1 to 25 of 368 DemandTrendContract Azure Jobs

tenants, including data, emails and MS Teams, from Tenant A to Tenant B. The role also involves SaaS integration of certain business applications and setting up remote desktops in Azure for Devices/hardware. Client Details This is an opportunity to join a professional services firm with a strong presence in the industry. The company is a medium-sized … organisation that values innovation and focuses on delivering exceptional service to its clients. Description Complete the migration of business data and applications to Azure platform. Coordinate with various teams to ensure the accuracy of migrated data. Troubleshoot any issues that may arise during the migration process. Document procedures and outcomes of migration projects. Implement data security and protection measures … support and guidance to team members. Maintain an up-to-date knowledge of migration best practices and technologies. Technical Stack: Microsoft 365: Exchange Online, SharePoint Online, OneDrive, Microsoft Teams. Azure: Azure Entra ID, Azure Virtual Desktop, Azure Storage, Azure Networking. SaaS Applications: Integration with third-party SaaS applications. Migration Tools: Azure Migrate, ShareGate, BitTitan More ❯

Data Engineer to design, build, and optimize data solutions using the Microsoft technology stack. This role focuses on developing scalable ETL pipelines, data models, and cloud-based solutions leveraging Azure Data Factory, Azure Synapse, Azure SQL, and Azure Functions. The ideal candidate will have a strong background in data engineering, cloud architecture, and enterprise data systems. … Key Responsibilities * Design and implement robust ETL pipelines using Azure Data Factory. * Develop and maintain data models and data warehouses using Azure Synapse and Azure SQL. * Build scalable data processing solutions using Azure Functions. * Create interactive dashboards and reports using Power BI. * Collaborate with business and technical teams to gather requirements and translate them into data … storage solutions. * Support and enhance existing data infrastructure and troubleshoot issues. Required Skills & Experience * Minimum of 5 years of experience in data engineering roles. * Strong hands-on expertise in Azure Data Factory, Azure Synapse, Azure SQL, and Azure Functions. * Proficiency in SQL, data modeling, and ETL processes. * Knowledge of cloud-based data architecture and best practices. More ❯

Data Engineer to design, build, and optimize data solutions using the Microsoft technology stack. The role focuses on developing scalable ETL pipelines, data models, and cloud-based solutions leveraging Azure Data Factory, Azure Synapse, Azure SQL, and Azure Functions . The ideal candidate will have a proven background in data engineering, cloud architecture, and enterprise data … systems . Job Role Responsibilities: Design and implement robust ETL pipelines using Azure Data Factory . Develop and maintain data models and warehouses with Azure Synapse and Azure SQL . Build scalable data processing solutions using Azure Functions . Create interactive dashboards and reports with Power BI . Collaborate with business and technical teams to gather … Support and enhance existing data infrastructure, including troubleshooting issues. Experience/Skills/Knowledge/Qualifications: Minimum 5 years’ experience in data engineering roles. Strong hands-on expertise in Azure Data Factory, Azure Synapse, Azure SQL, and Azure Functions . Proficiency in SQL, data modeling, and ETL processes . Knowledge of cloud-based data architecture and More ❯

Data Engineer to design, build, and optimize data solutions using the Microsoft technology stack. The role focuses on developing scalable ETL pipelines, data models, and cloud-based solutions leveraging Azure Data Factory, Azure Synapse, Azure SQL, and Azure Functions . The ideal candidate will have a proven background in data engineering, cloud architecture, and enterprise data … systems . Job Role Responsibilities: Design and implement robust ETL pipelines using Azure Data Factory . Develop and maintain data models and warehouses with Azure Synapse and Azure SQL . Build scalable data processing solutions using Azure Functions . Create interactive dashboards and reports with Power BI . Collaborate with business and technical teams to gather … Support and enhance existing data infrastructure, including troubleshooting issues. Experience/Skills/Knowledge/Qualifications: Minimum 5 years experience in data engineering roles. Strong hands-on expertise in Azure Data Factory, Azure Synapse, Azure SQL, and Azure Functions . Proficiency in SQL, data modeling, and ETL processes . Knowledge of cloud-based data architecture and More ❯

