AI-Driven Data Engineer — Python, Databricks, React

JPMorgan Chase & Co.; Auchentibber; On-site; GBP 65,000 - 120,000; Full time

Job summary

JPMorganChase is seeking a Data Engineer to enhance, build, and deliver scalable data collection, storage, and analytics solutions for CIO, Treasury & Corporate Risk Management. You will maintain critical data pipelines across multiple technical areas and drive AI-powered data initiatives while ensuring security and governance.

You will collaborate with business, technology, and operations partners to accelerate provisioning, prototype analytics, and apply AI tools to improve efficiency and risk

Qualifications

• Formal training or certification on software engineering concepts.
• Experience in Risk Analytics space; familiarity with corporate bond assets and securitisation (CLO, CMBS, RMBS, ABS).
• Proven experience integrating AI-assisted development tools (Claude Code, Copilot) into engineering workflows.
• Experience in data governance, data quality, or analytics transformation programs.
• Strong technical skills in data profiling, analysis, and data management (Python, R, SQL, Spark, Databricks, cloud platforms).
• Understanding of data lineage concepts and metadata management; data cataloguing.
• Proven ability to validate AI outputs and manage data sensitivity; hands-on system design and delivery.

Responsibilities

• Make data available for AI and analytics initiatives, defining requirements and managing dependencies.
• Collaborate with partners to accelerate provisioning through deployment of AI for Data.
• Drive adoption of AI-assisted development tools to accelerate delivery and productivity.
• Prototype and deploy analytics and tooling using AI/ML approaches.
• Implement and manage platform controls including access, security, and SDLC compliance.
• Identify data lineage and provenance to support governance and regulatory needs.
• Drive insights through data flow consolidation and optimization.
• Develop proactive controls to reduce data quality issue resolution time.
• Elevate metadata and semantic layers to support AI and NLQ usage and Mesh architecture.
• Ensure outputs from AI tooling are validated and compliant with data sensitivity requirements.

Skills

Python

SQL

Spark

Data governance

AI tooling integration

Cloud platforms

Data profiling

Stakeholder collaboration

Risk Analytics awareness

Tools

Claude Code

Copilot

Databricks

Graph databases

Vector databases

LLMOps

Job description

JPMorganChase is seeking a Data Engineer to enhance, build, and deliver scalable data collection, storage, and analytics solutions for CIO, Treasury & Corporate Risk Management. You will maintain critical data pipelines across multiple technical areas and drive AI-powered data initiatives while ensuring security and governance.

You will collaborate with business, technology, and operations partners to accelerate provisioning, prototype analytics, and apply AI tools to improve efficiency and risk