Copilot Engineer/Specialist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Copilot Engineer/Specialist on a 6-month contract in the City of London, hybrid (3/2 split), offering up to £705 per day. Key skills include Microsoft 365 Copilot experience and Azure services expertise. Certifications required: Microsoft Certified: Azure Solutions Architect Expert and Microsoft 365 Certified: Enterprise Administrator Expert.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
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🗓️ - Date discovered
September 24, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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📄 - Contract type
Fixed Term
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🔒 - Security clearance
Unknown
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📍 - Location detailed
London
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🧠 - Skills detailed
#Power Automate #AI (Artificial Intelligence) #Graph API #Monitoring #Data Access #Data Lake #Leadership #Microsoft Azure #SharePoint #Compliance #REST API #Computer Science #JSON (JavaScript Object Notation) #Azure #REST (Representational State Transfer) #CRM (Customer Relationship Management) #Security #Microsoft Power BI #Scala #Logic Apps #API (Application Programming Interface) #Strategy #Deployment #BI (Business Intelligence) #Documentation
Role description
Copilot Engineer/Specialist City of London Hybrid (3/2 split) 6-months contract Up to £705 per day (via Umbrella) cer Financial are working alongside an international bank who are based in the City of London. They are seeking a Copilot Engineer/Specialist to work with them on a contract. The responsibilities of the Copilot Engineer/Specialist will have: • Lead the technical implementation of Microsoft Copilot solutions across Microsoft 365 (e.g., Word, Excel, Outlook, Teams, SharePoint) and other platforms. • Design and configure secure, scalable, and compliant Copilot deployments tailored to business needs. • Collaborate with IT, security, and business stakeholders to ensure readiness for production rollout. • Architect and implement integrations between Copilot and enterprise systems to enable contextual, intelligent experiences. • Support development and management of custom Copilot extensions and agents using tools such as Microsoft Copilot Studio and Azure OpenAI. • Ensure interoperability across the broader Microsoft ecosystem, including Power BI, Power Automate, and Security Copilot. • Define and enforce governance standards for Copilot usage, data access, and prompt management. • Work closely with security and compliance teams to ensure adherence to organisational and regulatory requirements. • Monitor and manage permissions, data boundaries, and responsible AI practices. • Own the lifecycle of Copilot solutions post-launch, including monitoring, optimisation, and support. • Track adoption, performance, and user feedback to drive continuous improvement. • Provide technical leadership and support for issue resolution and enhancements. • Act as the subject matter expert (SME) for Copilot technologies, advising stakeholders on capabilities, limitations, and best practices. • Support change management and user enablement efforts, including training, documentation, and onboarding. • Stay current with Microsoft’s Copilot roadmap and emerging AI capabilities to inform future strategy. The successful Copilot Engineer/Specialist will have: • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field. • Experience in Microsoft Copilot ecosystem, including Microsoft 365 Copilot, SharePoint Copilot, Teams Copilot, and Security Copilot. • Experience with Microsoft Azure services, particularly Azure OpenAI, Azure AD, and integration services (e.g., Logic Apps, API Management). • Strong knowledge of enterprise architecture, solution design, and system integration. • Microsoft Certified: Azure Solutions Architect Expert • Microsoft 365 Certified: Enterprise Administrator Expert • TOGAF or other architecture frameworks • Expertise in Microsoft Graph API, Microsoft 365 compliance and security, and identity management. • Experience with Copilot Studio and building custom Copilot agents or plugins. • Familiarity with REST APIs, JSON, OAuth, and integration patterns with enterprise systems (e.g., CRM, ERP, data lakes). • Understanding of prompt engineering, grounding techniques, and responsible AI principles.