Azure DevOps Engineer £400 - £500/day | Outside IR35 | Hybrid London Bridge (1 day/week) | 6 months+ We're looking for two Azure DevOps Engineers to join a major on-prem to cloud migration programme for a leading client. This is a hybrid role with one day onsite per week at London Bridge, working against a high … level deliverables SOW. You'll be responsible for delivering key elements of the Azure migration, building and optimising cloud infrastructure with Terraform, managing Kubernetes clusters, and ensuring smooth deployment pipelines using Azure DevOps. The role will also involve scripting, Windows Server administration, and collaborating closely with project teams to meet aggressive delivery timelines. As an Azure DevOps … Engineer, you will bring: Proven experience with Azure Cloud Platform and on-prem to Azure migrations Strong skills in Terraform, Kubernetes, and Azure DevOps (Pipelines, Repos, Boards, Artifacts) Windows Server administration and partial scripting (PowerShell/Bash) Experience in CI/CD automation, infrastructure as code, and monitoring in Azure .NET knowledge and Azure Certifications More ❯

Lead Azure Cloud Engineer Location: Hybrid (London-based preferred) Start Date: 06/10 Finish Date: 30/01 SC Clearance: Yes Key Responsibilities Azure Cost Optimisation: Analyse current Azure spend using native tools (Cost Management + Billing, Advisor, etc.) Identify cost inefficiencies and implement strategies such as reserved instances, autoscaling, and workload reallocation Develop forecasting models … and savings plans in collaboration with finance teams Infrastructure Engineering & Automation: Design and deploy scalable Azure infrastructure using Infrastructure as Code (ARM templates, Bicep, Terraform) Build and maintain CI/CD pipelines using Azure DevOps or GitHub Actions Integrate monitoring and alerting via Azure Monitor, Log Analytics, and Application Insights Data Provisioning & Governance: Optimise data pipelines and … storage solutions (e.g., Azure Data Factory, Synapse, Blob Storage) for cost and performance Ensure compliance with data governance policies including RBAC, encryption, and audit logging Collaborate with data engineering teams to streamline provisioning and reduce overhead Stakeholder Engagement: Liaise with DBT’s platform, data, and finance teams to align technical decisions with business objectives Present cost-saving recommendations and More ❯

Design and develop modern, responsive front-end applications from the ground up using React, TypeScript, and Next.js. Build secure, performant user interfaces that integrate with LLM APIs (e.g., Gemini, Azure OpenAI) and internal systems. Implement advanced front-end security features including token handling, session management, data masking, and audit logging. Translate UX/UI designs into modular, reusable components … deliver end-to-end solutions. Ensure compliance with cybersecurity and data privacy standards through secure coding practices and regular code reviews. Deploy applications to GCP (Firebase, Cloud Run) and Azure App Services using CI/CD pipelines hardened for security and compliance. Participate in code reviews, technical design discussions, and architecture planning sessions. Required Knowledge, Skills & Experience Proven experience … AG Grid, Highcharts or similar State Management: Redux Toolkit, React Query, Zustand or similar AI/Cloud Integration: GCP: Vertex AI Gemini API, Firebase Hosting, Google IAM, Secret Manager Azure: Azure OpenAI, Azure App Services, Azure AD authentication Cybersecurity: CSP headers, XSS/CSRF protection, OAuth2 flows, JWT encryption Front-end logging for anomaly detection and More ❯

