26 to 50 of 444 Microsoft-Azure Jobs in Yorkshire

methodologies. Experience with data governance or data quality management practices. Experience preparing data for LLM or AI/agent use cases. Experience with Azure or Microsoft Fabric data architecture. ...

methodologies. Experience with data governance or data quality management practices. Experience preparing data for LLM or AI/agent use cases. Experience with Azure or Microsoft Fabric data architecture. ...

multiple programming languages such as Python, JavaScript, or similar. Extensive experience writing well-tested code. Good knowledge of cloud platforms (e.g., AWS, Azure, GCP) and infrastructure as code Experience with CI/CD pipelines and automated testing frameworks. Experience with various architecture patterns eg microservices and event-driven. ...

quality data platforms that support critical, real-world decision-making. As a Senior Data Engineer, youll design and deliver robust data pipelines using Azure, Databricks, Python, SQL, and Spark, working closely with data scientists, analysts, and stakeholders in an agile environment. Youll also play a key role … mentoring others, shaping best practice, and contributing to the evolution of modern data architecture. Key Experience Extensive experience with Azure services including Azure Databricks, Azure Data Lake Storage, and Azure Data Factory. Advanced proficiency in SQL, Python, and Spark (PySpark), with ...

Windows 11 and previous support experience Strong troubleshooting skills in Microsoft Office 365/Office 2016 (Outlook, Word, Excel, PowerPoint) Experience with Azure Active Directory and Microsoft Endpoint Manager (MEM/Intune) Experience supporting Microsoft Managed Device (MMD) environments Experience supporting MacBooks/MacOS Experience ...

documentation skills. Understanding of SLAs, OLAs and KPIs. Ability to train, mentor and share knowledge effectively. Desirable Certifications in Microsoft OS, Linux, Azure, AWS, VMware or M365. Experience with Extreme switches and networking. Experience with HP systems, SAN storage or firewall administration. Personal Qualities A positive, confident ...

stack Strong experience with cloud-based mail archiving (e.g. Mimecast) In-depth knowledge of Hybrid Backup and Recovery solutions Strong experience with Azure Cloud Infrastructure Proficient in Exchange, SQL Server, SharePoint Excellent communication skills with the ability to explain complex technical topics clearly Strong analytical and problem-solving ...

stack Strong experience with cloud-based mail archiving (e.g. Mimecast) In-depth knowledge of Hybrid Backup and Recovery solutions Strong experience with Azure Cloud Infrastructure Proficient in Exchange, SQL Server, SharePoint Excellent communication skills with the ability to explain complex technical topics clearly Strong analytical and problem-solving ...

Backend Development: 5–15 years of experience with Java, Spring Boot, and microservices architecture. DevOps & Cloud: Hands-on experience with GCP, AWS, or Azure; familiarity with CI/CD pipelines. API Development: Proven expertise in building and maintaining RESTful APIs. Frontend Knowledge: Working knowledge of React or Angular ...

functional teams to deliver solutions that solve genuine business challenges Tech Stack: Core: C#, .NET Core Architecture: Event-driven, microservices-oriented design Cloud: Azure (AWS experience valued), Infrastructure-as-Code Data: SQL, caching strategies, message brokers (RabbitMQ, etc.) Frontend: HTML, CSS, JavaScript DevOps: CI/CD pipelines, Behaviour ...

functional teams to deliver solutions that solve genuine business challenges Tech Stack: Core: C#, .NET Core Architecture: Event-driven, microservices-oriented design Cloud: Azure (AWS experience valued), Infrastructure-as-Code Data: SQL, caching strategies, message brokers (RabbitMQ, etc.) Frontend: HTML, CSS, JavaScript DevOps: CI/CD pipelines, Behaviour ...

functional teams to deliver solutions that solve genuine business challenges Tech Stack: Core: C#, .NET Core Architecture: Event-driven, microservices-oriented design Cloud: Azure (AWS experience valued), Infrastructure-as-Code Data: SQL, caching strategies, message brokers (RabbitMQ, etc.) Frontend: HTML, CSS, JavaScript DevOps: CI/CD pipelines, Behaviour ...

functional teams to deliver solutions that solve genuine business challenges Tech Stack: Core: C#, .NET Core Architecture: Event-driven, microservices-oriented design Cloud: Azure (AWS experience valued), Infrastructure-as-Code Data: SQL, caching strategies, message brokers (RabbitMQ, etc.) Frontend: HTML, CSS, JavaScript DevOps: CI/CD pipelines, Behaviour ...

