AI Data & Semantic Engineer

Method-Resourcing; City Of London; On-site; GBP 107,000 - 111,000; Part time

Job summary

Method Resourcing Ltd in London is seeking a hands-on AI Data & Semantic Engineer to unlock enterprise data value using Microsoft Fabric, Claude Enterprise, and AI agents.

You will build semantic models, map NL questions to metrics, validate AI outputs against Power BI, and scale across ~150 datasets to support enterprise decision-making.

The role is a contract-based, part-time position requiring strong data engineering and governance capabilities.

Qualifications

• Hands-on Microsoft Fabric experience (Lakehouses, Warehouses, pipelines)
• Advanced SQL and dimensional modelling
• Governing metrics and data quality principles
• Experience connecting LLMs/AI agents to structured data

Responsibilities

• Build and optimise semantic models across CRM and PMS data in Microsoft Fabric
• Enable Claude Enterprise and AI agents to query enterprise data
• Map natural-language questions to trusted metrics and relationships
• Validate AI-generated answers against Power BI reports
• Resolve data quality and integration issues with reusable patterns
• Support data services team with technical guidance and knowledge transfer

Job description

AI Data & Semantic Engineer l London 2 days in London a week £580-£600 per day Outside IR-month contract

We're looking for a hands‑on AI Data & Semantic Engineer to help a major professional services organisation unlock the value of its enterprise data through AI.

The organisation has an established Microsoft Fabric platform and is accelerating its adoption of Claude Enterprise. You'll build the semantic models and data integrations that enable AI to answer business questions accurately using trusted enterprise data.

Key responsibilities

• Build and optimise semantic models across CRM and Practice Management System (PMS) data in Microsoft Fabric.
• Enable Claude Enterprise and AI agents to query structured enterprise data.
• Map natural-language questions to trusted metrics, relationships and calculations.
• Validate AI-generated answers against existing Power BI reports.
• Resolve data quality and integration issues, developing reusable patterns for additional datasets.
• Support the wider Data Services team through technical guidance and knowledge transfer.

Essential experience

• Strong hands‑on Microsoft Fabric experience, including Lakehouses, Warehouses, pipelines and semantic models.
• Advanced SQL, dimensional modelling, Power BI and governed business metrics.
• Practical experience connecting LLMs or AI agents to structured enterprise data, beyond document‑based RAG.
• Strong understanding of data quality, governance and access controls.
• Proven ability to build and productionise scalable data solutions.

Desirable: Claude Enterprise, MCP, Fabric data agents or comparable AI-to-data integration technologies.

The opportunity

Validate AI responses against existing Power BI reporting, then scale the capability across approximately 150 additional business questions and further enterprise datasets.

This is a hands‑on engineering role focused on building a scalable, production-ready enterprise AI capability-not another standalone proof of concept.