1 to 25 of 4,336 Permanent Azure Jobs in the UK

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 ❯

scale. Key Responsibilities Design and implement automation workflows across analytics platforms. Build and maintain self-serve applications for internal users using product APIs. Integrate and manage cloud-based services (Azure, AWS) across platforms. Develop and maintain REST APIs to enable seamless communication between tools. Monitor system performance and implement improvements to ensure reliability. Collaborate with global teams in Agile … not a general IT automation engineer . They need someone who can automate processes for analytics platforms (Tableau, Power BI, Microsoft Fabric, KNIME) and integrate them with cloud services (Azure, AWS). Skills & Experience Mandatory: Strong programming skills in Python AND (JavaScript, or TypeScript) . Experience with automation, API integration, and workflow orchestration . Hands-on experience with cloud … platforms (Azure and/or AWS). Ability to build and maintain REST APIs and backend services . Familiarity with CI/CD pipelines and version control (GitHub/GitLab). Experience working in an Agile environment . Strong problem-solving and communication skills. Desirable: Experience with Tableau REST API, Power BI REST API, or Microsoft Fabric automation . 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 ❯

infrastructure-related initiatives, ensuring alignment with organizational goals and IT strategies. Design and implement resilient, scalable, and secure infrastructure solutions across on-premises, hybrid, and cloud environments (e.g., AWS, Azure, GCP) for M&A activities. Participate and lead from a Nuveen International perspective, troubleshooting efforts for complex infrastructure issues and ensure root cause analysis and documentation working with TIAA … of infrastructure technologies such as: Networking (Cisco LAN/WAN, WIFI, Palo Alto firewalls, Infoblox, ZScaler) Citrix Workspace/Thin Client Technology Virtualization (VMware, Hyper-V) Cloud platforms (AWS, Azure, GCP) Storage and backup solutions Operating systems (Windows Server, Linux) Active Directory, EntraID Proven experience with automation and infrastructure-as-code tools (e.g., Terraform, Ansible, PowerShell). Excellent analytical … problem-solving, and communication skills Preferred But Not Required At least one Industry certifications such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, Cisco CCNP, VMware VCP, or CompTIA Security+. Experience in regulated industries (e.g., healthcare, finance, government) Familiarity with containerization and orchestration e.g., Docker, Kubernetes) Related Skills Accountability, Adaptability, Business Acumen, Cloud Platforms, IT Business More ❯

scalable environments. A passion for learning, problem-solving, and innovation will be key to your success. You should have experience in: • AWS and GCP (Google Workspace Admin, MDM preferred); Azure desirable • Microsoft Intune and M365 administration (e.g. Entra) • Infrastructure as Code: Terraform, CloudFormation, Deployment Manager, or ARM • Linux and Windows administration • Software development in one or more languages: Java … C#/C++ • Containerisation (Docker, Kubernetes, OpenShift) • Security protocols such as PKI, TLS • Virtualisation tools (VMware, KVM) • Networking fundamentals • Agile methodologies and version control (Git) Desirable: • AWS, GCP, or Azure certifications • Amazon Managed Grafana • JetBrains TeamCity • Google Apps Script #LI-JS2 Together, as owners, let’s turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork 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 ❯

You will play a pivotal role in designing, developing, and integrating AI-driven solutions within enterprise environments. Leveraging your expertise in .NET & C# or Python, data science, and Microsoft Azure, you will help shape the next generation of intelligent applications. The ideal candidate is passionate about innovation, thrives in collaborative settings, and is committed to delivering high-quality, scalable … new team. Gain continuous learning and career growth opportunities. Competitive compensation and benefits package. AI & Software Development Design, develop, and maintain AI-powered applications using .NET, C#, Python, and Azure cloud technologies. Build scalable, maintainable, and high-performance AI solutions for enterprise integration. AI Solution Integration Integrate AI services and frameworks to enhance applications with automation, analytics, and advanced … decision-making. Develop smart applications using Azure Open AI, Cognitive Services, and AI-driven APIs. API Development & Cloud Solutions Develop secure, efficient, and scalable RESTful APIs for AI and enterprise applications. Deploy and manage AI/data solutions using Azure Open AI, Azure Kubernetes Service (AKS), and Azure Container Apps. DevOps & Infrastructure Utilize Azure DevOps More ❯

