1 to 25 of 4,209 Azure Jobs in England

Senior Infrastructure Engineer - Azure | Greater Manchester | £50,000 - £61,000 | Hybrid | Castlefield are currently supporting a Growing public Sector … organisation in their search for a senior infrastructure Engineer - Azure on a full-time permanent basis. Key Responsibilities: Designed and architected end-to-end cloud solutions on Microsoft Azure to meet business and strategic objectives. Deployed, configured, and maintained Azure services, including Virtual Machines, App Services, AKS, Azure Functions, Logic Apps, Azure AD, Virtual Networks … Skills: Bachelor’s degree in Computer Science, IT, or related field, or equivalent work experience. 5+ years in IT infrastructure or cloud engineering, including 3+ years hands-on Microsoft Azure experience. Expertise in Azure-native services, cloud networking, security, and automation. Proficiency with PowerShell, Azure CLI, and/or Python scripting. Solid understanding of DevOps principles, tools More ❯

automation experience with Octopus Deploy. Awareness of code quality and analysis tools (e.g., SonarQube). Background with job scheduling platforms such as Control-M. Experience with major cloud providers (Azure, AWS, GCP). Familiarity with VMware (vSphere) and storage area networks. Previous experience in financial services would be advantageous, though not a requirement. This is an exceptional opportunity to More ❯

learn Desirable Skills Experience with Atlassian tools (Bitbucket, JIRA) Artifact storage knowledge (Artifactory) Familiarity with Octopus Deploy Experience with static analysis tools (e.g., SonarQube) Control-M experience Cloud experience (Azure, AWS, or GCP) VMware (vSphere) and SAN experience More ❯

Chef, Maven, Ant, Ivy, and UrbanCode would be advantageous. Experience in DevSecOps, including secret management, tools integration to harden the baseline, and privilege management. Associate-level cloud certification in Azure or AWS. Hands-on experience in Azure and AWS cloud technologies, including compute, networking, storage, and security services. Expertise in designing and implementing continuous delivery and/or … of the DevOps implementation. Resolve and escalate issues as necessary. Undertake necessary trainings and certifications on latest technologies We are looking for experience in the following skills: Familiarity with Azure and/or AWS CLI and SDK tools. Knowledge of Linux and Windows server operating systems. Expertise in scripting languages such as Python, PowerShell & Shell. Strong incident fault finding … skills and experience. Familiarity with ITSM, Agile methodologies and tools eg Azure DevOps, ServiceNow Good communication and problem-solving skills. What’s in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes up to 30 days’ vacation per year, private medical insurance and 3 extra days More ❯

years Job Summary : We are seeking a highly skilled and experienced Senior Data Engineer to join our team and contribute to the development and maintenance of our cutting-edge Azure Databricks platform for economic data. This platform is critical for our Monetary Analysis, Forecasting, and Modelling activities. The Senior Data Engineer will be responsible for building and optimising data … pipelines, implementing data transformations, and ensuring data quality and reliability. This role requires a strong understanding of data engineering principles, big data technologies, cloud computing (specifically Azure), and experience working with large datasets. Key Responsibilities : Data Pipeline Development & Optimisation : Design, develop, and maintain robust and scalable data pipelines for ingesting, transforming, and loading data from various sources (e.g., APIs … databases, financial data providers) into the Azure Databricks platform. Optimise data pipelines for performance, efficiency, and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies. Develop and maintain data processing logic for cleaning, enriching, and aggregating data. Ensure data consistency More ❯

years Job Summary : We are seeking a highly skilled and experienced Senior Data Engineer to join our team and contribute to the development and maintenance of our cutting-edge Azure Databricks platform for economic data. This platform is critical for our Monetary Analysis, Forecasting, and Modelling activities. The Senior Data Engineer will be responsible for building and optimising data … pipelines, implementing data transformations, and ensuring data quality and reliability. This role requires a strong understanding of data engineering principles, big data technologies, cloud computing (specifically Azure), and experience working with large datasets. Key Responsibilities : Data Pipeline Development & Optimisation : Design, develop, and maintain robust and scalable data pipelines for ingesting, transforming, and loading data from various sources (e.g., APIs … databases, financial data providers) into the Azure Databricks platform. Optimise data pipelines for performance, efficiency, and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies. Develop and maintain data processing logic for cleaning, enriching, and aggregating data. Ensure data consistency More ❯

