead data engineering excellence across enterprise platforms. You will shape data collection, storage, access, and analytics at scale while collaborating with senior stakeholders to drive trusted insights.

You will guide end-to-end data pipelines, apply advanced modeling, and champion AI-assisted validation and governance practices in a fast-paced environment.