Design and develop modern, responsive front-end applications from the ground up using React, TypeScript, and Next.js. Build secure, performant user interfaces that integrate with LLM APIs (e.g., Gemini, Azure OpenAI) and internal systems. Implement advanced front-end security features including token handling, session management, data masking, and audit logging. Translate UX/UI designs into modular, reusable components … deliver end-to-end solutions. Ensure compliance with cybersecurity and data privacy standards through secure coding practices and regular code reviews. Deploy applications to GCP (Firebase, Cloud Run) and Azure App Services using CI/CD pipelines hardened for security and compliance. Participate in code reviews, technical design discussions, and architecture planning sessions. Required Knowledge, Skills & Experience Proven experience … AG Grid, Highcharts or similar State Management: Redux Toolkit, React Query, Zustand or similar AI/Cloud Integration: GCP: Vertex AI Gemini API, Firebase Hosting, Google IAM, Secret Manager Azure: Azure OpenAI, Azure App Services, Azure AD authentication Cybersecurity: CSP headers, XSS/CSRF protection, OAuth2 flows, JWT encryption Front-end logging for anomaly detection and More ❯

Job Description: Mandatory Skills: Microsoft Active Directory Admin Experience: 5-8 Years Active Directory/DHCP/DNS/Windows Server Infrastructure Azure Control Plane/Azure AD/Azure DNS/Azure IAAS & DEVOPS Programming in Azure/Microsoft capable languages, such as ARM/Bicep, PowerShell, yaml, Python and a understanding of Azure API's from the data plane HashiCorp Packer Experience and exposure working with DEVOPS CI/CD tools Knowledge on Azure desired state configuration and package management A good understanding of the Azure wider eco system storage, networking, Azure Monitor and Azure Security Centre making progress More ❯

services that power next-generation use cases across client intelligence, document processing, and risk management. You'll work in a greenfield environment, building compliant AI pipelines using Gemini (GCP), Azure OpenAI or Self Hosting embedding security and privacy controls from experimentation to production, in alignment with the bank's cybersecurity and regulatory standards. Accountabilities & Responsibilities Architect and implement secure … cybersecurity and compliance teams in regulated deployments Implemented or maintained controls under ISO 27001, NIST, or SOC2 frameworks Technical Skills & Technologies: Languages & Frameworks Python (FastAPI), LangChain, Google AI SDK, Azure Open AI SDK Cloud & AI Platforms GCP: Vertex AI, Gemini API, Cloud Run, GCS, IAM, Secret Manager, Audit Logs Azure: Azure ML, Azure OpenAI, Key Vault … Azure Policy Experience with Self Hosting LLM Fine-tuning and prompt engineering for LLMs (e.g., GPT, Gemini, Claude) Secure deployment of LLMs via APIs with input/output filtering and logging Integration of LLMs into RAG pipelines, document intelligence, and agentic workflows Use of vector databases (e.g., FAISS, Pinecone, Chroma) for semantic search and retrieval Implementation of grounding, context More ❯

services that power next-generation use cases across client intelligence, document processing, and risk management. You'll work in a greenfield environment, building compliant AI pipelines using Gemini (GCP), Azure OpenAI or Self Hosting embedding security and privacy controls from experimentation to production, in alignment with the bank's cybersecurity and regulatory standards. Accountabilities & Responsibilities Architect and implement secure … cybersecurity and compliance teams in regulated deployments Implemented or maintained controls under ISO 27001, NIST, or SOC2 frameworks Technical Skills & Technologies: Languages & Frameworks Python (FastAPI), LangChain, Google AI SDK, Azure Open AI SDK Cloud & AI Platforms GCP: Vertex AI, Gemini API, Cloud Run, GCS, IAM, Secret Manager, Audit Logs Azure: Azure ML, Azure OpenAI, Key Vault … Azure Policy Experience with Self Hosting LLM Fine-tuning and prompt engineering for LLMs (e.g., GPT, Gemini, Claude) Secure deployment of LLMs via APIs with input/output filtering and logging Integration of LLMs into RAG pipelines, document intelligence, and agentic workflows Use of vector databases (e.g., FAISS, Pinecone, Chroma) for semantic search and retrieval Implementation of grounding, context More ❯

