1 to 25 of 396 Azure Jobs in the City of London

.Net Developer for London, UK location. Role : Dot Net Developer/Lead Location: London, UK(3 Days/week onsite) Desired Industry Experience: 7+ years Relevant Experience: .Net Core, Azure functions, Azure Functions, Microservice Architecture. Job Description: Proven experience as a .NET Core Developer with expertise in Microsoft Azure. Proficiency in C# and .NET Core for server-side … development. Excellent Coding skills and best practices Strong experience of Azure services, including but not limited to Azure App Service, Azure Functions, Azure SQL Database, and Azure DevOps. Experience with containerization technologies (e.g., Docker) and orchestration (e.g., Kubernetes) is a plus. Familiarity with cloud security best practices and compliance requirements. Knowledge of database systems, MS More ❯

Contract £550-600/day (Inside IR35) Databricks Engineer needed with active SC Security Clearance for 6 Month Contract based in Central London (Hybrid). Developing a cutting-edge Azure Databricks platform for economic data modelling, analysis, and forecasting. Start asap ideally in October 2025. Hybrid Working - 2 days/week remote (WFH), and 3 days/week working … the Central London office. A chance to work with a leading global IT and Digital transformation business specialising in Government projects: In-depth Data Engineering + strong hands-on Azure Databricks expertise. Azure Data Services, Azure Data Factory, Azure Blob Storage + Azure SQL Database. Designing, developing, building + optimising data pipelines, implementing data transformations … complex data transformations using Spark, PySpark or Scala + working with SQL/MySQL databases. Experience with data quality, data governance processes, Git version control + Agile development environments. Azure Data Engineer certification preferred -eg- Azure Data Engineer Associate. Advantageous skills: Azure Event Hubs, Kafka, data visualisation tools, Power BI, Tableau, Azure DevOps, Docker, Kubernetes, Jenkins. More ❯

API Integration Enable agents to access and reason over content in: SharePoint, OneDrive, Teams, Outlook, and Planner 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 Enterprise Data … AI Services Integration: Azure AI Search (vector indexing, hybrid search) Azure Form Recognizer for document understanding Azure Language Services for summarization, translation, and NER Deploy solutions using: Azure Kubernetes Service (AKS) or Azure Container Apps Azure Key Vault, Monitor, and RBAC Microsoft Entra ID (Azure AD) for identity and access control The successful … Microsoft Power Platform/Agentic AI Engineer will have experience in: Copilot Studio, Power Automate, Power Apps, custom connectors SharePoint Development Proficiency in Microsoft Graph API, Azure OpenAI, and Semantic Kernel Solid programming skills in Python and/or C# LangChain, AutoGen, or similar orchestration frameworks Azure AI Search, Form Recognizer, and Language Services GitHub Actions, CI/ More ❯

Contract Job Specification: Azure Engineer Role: Azure Engineer Location: London (Hybrid – on-site 2–3 days per week) Contract Type: Initial 6 months (extension likely) Day Rate: Competitive (outside IR35, depending on experience) About the Role We are seeking a skilled Azure Engineer to join our team on a contract basis. The successful candidate will be responsible … role will suit a hands-on engineer with strong technical expertise and a proven track record of delivering enterprise-grade cloud infrastructure projects. Key Responsibilities Design, build, and optimize Azure-based infrastructure and services. Implement and manage Azure networking, storage, compute, and monitoring solutions. Work closely with development and operations teams to support CI/CD pipelines and … infrastructure automation. Ensure security, compliance, and governance best practices are applied across cloud environments. Troubleshoot and resolve issues in Azure environments. Provide technical documentation and knowledge transfer to internal teams. Support migration of workloads to Azure and optimize existing deployments. Required Skills & Experience Proven experience as an Azure Engineer or Cloud Infrastructure Engineer. Strong knowledge of Azure More ❯

