1 to 25 of 188 Azure Jobs in Stevenage

and offer a wide range of benefits to support staff wellbeing. Your Future Starts Here PURPOSE OF JOB: We’re looking for an experienced Azure Data & AI Engineer with a strong focus on advanced analytics, machine learning, and applied AI - particularly Generative AI. This role will suit a technically … capable professional who combines real-world AI/ML solution delivery experience with a solid understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven solutions using Azure-native tools and frameworks such as Azure OpenAI, Prompt Flow … Semantic Kernel, Azure AI SDKs (including azure-ai-projects, azure-ai-inference), and open-source frameworks like LangChain. Familiarity with traditional Azure AI services (e.g. Document Intelligence, Vision, Language, and Speech) is expected, alongside a developer-oriented mindset (code-first) and experience with integrating AI workloads More ❯

package and flexible working. The ideal Data Engineering Manager will come from a data engineering background and have strong knowledge in SQL, Snowflake, Microsoft Azure, Azure Data Factory and Azure DevOps. The Engineering Manager will design, improve and maintain robust data pipelines within data architecture. To be … Snowflake - beneficial Experience managing small teams of Data Engineers Strong experience working in a cloud environment and knowledge in the following very beneficial: Microsoft Azure, Azure Data Factory and Azure DevOps Experience working in fast-paced Agile environments Creativity and curiosity for solving complex problems. If you More ❯

Strong grounding in ML approaches, techniques and frameworks Python, Pandas, Tensor Flow, Scikit-learn, Numpy, SciPy Experience deploying to the cloud and working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF etc.) Able to work with databases like SQL Server, NoSQL, etc Experience with ETL More ❯

to support staff wellbeing. Your Future Starts Here PURPOSE OF JOB: The Data & AI Solutions Deployment Architect will be instrumental in architecting and deploying Azure Data & AI Solutions. A solid, technical, ‘hands-on’ (not just the theory) grasp of Azure Fabric is essential as we navigate clients through … KEY RESPONSIBILITIES: Have 5+ years of technical consulting or a similar chronology of demonstrable success in coding and deploying Data and AI models onto Azure environments. At least one year using Azure Fabric Create scalable and reliable data pipelines for data processing, transformation, and storage. Establish and enforce … to identify and measure quality gaps that are a block to Data and Ai implementation. Implement robust security measures to protect sensitive data within Azure environments. Integrate AI and machine learning models into data pipelines and applications. Develop and deploy AI solutions using Azure Machine Learning services. Have More ❯

Azure Data Engineer | Microsoft Solutions Partner | UK-wide (Remote) Up to £75,000 + 15 Bonus Ready to level up your career as an Azure Data Engineer? Good, because this opportunity is serious about data and needs someone equally committed. This ambitious Microsoft Solutions Partner specialises in Azure … and advanced cloud solutions, and they're looking for someone sharp, capable, and passionate about data to help drive their growth. The Essentials: Role: Azure Data Engineer Location: UK-wide remote, with VERY occasional travel to offices and client sites Employment: Permanent, Full-time What You'll Actually Be … Doing: Designing, developing, and deploying robust Azure data solutions including ETL pipelines, data warehouses, and real-time analytics. No fluff, just solid engineering. Turning complex client requirements into clear, scalable Azure solutions alongside experienced Architects and Data & AI Practice Leads. Building strong relationships with clients—clear communication and More ❯

Functions, Redshift, DynamoDB, Athena, Lambda, RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data engineering tools, including ADF (Azure Data Factory), Azure DB, Azure Synapse, Azure Data lake and Azure Monitor providing … during migration processes. Effective communication skills to convey technical concepts and updates to diverse audiences, including non-technical stakeholders. Cloud certifications like AWS and Azure are preferred. Required Experience: Proven experience in data migration, data management, or ETL development. Experience working with ETL tools and database management systems. Familiarity More ❯

