1,026 to 1,050 of 1,413 Azure Jobs in the South West

This is a hands-on DataOps/Data Quality Engineer role with a strong focus on building data validation frameworks and automated testing for Azure-based data platforms. The role also includes DataOps responsibilities, ensuring reliable, observable, and well-governed pipeline operations across Fabric Data Factory, Azure Data … standards Defining and standardizing monitoring, logging, alerting, and KPIs/SLAs across data platform to enable consistent measurement of data reliability. Identify and create Azure Monitor alert rules and develop KQL queries to extract metrics and logs from Azure Monitor/Log Analytics for reliability tracking and alerting. ...

This is a hands-on DataOps/Data Quality Engineer role with a strong focus on building data validation frameworks and automated testing for Azure-based data platforms. The role also includes DataOps responsibilities, ensuring reliable, observable, and well-governed pipeline operations across Fabric Data Factory, Azure Data … standards Defining and standardizing monitoring, logging, alerting, and KPIs/SLAs across data platform to enable consistent measurement of data reliability. Identify and create Azure Monitor alert rules and develop KQL queries to extract metrics and logs from Azure Monitor/Log Analytics for reliability tracking and alerting. ...

This is a hands-on DataOps/Data Quality Engineer role with a strong focus on building data validation frameworks and automated testing for Azure-based data platforms. The role also includes DataOps responsibilities, ensuring reliable, observable, and well-governed pipeline operations across Fabric Data Factory, Azure Data … standards Defining and standardizing monitoring, logging, alerting, and KPIs/SLAs across data platform to enable consistent measurement of data reliability. Identify and create Azure Monitor alert rules and develop KQL queries to extract metrics and logs from Azure Monitor/Log Analytics for reliability tracking and alerting. ...

This is a hands-on DataOps/Data Quality Engineer role with a strong focus on building data validation frameworks and automated testing for Azure-based data platforms. The role also includes DataOps responsibilities, ensuring reliable, observable, and well-governed pipeline operations across Fabric Data Factory, Azure Data … standards Defining and standardizing monitoring, logging, alerting, and KPIs/SLAs across data platform to enable consistent measurement of data reliability. Identify and create Azure Monitor alert rules and develop KQL queries to extract metrics and logs from Azure Monitor/Log Analytics for reliability tracking and alerting. ...

This is a hands-on DataOps/Data Quality Engineer role with a strong focus on building data validation frameworks and automated testing for Azure-based data platforms. The role also includes DataOps responsibilities, ensuring reliable, observable, and well-governed pipeline operations across Fabric Data Factory, Azure Data … standards Defining and standardizing monitoring, logging, alerting, and KPIs/SLAs across data platform to enable consistent measurement of data reliability. Identify and create Azure Monitor alert rules and develop KQL queries to extract metrics and logs from Azure Monitor/Log Analytics for reliability tracking and alerting. ...

This is a hands-on DataOps/Data Quality Engineer role with a strong focus on building data validation frameworks and automated testing for Azure-based data platforms. The role also includes DataOps responsibilities, ensuring reliable, observable, and well-governed pipeline operations across Fabric Data Factory, Azure Data … standards Defining and standardizing monitoring, logging, alerting, and KPIs/SLAs across data platform to enable consistent measurement of data reliability. Identify and create Azure Monitor alert rules and develop KQL queries to extract metrics and logs from Azure Monitor/Log Analytics for reliability tracking and alerting. ...

policy outcomes while managing high-performing DevOps and engineering teams. Key Responsibilities Programme Leadership: Drive the strategy and roadmap for cloud-native DevOps programmes (Azure, AWS, GCP). Operational Governance: Oversee sprint planning and backlog prioritization using Jira/Azure DevOps, monitoring key metrics like deployment frequency ...

policy outcomes while managing high-performing DevOps and engineering teams. Key Responsibilities Programme Leadership: Drive the strategy and roadmap for cloud-native DevOps programmes (Azure, AWS, GCP). Operational Governance: Oversee sprint planning and backlog prioritization using Jira/Azure DevOps, monitoring key metrics like deployment frequency ...

policy outcomes while managing high-performing DevOps and engineering teams. Key Responsibilities Programme Leadership: Drive the strategy and roadmap for cloud-native DevOps programmes (Azure, AWS, GCP). Operational Governance: Oversee sprint planning and backlog prioritization using Jira/Azure DevOps, monitoring key metrics like deployment frequency ...

policy outcomes while managing high-performing DevOps and engineering teams. Key Responsibilities Programme Leadership: Drive the strategy and roadmap for cloud-native DevOps programmes (Azure, AWS, GCP). Operational Governance: Oversee sprint planning and backlog prioritization using Jira/Azure DevOps, monitoring key metrics like deployment frequency ...

policy outcomes while managing high-performing DevOps and engineering teams. Key Responsibilities Programme Leadership: Drive the strategy and roadmap for cloud-native DevOps programmes (Azure, AWS, GCP). Operational Governance: Oversee sprint planning and backlog prioritization using Jira/Azure DevOps, monitoring key metrics like deployment frequency ...

policy outcomes while managing high-performing DevOps and engineering teams. Key Responsibilities Programme Leadership: Drive the strategy and roadmap for cloud-native DevOps programmes (Azure, AWS, GCP). Operational Governance: Oversee sprint planning and backlog prioritization using Jira/Azure DevOps, monitoring key metrics like deployment frequency ...