AI solutions using Microsoft's low-code ecosystem. This role focuses on building Copilot Studio agents, Power Automate workflows, and Power Apps that integrate with enterprise systems and leverage Azure OpenAI, Microsoft Graph, and Azure AI services. You will design and orchestrate agentic workflows that automate high-value tasks across banking functions such as compliance, risk, and document … enterprise data. Build and manage custom connectors to internal APIs and third-party services. Agentic Workflow Orchestration Architect multi-step agent workflows using: Semantic Kernel SDK (C# or Python) Azure OpenAI (GPT-4, function calling, chat completion) Planner and Kernel Memory APIs for reasoning and memory RAG pipelines grounded in enterprise data via Azure AI Search Microsoft … access and reason over content in: SharePoint, OneDrive, Teams, Outlook, and Planner Use Microsoft Graph API to retrieve and manipulate enterprise data Enterprise Data & AI Services Integration Integrate with: Azure AI Search (vector indexing, hybrid search) Azure Form Recognizer for document understanding Azure Language Services for summarization, translation, and NER Cloud Engineering & Security Deploy solutions using: Azure More ❯

AI solutions using Microsoft's low-code ecosystem. This role focuses on building Copilot Studio agents, Power Automate workflows, and Power Apps that integrate with enterprise systems and leverage Azure OpenAI, Microsoft Graph, and Azure AI services. You will design and orchestrate agentic workflows that automate high-value tasks across banking functions such as compliance, risk, and document … enterprise data. Build and manage custom connectors to internal APIs and third-party services. Agentic Workflow Orchestration Architect multi-step agent workflows using: Semantic Kernel SDK (C# or Python) Azure OpenAI (GPT-4, function calling, chat completion) Planner and Kernel Memory APIs for reasoning and memory RAG pipelines grounded in enterprise data via Azure AI Search Microsoft … access and reason over content in: SharePoint, OneDrive, Teams, Outlook, and Planner Use Microsoft Graph API to retrieve and manipulate enterprise data Enterprise Data & AI Services Integration Integrate with: Azure AI Search (vector indexing, hybrid search) Azure Form Recognizer for document understanding Azure Language Services for summarization, translation, and NER Cloud Engineering & Security Deploy solutions using: Azure More ❯

KEDA (Kubernetes-based Event Driven Autoscaler), and familiarity with Celery for distributed task execution and background job processing, particularly in data pipeline or microservices environments Hands-on experience with Azure cloud services, especially Azure Data Factory, Azure Databricks, Azure Storage, and Azure Synapse. Proficiency in designing and deploying CI/CD pipelines using Azure More ❯

JPA. Hands-on experience with RESTful APIs, Microservices architecture, and messaging systems (Kafka, RabbitMQ, etc.). Proficiency in RDBMS (Oracle, MySQL, PostgreSQL) and SQL. Exposure to cloud platforms (AWS, Azure, GCP) is a plus. Familiarity with CI/CD pipelines, DevOps tools (Jenkins, Git, Docker, Kubernetes). Solid understanding of Agile methodologies and SDLC best practices. Strong problem-solving More ❯

enterprise data. Build and manage custom connectors to internal APIs and third-party services. Agentic Workflow Orchestration Architect multi-step agent workflows using: - Semantic Kernel SDK (C# or Python) - Azure OpenAI (GPT-4, function calling, chat completion) - Planner and Kernel Memory APIs for reasoning and memory - RAG pipelines grounded in enterprise data via Azure AI Search Microsoft … and reason over content in SharePoint, OneDrive, Teams, Outlook, and Planner. utilise Microsoft Graph API to retrieve and manipulate enterprise data efficiently. Enterprise Data & AI Services Integration Integrate with Azure AI Search, Azure Form Recognizer, and Azure Language Services for enhanced document understanding and summarization. Cloud Engineering & Security Deploy solutions using Azure Kubernetes Service (AKS) or … Azure Container Apps. Ensure robust security with Azure Key Vault, Microsoft Entra ID, and best practises in identity and access control. What We're Looking For Technical Skills & Technologies: Strong experience with Power Platform, including Copilot Studio, Power Automate, Power Apps, and custom connectors. Proficiency in Microsoft Graph API, Azure OpenAI, and Semantic Kernel. Solid programming skills More ❯