Functions, Redshift, DynamoDB, Athena, Lambda, RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data engineering tools, including ADF (Azure Data Factory), Azure DB, Azure Synapse, Azure Data lake and Azure Monitor providing … during migration processes. Effective communication skills to convey technical concepts and updates to diverse audiences, including non-technical stakeholders. Cloud certifications like AWS and Azure are preferred. Required Experience: Proven experience in data migration, data management, or ETL development. Experience working with ETL tools and database management systems. Familiarity More ❯

Functions, Redshift, DynamoDB, Athena, Lambda, RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data engineering tools, including ADF (Azure Data Factory), Azure DB, Azure Synapse, Azure Data lake and Azure Monitor providing … during migration processes. Effective communication skills to convey technical concepts and updates to diverse audiences, including non-technical stakeholders. Cloud certifications like AWS and Azure are preferred. Required Experience: Proven experience in data migration, data management, or ETL development. Experience working with ETL tools and database management systems. Familiarity More ❯

comfortable working in a dynamic environment. You should have a foundation in Python, data handling, and cloud concepts, and an interest in the Microsoft Azure ecosystem. Over time, you’ll also gain exposure to customer-facing activities such as workshops, demos, and project delivery sessions. Key areas you’ll … enterprise-ready cloud environments Consulting fundamentals and effective customer communication KEY RESPONSIBILITIES: Support the design, development, and deployment of Data & AI solutions using Microsoft Azure technologies Assist in delivering client-facing engagements, including workshops, solution demos, and project implementation Collaborate with senior engineers and consultants to contribute to proofs … DESIRABLE Other Requirements Strong foundational knowledge of Python, data structures, and basic ML/AI concepts - ESSENTIAL Awareness of cloud computing fundamentals, preferably Microsoft Azure - ESSENTIAL Strong problem-solving skills and eagerness to learn new technologies - ESSENTIAL Clear written and verbal communication skills - ESSENTIAL Exposure to Azure services More ❯

Databricks Lakehouse architecture and principles Having 2+ years of designing data models, building ETL pipelines, and wrangling data to solve business problems Experienced with Azure cloud technologies Modern Data Estate such as Azure Data Factory, Azure DevOps, Azure Synapse, Azure Data Lake Services Skilled with More ❯

Job Title: Azure DevOps Engineer (Remote) Salary: £44,000-£50,000 Location: Fully Remote (UK-based) Key Skill: Azure Terraform Azure DevOps PowerShell or Python Role Overview: As a DevOps Engineer, you will play a crucial role in building and maintaining deployment pipelines, ensuring the systems are … a background in software engineering and a keen interest in transitioning to DevOps. Key Responsibilities: Design, implement, and manage CI/CD pipelines using Azure DevOps. Develop and maintain infrastructure as code using Terraform and Pulumi. Write and maintain scripts in Python and PowerShell to automate tasks. Configure and … and manage configuration files using YAML. Monitor system performance, troubleshoot issues, and optimise system reliability and performance. Key Skills and Qualifications: Experience with Microsoft Azure and Azure DevOps. Proficiency in infrastructure as code tools such as Pulumi and Terraform. Strong scripting skills in Python and PowerShell. Experience with More ❯

align infrastructure strategy with software delivery needs. Cloud-Native Engineering (Azure) Lead the development of scalable cloud-native applications and services using Microsoft Azure , including Azure Functions, LogicApps, and container-based services. Drive cost-effective use of cloud services and performance optimization across environments. Ensure cloud architectures … modern CI/CD pipelines, test automation, and infrastructure-as-code. Experience managing and integrating with third-party systems and platforms such as Salesforce , Azure , SharePoint , and Power Platform . Experience working with secure, data-driven applications and distributed systems. Technical Skills Frontend : HTML, CSS, JavaScript (Node.js, browser frameworks … Backend : PHP (Symfony, Smarty), C# (.NET Core), Azure Functions (Node.js/PowerShell), PowerShell Database : MSSQL, PostgreSQL (including JSON), MySQL/MariaDB Integration : REST APIs, ETL, Azure Data Factory DevOps/Infra : CI/CD pipelines (e.g., GitHub Actions, Azure DevOps), containerization, Azure PaaS Security : Secure development More ❯