of networking • Demonstrable troubleshooting and problem solving skills • A passion for learning new technologies and innovation Desirable: • Certifications on Amazon Web Services, including Solutions Architect, Developer, Google Cloud or Azure • Amazon Managed Grafana • JetBrains TeamCity • Google Apps Script • Agile Development #LI-JS2 Together, as owners, let’s turn meaningful insights into action. Life at CGI is rooted in ownership 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 ❯

and client-server. Proficient in Agile methodologies like Scrum and Kanban. Experience in Secure Software Development Lifecycle (SSDLC) and DevOps delivery models. Skilled in CI/CD pipelines using Azure DevOps, Jenkins, and GitHub Actions. Experience with AWS and Azure cloud platforms. Knowledge of infrastructure technologies: load balancers, firewalls and DNS. Proficient in containerisation and infrastructure as code … with testing tools such as Selenium and JMeter. Ability to establish and refine test strategies: unit, acceptance, regression, security, and performance testing. Experience with AI tools and platforms, specifically Azure OpenAI and Gemini. Skilled in stakeholder management, vendor collaboration, and executive communication. What we do Kaplan Professional is a leading provider of apprenticeships, accountancy/tax/finance & banking 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 ❯

non-technical business stakeholders and related parties Desirable Skills Working knowledge of C#/.NET software development, including ASP.NET and related tooling and technologies Cloud-based infrastructure such as Azure or AWS Working experience of agile methodologies and related development processes and tooling i.e. Jira, Trello, Confluence Microservice architecture and related tooling and technologies Working experience of Linux/ More ❯

Strong experience in C#, .NET Framework, .NET Core/6/7, ASP.NET Experience with AI/ML frameworks such as: ML.NET TensorFlow/PyTorch (for integration with .NET) Azure Cognitive Services/OpenAI/AI APIs Knowledge of RESTful APIs , microservices, and cloud platforms (Azure, AWS, or GCP) Familiarity with SQL and NoSQL databases Understanding of data More ❯

Strong experience in C#, .NET Framework, .NET Core/6/7, ASP.NET Experience with AI/ML frameworks such as: ML.NET TensorFlow/PyTorch (for integration with .NET) Azure Cognitive Services/OpenAI/AI APIs Knowledge of RESTful APIs , microservices, and cloud platforms (Azure, AWS, or GCP) Familiarity with SQL and NoSQL databases Understanding of data More ❯

Strong experience in C#, .NET Framework, .NET Core/6/7, ASP.NET Experience with AI/ML frameworks such as: ML.NET TensorFlow/PyTorch (for integration with .NET) Azure Cognitive Services/OpenAI/AI APIs Knowledge of RESTful APIs , microservices, and cloud platforms (Azure, AWS, or GCP) Familiarity with SQL and NoSQL databases Understanding of data More ❯

Strong experience in C#, .NET Framework, .NET Core/6/7, ASP.NET Experience with AI/ML frameworks such as: ML.NET TensorFlow/PyTorch (for integration with .NET) Azure Cognitive Services/OpenAI/AI APIs Knowledge of RESTful APIs , microservices, and cloud platforms (Azure, AWS, or GCP) Familiarity with SQL and NoSQL databases Understanding of data More ❯

Strong experience in C#, .NET Framework, .NET Core/6/7, ASP.NET Experience with AI/ML frameworks such as: ML.NET TensorFlow/PyTorch (for integration with .NET) Azure Cognitive Services/OpenAI/AI APIs Knowledge of RESTful APIs , microservices, and cloud platforms (Azure, AWS, or GCP) Familiarity with SQL and NoSQL databases Understanding of data 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 ❯

or C#. Systems & Tools: Familiarity with Linux/Unix, version control systems (e.g., Git), and DevOps tools (e.g., Docker, Kubernetes). Cloud Technologies: Exposure to platforms such as AWS, Azure, or Google Cloud. Software Development Practices: Understanding of Agile and DevOps methodologies. Networking & Cybersecurity: Awareness of networking protocols, firewalls, VPNs, and cybersecurity principles (highly valuable for defence-related projects More ❯