enterprise data. Build and manage custom connectors to internal APIs and third-party services. Agentic Workflow Orchestration Architect multi-step agent workflows using: - Semantic Kernel SDK (C# or Python) - Azure OpenAI (GPT-4, function calling, chat completion) - Planner and Kernel Memory APIs for reasoning and memory - RAG pipelines grounded in enterprise data via Azure AI Search Microsoft … and reason over content in SharePoint, OneDrive, Teams, Outlook, and Planner. utilise Microsoft Graph API to retrieve and manipulate enterprise data efficiently. Enterprise Data & AI Services Integration Integrate with Azure AI Search, Azure Form Recognizer, and Azure Language Services for enhanced document understanding and summarization. Cloud Engineering & Security Deploy solutions using Azure Kubernetes Service (AKS) or … Azure Container Apps. Ensure robust security with Azure Key Vault, Microsoft Entra ID, and best practises in identity and access control. What We're Looking For Technical Skills & Technologies: Strong experience with Power Platform, including Copilot Studio, Power Automate, Power Apps, and custom connectors. Proficiency in Microsoft Graph API, Azure OpenAI, and Semantic Kernel. Solid programming skills More ❯

equivalent programming languages. Strong knowledge of data governance, data security, and compliance frameworks. Expertise in Master & Reference Data Management and Data Quality best practices. Cloud-based architecture experience (AWS, Azure, or GCP). Experience implementing data management frameworks and operating models. Desirable: Master's degree or DAMA certification (CDMP).Proven expertise with Workday product and data integrations. Experience across More ❯

knowledge/experience: (As applicable) * Experience with asynchronous programming (e.g., asyncio, Celery). * Exposure to message brokers like SQS/SNS. * Certifications in cloud technologies or architecture (AWS/Azure Architect, TOGAF, etc.). * Experience/Understanding about integration patterns etc. * Proficient in java versions: JDK 17/21 with strong background OOP concept by working on various stages More ❯

and Microsoft Dataverse Experience developing and consuming REST APIs, including the Dataverse Web API and Microsoft Graph API Proven experience writing Windows scripts (e.g. PowerShell, batch scripting) Agile (SCRUM) Azure DevOps Strong communication skills and a collaborative mindset Contract Overview Role: Software Developer Length: 5-month contract IR35: Inside IR35 Rate: £330 per day Location: Fully Remote Apply now More ❯

skills/knowledge/experience: *Experience with asynchronous programming (e.g., asyncio, Celery). *Exposure to message brokers like SQS/SNS. *Certifications in cloud technologies or architecture (AWS/Azure Architect, TOGAF, etc.). *Experience/Understanding about integration patterns etc. *Proficient in java versions: JDK 17/21 with strong background OOP concept by working on various stages More ❯

high-quality solutions in an agile environment Continuously look for opportunities to automate, improve, and innovate Requirements Minimum of 7 years’ experience in managing applications in cloud environments (GCP, Azure, or private cloud platforms like OCP) Strong hands-on knowledge of containerisation and orchestration technologies such as Docker and Kubernetes Practical experience with infrastructure as code tools such as More ❯

high-quality solutions in an agile environment Continuously look for opportunities to automate, improve, and innovate Requirements Minimum of 7 years' experience in managing applications in cloud environments (GCP, Azure, or private cloud platforms like OCP) Strong hands-on knowledge of containerisation and orchestration technologies such as Docker and Kubernetes Practical experience with infrastructure as code tools such as More ❯

communication, presentation, and data storytelling skills with strong executive presence. Technical * Strong knowledge of Business Intelligence concepts such as data warehouses, data platforms, reporting, and dashboards. * Expertise with Microsoft Azure data and AI tools including Azure Synapse, Azure SQL Server, Azure Analysis Services, Power BI, and Azure Data Lake. * Experience with relational databases such as More ❯

per week remote but requiring 3 days per week on-site in Reading. The ideal candidate will have good experience in the IT industry with a strong focus on Azure-based architecture, Machine Learning, and MLOps, Deep experience with Azure services, especially Azure Machine Learning, Azure Kubernetes Service (AKS), Azure Data Lake, and Azure More ❯