Data Engineer (AI)

TL;DR

Data Engineer (AI): Building and evolving a new knowledge graph platform to underpin AI capabilities with an accent on data pipelines, APIs, and semantic models. Focus on transforming semantic models into production knowledge graphs and delivering connected data across the organization.

Location: Hybrid (London Area, United Kingdom)

Company

A leading research focused technology firm.

What you will do

• Build and evolve a knowledge graph platform from an existing management tool.
• Develop data pipelines to populate and maintain graph databases.
• Create APIs and interfaces that expose graph data to AI tooling.
• Implement solutions using .NET, C#, React, TypeScript, and PostgreSQL.
• Own CI/CD, DevOps, and deployment across the platform.
• Collaborate with architects and engineers to deliver production-ready solutions.

Requirements

• Proven experience in data engineering.
• Proficiency with .NET, C#, and PostgreSQL.
• Experience with React and TypeScript.
• Knowledge of graph databases and AI tooling.
• Must be based in the London Area, United Kingdom for hybrid work.

Culture & Benefits

• Opportunity to work on a greenfield initiative.
• Role is central to the company's AI strategy.
• Contribute to the next generation of engineering and AI capabilities.