Job Title

Role: Senior Data Agent Engineer Work type: Remote Employment Type: Contract Role Overview: We are seeking a Senior Data Agent Engineer to support our Microsoft Fabric programme, focused on building, training, and operationalising LLM-powered data agents. The role will work closely with Fabric data platforms, Large Language Models (LLMs), and Node.js-based services to deliver intelligent, secure, and enterprise-ready data agents. This is a hands-on delivery role responsible for translating business questions into AI-driven, databacked insights using Microsoft Fabric. Key Responsibilities: Design, build, and maintain data agents that interact with Microsoft Fabric Lakehouse, Warehouse, and semantic modelsDevelop and optimise LLM-based agents for natural language analytics and data explorationTrain and fine-tune data agents using domain knowledge, business KPIs, and curated datasetsImplement RAG (Retrieval-Augmented Generation) patterns using enterprise Fabric dataBuild and manage Node.js services to orchestrate agent workflows and LLM integrations Ensure agents produce accurate, grounded, and explainable responses Apply enterprise-grade secuarity, governance, and access controls within Fabric Collaborate with data engineers, architects, and analytics teams to support end-to-end delivery Document agent logic, usage patterns, and technical designs Required Skills & Experience: Hands-on experience with Microsoft Fabric (Lakehouse, Warehouse, Delta tables)Strong understanding of LLMs, prompt engineering, and data agent conceptsExperience designing and training data or conversational agentsNode.js experience for building APIs and orchestration layersStrong SQL skills and ability to work with curated analytics datasetsUnderstanding of enterprise data governance and security principles Nice to Have: Experience with Azure OpenAI or similar LLM platformsFamiliarity with Power BI semantic models and DAX (read/understand)Exposure to conversational analytics or Copilot-style solutionsExperience working in large enterprise data programmes What Success Looks Like:Data agents reliably answer business questions using Fabric data Minimal hallucination with strong grounding to enterprise datasets Secure, scalable, and reusable agent designs Clear documentation and smooth integration with analytics platformsIdeal Candidate Profile:Strong engineering mindset with AI and data focus Comfortable working in fast-evolving AI environments Able to bridge business requirements and technical implementationDetail-oriented, delivery-focused, and collaborative