years Job Summary : We are seeking a highly skilled and experienced Senior Data Engineer to join our team and contribute to the development and maintenance of our cutting-edge Azure Databricks platform for economic data. This platform is critical for our Monetary Analysis, Forecasting, and Modelling activities. The Senior Data Engineer will be responsible for building and optimising data … pipelines, implementing data transformations, and ensuring data quality and reliability. This role requires a strong understanding of data engineering principles, big data technologies, cloud computing (specifically Azure), and experience working with large datasets. Key Responsibilities : Data Pipeline Development & Optimisation: Design, develop, and maintain robust and scalable data pipelines for ingesting, transforming, and loading data from various sources (e.g., APIs … databases, financial data providers) into the Azure Databricks platform. Optimise data pipelines for performance, efficiency, and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies. Develop and maintain data processing logic for cleaning, enriching, and aggregating data. Ensure data consistency More ❯

years Job Summary : We are seeking a highly skilled and experienced Senior Data Engineer to join our team and contribute to the development and maintenance of our cutting-edge Azure Databricks platform for economic data. This platform is critical for our Monetary Analysis, Forecasting, and Modelling activities. The Senior Data Engineer will be responsible for building and optimising data … pipelines, implementing data transformations, and ensuring data quality and reliability. This role requires a strong understanding of data engineering principles, big data technologies, cloud computing (specifically Azure), and experience working with large datasets. Key Responsibilities : Data Pipeline Development & Optimisation: Design, develop, and maintain robust and scalable data pipelines for ingesting, transforming, and loading data from various sources (e.g., APIs … databases, financial data providers) into the Azure Databricks platform. Optimise data pipelines for performance, efficiency, and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies. Develop and maintain data processing logic for cleaning, enriching, and aggregating data. Ensure data consistency More ❯

years Job Summary : We are seeking a highly skilled and experienced Senior Data Engineer to join our team and contribute to the development and maintenance of our cutting-edge Azure Databricks platform for economic data. This platform is critical for our Monetary Analysis, Forecasting, and Modelling activities. The Senior Data Engineer will be responsible for building and optimising data … pipelines, implementing data transformations, and ensuring data quality and reliability. This role requires a strong understanding of data engineering principles, big data technologies, cloud computing (specifically Azure), and experience working with large datasets. Key Responsibilities : Data Pipeline Development & Optimisation: Design, develop, and maintain robust and scalable data pipelines for ingesting, transforming, and loading data from various sources (e.g., APIs … databases, financial data providers) into the Azure Databricks platform. Optimise data pipelines for performance, efficiency, and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies. Develop and maintain data processing logic for cleaning, enriching, and aggregating data. Ensure data consistency More ❯

point of contact for platform-related incidents, requests, and escalations. Monitor system performance, uptime, and availability using DataDog. Troubleshoot application, API, and infrastructure issues across multiple environments (mainly on Azure). Collaborate with development, DevOps, and product teams to resolve complex technical issues. Manage incident response and provide root cause analysis (RCA) for platform outages. Automate repetitive support tasks … work experience). Proven experience in technical support, site reliability engineering (SRE), or platform operations. Strong knowledge of Linux/Unix and Windows environments. Familiarity with cloud platforms (AWS, Azure, GCP). Hands-on experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Knowledge of scripting languages (Python, Bash, PowerShell). Knowledge of containerization & orchestration (Docker More ❯

custom connectors Integration & Data : REST APIs, SQL Server, SharePoint Online, Excel, Dynamics 365 DevOps & CI/CD : Git, GitLab CI, Azure DevOps, Jenkins, SonarQube, Artifactory Cloud Platforms : Microsoft Azure (preferred), AWS (desirable) Security & Governance : Role-based access control, DLP policies, environment strategy Desirable Skills Experience with Java (Spring Boot, Jersey, Maven) for back-end integration Familiarity with Agile More ❯