Desirable Proficiency in deploying, managing and scaling applications in a cloud environment. With knowledge of at least one cloud platform (e.g. AWC, Google Cloud, Azure). Experience setting up and maintaining CI/CD pipelines through GitHub Actions or other similar tools. Experience in building out automated testing suites More ❯

e.g. Prometheus, Grafana ). Strong understanding of modern DevOps practice, including DevOps stacks (e.g. Jenkins, GitLab, CircleCI ). Cloud experience (e.g. AWS, Google Cloud, Azure, Kubernetes). Familiar with software engineering ways of working and engagement model. Strong proficiency in utilizing various product management tools, including Jira and Confluence. More ❯

Flask, FastAPI, Pandas and NumPy. Strong knowledge of relational and non-relational databases (e.g., PostgreSQL, MongoDB, Redis). Proficiency with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Solid experience with Git and Git-based workflows. Experience with automated testing frameworks and libraries (e.g., Pytest More ❯

Node.js Experience in developing and maintaining systems on either SQL Server, MySQL or PostgreSQL Experience in developing and maintaining systems hosted in either Microsoft Azure, Amazon AWS or Google Cloud Platform The following skills will be highly regarded Python development Mobile development experience Adobe Creative Cloud experience especially Xd More ❯

developing reliable and scalable systems with an object-oriented programming language. Cloud-native technologies: Experience in deploying to cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Curiosity : A hunger to More ❯

software quality through automated testing and CI/CD best practices Tech Stack: C# .NET Core JavaScript, React, HTML, CSS Typescript Cloud experience with Azure or AWS SQL Server, CosmosDB, Redis CI/CD, TDD, Docker, Kubernetes We are looking for passionate Senior Software Engineers who are keen to More ❯

Proficiency in scripting languages (e.g., PowerShell, Python) for automation and customization. Excellent problem-solving and troubleshooting skills. Preferred: Experience with cloud platforms (e.g., AWS, Azure, GCP) and their integration with CyberArk. Knowledge of DevOps and CI/CD pipelines for secrets management. Familiarity with other PAM tools (e.g., BeyondTrust More ❯

Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like More ❯

Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like More ❯

communication skills Security certifications such as CompTIA Security+, SSCP, CEH, GSEC, or CISSP (or actively working toward one) Experience with cloud security in AWS, Azure, or GCP environments Knowledge of scripting or automation (e.g., Python, PowerShell) for security tasks Understanding of DevSecOps practices and secure SDLC Package More ❯

Consultant – Dynamics 365 F&O, Dynamics AX developer, AX developer, Power Platform, AX2012, D365, LCS, Life Cycle Services, TFS, Git, CDS, common data model, azure, azure devops, data lake, synapse, agile, ssis, D365 Developer, D365 Technical Consultant, AX Technical Consultant, Developer, X++, MorphX, C#, SSRS, PowerBI, XML, CSV … an agile development environment using DevOps and TFVC desirable Experience working with Power Platform Clear and effective communications Experience with Life Cycle Services (LCS) , Azure DevOps, TFS/Git, D365 Common Data model would be highly beneficial Main Responsibilities: Develop, implement and support new solutions within D365FO Creating technical More ❯

services, and system integrations. Familiarity with extensions model (v2) and app source publishing (optional). Knowledge of SQL Server and database management. Experience with Azure DevOps, CI/CD pipelines, and Git is a plus. Excellent communication and problem-solving skills. Ability to work independently and as part of More ❯

Spring/Spring Boot, REST APIs, and microservices architecture Solid knowledge of relational databases (e.g., PostgreSQL, MySQL) Familiarity with cloud platforms (AWS, GCP, or Azure) Experience with CI/CD, Docker, and Kubernetes is a plus Excellent problem-solving skills and a team-first mindset 💡 Bonus Points For: Experience More ❯