Customer facing experience with strong listening and business relationship skills. System integration and automation experience with an emphasis on CI/CD (AWS, Azure DevOps, GitHub, Jenkins, etc.) Experience writing scripts with Python, Postman, etc. to automate tasks via security tool APIs (REST & GraphQL) Familiarity with how .NET ...

Customer facing experience with strong listening and business relationship skills. System integration and automation experience with an emphasis on CI/CD (AWS, Azure DevOps, GitHub, Jenkins, etc.) Experience writing scripts with Python, Postman, etc. to automate tasks via security tool APIs (REST & GraphQL) Familiarity with how .NET ...

Customer facing experience with strong listening and business relationship skills. System integration and automation experience with an emphasis on CI/CD (AWS, Azure DevOps, GitHub, Jenkins, etc.) Experience writing scripts with Python, Postman, etc. to automate tasks via security tool APIs (REST & GraphQL) Familiarity with how .NET ...

data workflows and automation Advanced SQL (optimisation, analytical functions, modelling) ETL/ELT pipeline design, build, and orchestration Docker and containerisation Cloud environments (Azure, AWS, or GCP) Version control (Git) Bonus points for: Airflow, Prefect, dbt, or cloud-native orchestration CI/CD and deployment automation Data warehousing ...

data workflows and automation Advanced SQL (optimisation, analytical functions, modelling) ETL/ELT pipeline design, build, and orchestration Docker and containerisation Cloud environments (Azure, AWS, or GCP) Version control (Git) Bonus points for: Airflow, Prefect, dbt, or cloud-native orchestration CI/CD and deployment automation Data warehousing ...

data workflows and automation Advanced SQL (optimisation, analytical functions, modelling) ETL/ELT pipeline design, build, and orchestration Docker and containerisation Cloud environments (Azure, AWS, or GCP) Version control (Git) Bonus points for: Airflow, Prefect, dbt, or cloud-native orchestration CI/CD and deployment automation Data warehousing ...

Build and maintain robust APIs and web applications using .NET and React Collaborate with cross-functional teams to deliver modern, Azure-hosted solutions Develop clean, testable, and maintainable code across the full stack Integrate with complex healthcare data systems and APIs Support continuous improvement across architecture, tooling … team What You'll Bring Solid C#/.NET Core experience in production systems Proficiency with React and TypeScript Strong experience with Microsoft Azure (App Services, Azure Functions, Azure DevOps, etc.) Exposure to healthcare, NHS, or data integration environments Understanding of RESTful APIs ...

training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands-on development, fine-tuning, and deployment of production-grade models … expertise in deploying and managing data/ML workloads across at least two of the three major cloud platforms: AWS (Sagemaker, EMR, S3), Azure (Azure ML, Synapse Analytics), and GCP (Vertex AI, BigQuery). Data Architecture: Expert knowledge of distributed systems, data partitioning, optimization techniques ...

training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands-on development, fine-tuning, and deployment of production-grade models … expertise in deploying and managing data/ML workloads across at least two of the three major cloud platforms: AWS (Sagemaker, EMR, S3), Azure (Azure ML, Synapse Analytics), and GCP (Vertex AI, BigQuery). Data Architecture: Expert knowledge of distributed systems, data partitioning, optimization techniques ...

training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands-on development, fine-tuning, and deployment of production-grade models … expertise in deploying and managing data/ML workloads across at least two of the three major cloud platforms: AWS (Sagemaker, EMR, S3), Azure (Azure ML, Synapse Analytics), and GCP (Vertex AI, BigQuery). Data Architecture: Expert knowledge of distributed systems, data partitioning, optimization techniques ...

training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands-on development, fine-tuning, and deployment of production-grade models … expertise in deploying and managing data/ML workloads across at least two of the three major cloud platforms: AWS (Sagemaker, EMR, S3), Azure (Azure ML, Synapse Analytics), and GCP (Vertex AI, BigQuery). Data Architecture: Expert knowledge of distributed systems, data partitioning, optimization techniques ...

training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands-on development, fine-tuning, and deployment of production-grade models … expertise in deploying and managing data/ML workloads across at least two of the three major cloud platforms: AWS (Sagemaker, EMR, S3), Azure (Azure ML, Synapse Analytics), and GCP (Vertex AI, BigQuery). Data Architecture: Expert knowledge of distributed systems, data partitioning, optimization techniques ...