Server and MongoDB. Experience designing distributed microservice based architectures. Experience building maintainable codebases using design patterns and modern source control approaches. Using planning tools such as Jira, Github, or Azure DevOps to organise and track your work. High competency in written and oral English language. Desirable Experience with issue and fault management systems. Knowledge and experience of how to … Experience with Manufacturing Resource Planning systems. Experience developing systems with Kafka and stream processing techniques. Experience with Linux and running containers on Kubernetes. Experience with cloud technologies e.g. Microsoft Azure, AWS, or Google Cloud. Personal Attributes Self-motivated with high levels of initiative. Highly productive with the aptitude to understand and apply technology. You enjoy working with people to More ❯

into software solutions. Domain experience in Recruitment Technology, HRTech, or closely related fields is a must. Proficient in software architecture, microservices, RESTful API design, and cloud-native development (AWS, Azure, or GCP preferred). Experience with CI/CD pipelines, automated testing, and DevOps practices. Solid grasp of security best practices, data privacy, and GDPR compliance. Excellent communication skills 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 ❯

Senior Azure Engineer/Cloud Operations Lead – Worthing/Hybrid £70,000 - £75,000 plus benefits/bonus – Hybrid working in Worthing office 2 days per week Core notes: Strength as a lead and strong technically. Azure/Azure Native Services. PaaS. IaaS. Terraform/Infrastructure as Code (IaC). Huge opportunity to grow. Overview of the … Senior Azure Engineer/Cloud Operations Lead position: A large organisation that has far reaching impacts on the environment, the community and our ecosystem, seek an experienced Senior Azure Engineer/Cloud Operations Lead to help play a critical role in the design, implementation, and ongoing operation of the companies cloud infrastructure, with a strong emphasis on Microsoft … Senior Azure Engineer/Cloud Operations Lead position: Bachelor's degree in Computer Science, Information Technology, or a related field or equivalent work experience. Extensive experience with Microsoft Azure cloud services and PaaS/IaaS solutions. Strong knowledge of landing zone architecture and best practices. Proven experience in defining and implementing cloud infrastructure standards and best practices. Infrastructure More ❯

point of contact for platform-related incidents, requests, and escalations. Monitor system performance, uptime, and availability using DataDog. Troubleshoot application, API, and infrastructure issues across multiple environments (mainly on Azure). Collaborate with development, DevOps, and product teams to resolve complex technical issues. Manage incident response and provide root cause analysis (RCA) for platform outages. Automate repetitive support tasks … equivalent work experience). Proven experience in technical support, site reliability engineering (SRE), or platform operations. Strong knowledge of Linux/Unix and Windows environments. Familiarity with cloud platforms (Azure, GCP). Hands-on experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Knowledge of scripting languages (Python, Bash, PowerShell). Knowledge of containerization & orchestration (Docker More ❯

AI Solutions Engineer AI Solutions, B2B, B2C, Azure, AI Foundry, Open-AI, Microsoft Copilot Studio, Machine Learning, Python, TensorFlow, PyTorch, scikit-learn, Large Language Models, LLM, Data preprocessing, REST API, Microservices architecture, MLOps, CI/CD for ML, Power-BI, Docker, Kubernetes, AI Ethics, Cloud Platforms, AWS, Google Cloud Platform, SQL, NoSQL, DevOps, Financial services, Regulatory environments Contract Type … B2C applications. The successful candidates will work under the coordination of the Lead Data Scientist and closely with stakeholders to integrate AI capabilities into existing systems, leveraging advanced Microsoft Azure services. Day-to-day of the role: Design and develop AI solutions using Microsoft Azure services including AI Foundry, Open-AI services, and Microsoft Copilot Studio. Collaborate with … complex concepts to both technical and non-technical stakeholders. Required Skills & Qualifications: Minimum 3 years of experience in AI solution engineering, specifically in enterprise environments. Demonstrable experience with Microsoft Azure AI services, including AI Foundry and Microsoft Copilot Studio. Proficiency in Python and familiarity with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn. Experience with Large Language More ❯

solutions. Manage the full development lifecycle, from requirements gathering and design through to build, testing, and deployment. Oversee the development of complex and mission-critical applications in a Microsoft Azure environment. Support upgrades, maintenance, and optimisation of PowerApps and related cloud platforms. Drive automation and build CI/CD pipelines using modern DevOps practices. Identify and manage technical risks … Skills & Experience Strong proficiency with Microsoft Dynamics 365 CRM modules and Power Platform (Power Apps, Power Automate). Proven experience in C#, .NET and JavaScript Hands-on experience with Azure DevOps, Git, or other CI/CD tools. Demonstrated leadership or mentoring experience within a development team. Strong understanding of software development life-cycle (SDLC) and leading agile sprints More ❯

