AI Data Engineer: Front‑Office Analytics & Data Platforms

Barclays; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Barclays is seeking an AI Data Engineer to build next-generation analytics and AI-ready data platforms on KDB+ that power trading, research, and risk use cases in Markets. You will develop data pipelines, data warehouses, and collaborate with data scientists to deploy ML models in a high‑stakes, low‑latency environment.

The role emphasizes experience with data pipelines, AI use cases, and understanding AI in front-office trading constraints, based in London.

Qualifications

• Experience building data pipelines and applying AI techniques to analytics.
• Experience contributing to AI-related use cases or pilots in front-office environments.
• Understanding of applying AI responsibly within low-latency trading systems.

Responsibilities

• Build and maintain data architectures pipelines for transfer and processing of data.
• Design and implement data warehouses and data lakes with appropriate security measures.

Skills

Data pipelines

AI techniques

Stakeholder collaboration

Low-latency trading systems

Timeseries data

Data governance

Tools

KDB+

Python

Job description

Barclays is seeking an AI Data Engineer to build next-generation analytics and AI-ready data platforms on KDB+ that power trading, research, and risk use cases in Markets. You will develop data pipelines, data warehouses, and collaborate with data scientists to deploy ML models in a high‑stakes, low‑latency environment.

The role emphasizes experience with data pipelines, AI use cases, and understanding AI in front-office trading constraints, based in London.