Contract Job Specification: Azure Engineer Role: Azure Engineer Location: London (Hybrid – on-site 2–3 days per week) Contract Type: Initial 6 months (extension likely) Day Rate: Competitive (outside IR35, depending on experience) About the Role We are seeking a skilled Azure Engineer to join our team on a contract basis. The successful candidate will be responsible … role will suit a hands-on engineer with strong technical expertise and a proven track record of delivering enterprise-grade cloud infrastructure projects. Key Responsibilities Design, build, and optimize Azure-based infrastructure and services. Implement and manage Azure networking, storage, compute, and monitoring solutions. Work closely with development and operations teams to support CI/CD pipelines and … infrastructure automation. Ensure security, compliance, and governance best practices are applied across cloud environments. Troubleshoot and resolve issues in Azure environments. Provide technical documentation and knowledge transfer to internal teams. Support migration of workloads to Azure and optimize existing deployments. Required Skills & Experience Proven experience as an Azure Engineer or Cloud Infrastructure Engineer. Strong knowledge of Azure More ❯

talented delivery teams to deliver value in: Business-led engagements , to help organisations define business capability and maturity through workflow assessment and process mapping. Microsoft App Innovation (Power Platform, Azure DevOps) Azure Cloud Automation & Infrastructure Modernisation (Azure, Infrastructure as Code, Azure Arc, Azure VMware Solution) Microsoft Fabric for unified data analytics (Purview, Fabric, OneLake, PowerBI More ❯

talented delivery teams to deliver value in: Business-led engagements , to help organisations define business capability and maturity through workflow assessment and process mapping. Microsoft App Innovation (Power Platform, Azure DevOps) Azure Cloud Automation & Infrastructure Modernisation (Azure, Infrastructure as Code, Azure Arc, Azure VMware Solution) Microsoft Fabric for unified data analytics (Purview, Fabric, OneLake, PowerBI More ❯

organisation and a collaborative and forward-thinking IT team. This is a hands-on role focused on designing, building, and integrating modern applications using Microsoft’s Power Platform and Azure technologies. You'll work closely with internal stakeholders across departments to deliver smart, scalable solutions that support digital transformation and operational efficiency. In this role, you'll be responsible … and Responsibilities Designing and developing solutions using Power Apps , Power Automate , Dataverse , Fabric , and Copilot Studio Building and optimising integrations with Dynamics 365 Finance & Operations (D365 F&O) , using Azure Functions and Azure AI models Extending D365 F&O functionality using Power Platform tools and basic X++ development Collaborating with stakeholders to translate business requirements into technical solutions … 3+ years of experience developing with Microsoft Power Platform (Power Apps, Power Automate, Dataverse, Fabric) Strong experience integrating and extending D365 F&O , including basic X++ development Proficiency in Azure Functions , Azure AI models , and other Azure services Strong command of SQL , Power Fx , JavaScript , JSON , and C# Familiarity with tools such as Visual Studio , Git , Azure More ❯

and development of robust full-stack applications and APIs (Python/Django/Flask, React). Champion DevOps practices (CI/CD, Docker, Kubernetes) and cloud-native architectures (AWS, Azure, GCP). Guide cross-functional teams through agile delivery, technical planning, and product development. Translate business requirements into scalable technical solutions that support critical client outcomes. Analytics Engineering Leaders More ❯

and development of robust full-stack applications and APIs (Python/Django/Flask, React). Champion DevOps practices (CI/CD, Docker, Kubernetes) and cloud-native architectures (AWS, Azure, GCP). Guide cross-functional teams through agile delivery, technical planning, and product development. Translate business requirements into scalable technical solutions that support critical client outcomes. Analytics Engineering Leaders More ❯

patterns such as microservices, RESTful APIs, event-driven systems, and clean architecture Experience leading teams in agile delivery environments, ensuring a balance between speed and quality Familiarity with AWS, Azure, and OpenShift, and strong Infrastructure-as-Code skills Excellent stakeholder management, facilitation, and communication skills in secure delivery contexts Clearance Requirement This role requires current and active eDV clearance More ❯

patterns such as microservices, RESTful APIs, event-driven systems, and clean architecture Experience leading teams in agile delivery environments, ensuring a balance between speed and quality Familiarity with AWS, Azure, and OpenShift, and strong Infrastructure-as-Code skills Excellent stakeholder management, facilitation, and communication skills in secure delivery contexts Clearance Requirement This role requires current and active eDV clearance More ❯