client sites Monitor alerts, patching, and proactively prevent service disruptions Troubleshoot across Microsoft 365, Windows Server, Active Directory, networking, and virtualisation Work with Azure, AWS, or Google Cloud environments Liaise with third-party suppliers and support project deployments Maintain accurate documentation and contribute to the Knowledge Base Mentor … Line or Field Engineer role (MSP experience ideal) Strong knowledge of Microsoft 365 (MFA, SSO, SharePoint, Teams, Intune, Entra) Experience with Azure/AWS/Google Cloud and virtualisation platforms (Hyper-V/VMware) Solid networking skills (TCP/IP, VLANs, DHCP, DNS, LAN/WAN/WLAN) Confident ...

responsible for: Designing and delivering end‐to‐end data solutions Building and maintaining scalable ETL pipelines and cloud‐based data platforms using Microsoft Azure technologies. Leading workshops, capturing requirements and communicating confidently with both technical and non‐technical stakeholders. Creating dashboards and analytical outputs using Power BI to enable … planning and mentoring junior team members. To be successful in this role, you will have: Solid proficiency in SQL and Python Working knowledge of Azure Synapse, Data Factory, Databricks or Fabric. Understanding of data lake and medallions architectures Experience with Power BI and a strong understanding of data modelling ...

responsible for: Designing and delivering end‐to‐end data solutions Building and maintaining scalable ETL pipelines and cloud‐based data platforms using Microsoft Azure technologies. Leading workshops, capturing requirements and communicating confidently with both technical and non‐technical stakeholders. Creating dashboards and analytical outputs using Power BI to enable … planning and mentoring junior team members. To be successful in this role, you will have: Solid proficiency in SQL and Python Working knowledge of Azure Synapse, Data Factory, Databricks or Fabric. Understanding of data lake and medallions architectures Experience with Power BI and a strong understanding of data modelling ...

responsible for: Designing and delivering end‐to‐end data solutions Building and maintaining scalable ETL pipelines and cloud‐based data platforms using Microsoft Azure technologies. Leading workshops, capturing requirements and communicating confidently with both technical and non‐technical stakeholders. Creating dashboards and analytical outputs using Power BI to enable … planning and mentoring junior team members. To be successful in this role, you will have: Solid proficiency in SQL and Python Working knowledge of Azure Synapse, Data Factory, Databricks or Fabric. Understanding of data lake and medallions architectures Experience with Power BI and a strong understanding of data modelling ...

responsible for: Designing and delivering end‐to‐end data solutions Building and maintaining scalable ETL pipelines and cloud‐based data platforms using Microsoft Azure technologies. Leading workshops, capturing requirements and communicating confidently with both technical and non‐technical stakeholders. Creating dashboards and analytical outputs using Power BI to enable … planning and mentoring junior team members. To be successful in this role, you will have: Solid proficiency in SQL and Python Working knowledge of Azure Synapse, Data Factory, Databricks or Fabric. Understanding of data lake and medallions architectures Experience with Power BI and a strong understanding of data modelling ...

redaction and content filtering Exposure to agentic frameworks Cloud and infrastructure Comfortable working in at least one major cloud provider. AWS, GCP or Azure Familiar with Docker and CI/CD pipelines Experience with managed ML platforms such as SageMaker, Vertex AI or Azure ML Data engineering ...

redaction and content filtering Exposure to agentic frameworks Cloud and infrastructure Comfortable working in at least one major cloud provider. AWS, GCP or Azure Familiar with Docker and CI/CD pipelines Experience with managed ML platforms such as SageMaker, Vertex AI or Azure ML Data engineering ...

redaction and content filtering Exposure to agentic frameworks Cloud and infrastructure Comfortable working in at least one major cloud provider. AWS, GCP or Azure Familiar with Docker and CI/CD pipelines Experience with managed ML platforms such as SageMaker, Vertex AI or Azure ML Data engineering ...

redaction and content filtering Exposure to agentic frameworks Cloud and infrastructure Comfortable working in at least one major cloud provider. AWS, GCP or Azure Familiar with Docker and CI/CD pipelines Experience with managed ML platforms such as SageMaker, Vertex AI or Azure ML Data engineering ...

redaction and content filtering Exposure to agentic frameworks Cloud and infrastructure Comfortable working in at least one major cloud provider. AWS, GCP or Azure Familiar with Docker and CI/CD pipelines Experience with managed ML platforms such as SageMaker, Vertex AI or Azure ML Data engineering ...

Implement MLOps practices including CI/CD for ML, model versioning, and experiment tracking. Use tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML. Automate model training, testing, deployment, and monitoring workflows. 5. Cloud & Infrastructure Build ML solutions on cloud platforms such as AWS, Azure ...

Implement MLOps practices including CI/CD for ML, model versioning, and experiment tracking. Use tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML. Automate model training, testing, deployment, and monitoring workflows. 5. Cloud & Infrastructure Build ML solutions on cloud platforms such as AWS, Azure ...

Implement MLOps practices including CI/CD for ML, model versioning, and experiment tracking. Use tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML. Automate model training, testing, deployment, and monitoring workflows. 5. Cloud & Infrastructure Build ML solutions on cloud platforms such as AWS, Azure ...