regulated environment Strong knowledge of SRE principles, incident management, monitoring, and performance tuning Hands-on technical skills across a broad range of technologies, including: Microsoft: C#, VB, .NET Core, Azure, SQL Server, IIS, Windows Server Web: React, RESTful APIs, Docker, Azure Kubernetes Service (AKS) Tools: CI/CD pipelines (Azure DevOps), Dynatrace, Git, Okta, Apigee Excellent communication More ❯

years of experience in solution architecture and/or software engineering across a wide range of technologies, languages, and frameworks Proven experience architecting cloud-native enterprise applications in Microsoft Azure (Azure Solution Architect certification or equivalent is a strong plus) Expertise in C# and the .NET ecosystem , delivering robust enterprise-grade applications Hands-on experience designing distributed microservices …/SSR, and REST APIs Experience designing composable architectures (JAMstack, MACH), enabling scalable, API-first, modular solutions Strong understanding of Identity and Access Management standards (OAuth2, OpenID Connect, SAML, Azure AD, Auth0, Okta) Solid background leading Agile/Lean/Continuous Delivery teams Expertise in CI/CD tools and DevOps practices (e.g., GitHub, Azure DevOps) and driving More ❯

years of experience in solution architecture and/or software engineering across a wide range of technologies, languages, and frameworks Proven experience architecting cloud-native enterprise applications in Microsoft Azure (Azure Solution Architect certification or equivalent is a strong plus) Expertise in C# and the .NET ecosystem , delivering robust enterprise-grade applications Hands-on experience designing distributed microservices …/SSR, and REST APIs Experience designing composable architectures (JAMstack, MACH), enabling scalable, API-first, modular solutions Strong understanding of Identity and Access Management standards (OAuth2, OpenID Connect, SAML, Azure AD, Auth0, Okta) Solid background leading Agile/Lean/Continuous Delivery teams Expertise in CI/CD tools and DevOps practices (e.g., GitHub, Azure DevOps) and driving More ❯

years of experience in solution architecture and/or software engineering across a wide range of technologies, languages, and frameworks Proven experience architecting cloud-native enterprise applications in Microsoft Azure (Azure Solution Architect certification or equivalent is a strong plus) Expertise in C# and the .NET ecosystem , delivering robust enterprise-grade applications Hands-on experience designing distributed microservices …/SSR, and REST APIs Experience designing composable architectures (JAMstack, MACH), enabling scalable, API-first, modular solutions Strong understanding of Identity and Access Management standards (OAuth2, OpenID Connect, SAML, Azure AD, Auth0, Okta) Solid background leading Agile/Lean/Continuous Delivery teams Expertise in CI/CD tools and DevOps practices (e.g., GitHub, Azure DevOps) and driving More ❯

regulated environment Strong knowledge of SRE principles, incident management, monitoring, and performance tuning Hands-on technical skills across a broad range of technologies, including: Microsoft: C#, VB, .NET Core, Azure, SQL Server, IIS, Windows Server Web: React, RESTful APIs, Docker, Azure Kubernetes Service (AKS) Tools: CI/CD pipelines (Azure DevOps), Dynatrace, Git, Okta, Apigee Excellent communication More ❯

web technologies Understanding of the full software development lifecycle Excellent communication and problem-solving skills Experience working within structured development and quality systems Desirable Skills: ASP.NET Core, Visual Studio, Azure DevOps, GitHub JavaScript frameworks (e.g. Vue.js, React) Power BI or SQL Server Reporting Services Cloud technologies and JSON Salary: up to 45K plus 25 days holiday, Company pension, bonus More ❯

requests, branches). Experience with relational and document databases e.g. SQL Server and MongoDB. Experience building maintainable codebases using the SOLID principles and design patterns. Using ALM tools like Azure DevOps to organise and track your work. High competency in written and oral English language. Desirable Experience developing systems with Kafka and stream processing techniques. Familiarity with MATLAB and … Linux and running containers on Kubernetes. Experience designing distributed microservice based architectures. Web development experience using technologies such as JavaScript, TypeScript, and React. Experience using cloud technologies e.g. Microsoft Azure, AWS, or Google Cloud. What can McLaren offer? We constantly strive to be better tomorrow than we are today. Our ambition is to be the most pioneering and exhilarating More ❯