Architect/Senior Java Developer with architecture responsibilities . Proven experience with: Java 11+/Spring Boot/Spring Cloud Microservices and containerisation (Docker, Kubernetes, OpenShift) Cloud platforms (AWS, Azure, or GCP) Messaging and integration technologies (Kafka, ActiveMQ, REST, GraphQL) Databases (SQL and NoSQL) Familiarity with enterprise integration patterns and secure system design. Experience working in Agile/DevOps More ❯

Architect/Senior Java Developer with architecture responsibilities . Proven experience with: Java 11+/Spring Boot/Spring Cloud Microservices and containerisation (Docker, Kubernetes, OpenShift) Cloud platforms (AWS, Azure, or GCP) Messaging and integration technologies (Kafka, ActiveMQ, REST, GraphQL) Databases (SQL and NoSQL) Familiarity with enterprise integration patterns and secure system design. Experience working in Agile/DevOps More ❯

experience leading small technical teams , including mentoring and delivery oversight. Strong communication and stakeholder management skills across technical and non-technical audiences. Desirable Experience with multi-cloud environments (AWS, Azure, hybrid). Familiarity with site reliability engineering (SRE) principles and production systems support. Experience driving innovation, technical transformation, and improvements in ways of working. What's on Offer Competitive More ❯

experience leading small technical teams , including mentoring and delivery oversight. Strong communication and stakeholder management skills across technical and non-technical audiences. Desirable Experience with multi-cloud environments (AWS, Azure, hybrid). Familiarity with site reliability engineering (SRE) principles and production systems support. Experience driving innovation, technical transformation, and improvements in ways of working. What's on Offer Competitive More ❯

Flask, or FastAPI) PostgreSQL Experience with building and scaling SaaS platforms in production. Strong background in software architecture, microservices, and API design. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Excellent communication skills, capable of motivating and aligning technical teams. Desirable: Experience with AI tools, APIs, ML pipelines, containerisation (Docker/Kubernetes), event-driven architecture (Kafka More ❯

MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem More ❯

MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem More ❯

communication patterns (e.g., event queues , publish/subscribe ). Experience with CI/CD pipelines, version control systems like Git , and automation tools such as Jenkins , GitHub Actions , or Azure DevOps Pipelines . Expertise in designing, implementing, and maintaining RESTful APIs and microservice interfaces. Strong understanding of cloud security best practices , including access control, encryption, and data protection. Experience More ❯

communication patterns (e.g., event queues , publish/subscribe ). Experience with CI/CD pipelines, version control systems like Git , and automation tools such as Jenkins , GitHub Actions , or Azure DevOps Pipelines . Expertise in designing, implementing, and maintaining RESTful APIs and microservice interfaces. Strong understanding of cloud security best practices , including access control, encryption, and data protection. Experience More ❯

SQL best practices, ELT patterns, and modern data transformation frameworks such as dbt Competence in at least one programming language (Python preferred) for automation. Experience with cloud platforms (AWS, Azure, or GCP), including security, IAM, and storage services Experience deploying and maintaining production pipelines using tools such as Airflow or Dagster Understanding of CI/CD principles, version control More ❯

SQL best practices, ELT patterns, and modern data transformation frameworks such as dbt Competence in at least one programming language (Python preferred) for automation. Experience with cloud platforms (AWS, Azure, or GCP), including security, IAM, and storage services Experience deploying and maintaining production pipelines using tools such as Airflow or Dagster Understanding of CI/CD principles, version control More ❯

build both Canvas and Model-Driven Power Apps. Configure and customise Dynamics 365, SharePoint Online, and Power Pages, including the use of plugins, custom workflow assemblies, JavaScript, and extended Azure/Office 365 capabilities. Work with Microsoft Power BI to support reporting and data visualisation requirements. Maintain an awareness of the broader Microsoft solutions suite and how different products More ❯

Experience with containerization (e.g., Docker ) and container orchestration (e.g., Kubernetes ). Experience in SPAs and responsive web development, particularly with Angular . Familiarity with enterprise messaging systems (e.g., NServiceBus , Azure Service Bus More ❯