176 to 200 of 325 Azure SQL Database Jobs in the UK excluding London

Azure DevOps Engineer x 2/3 - Remote - Up to £65k (REFBJ6) Up to £65k + Bonus + Benefits + Remote Working A growing organisation that builds and delivers market-leading applications in the healthcare space requires two Senior Azure DevOps Engineers to help … continue its adoption of Azure-native services and build a best-of-breed scalable SaaS platform for its solutions. Suitable candidates will have circa 5 years experience with Azure coupled with a deep understanding of Azure PaaS components including: Data Factory … Databricks Power BI Data Lakes Fabric Or: AKS (deployment + management) API Management Azure SQL and MI Functions Networking Data Factory Databricks Both roles will require an understanding of the following: Terraform HELM Personal Attributes: Able to work well as an individual and as More ❯

Team. This is an exciting opportunity to make your own within the Gregory Group. The position of Data Engineer involves: Creating and maintaining database schemas for use in our data warehouse, in-house applications and integrations. Creating and maintaining existing and new ETL processes using SQL Stored Procedures and Azure Data Factory. Contributing to the design, maintenance and development of a high quality, robust and performant centralised data source comprising data from multiple business systems, both cloud-based and on-premise – which supports business intelligence and analysis development. Managing, monitoring … and optimising both on-premises and Azure SQL servers including indexing, maintenance plans and query/performance optimisation. Automating data retention policies and other housekeeping activities to optimise performance and meet compliance requirements. Designing and delivering business intelligence and reporting solutions using both traditional More ❯

re not just building software; you're helping reshape how major businesses operate. Role Description: As a .NET developer, you will be supporting Azure Integration Service solutions within DigX's managed services portfolio. You'll design integration solutions, implement robust CI/CD pipelines, and work closely … with Architects to deliver optimal technical outcomes. Key Responsibilities: Develop and maintain scalable .NET integration solutions using C#, PowerShell, and Microsoft Azure Services Create API integrations, data pipelines, and message-based systems Design technical solutions leveraging Azure Integration Services (Functions, Logic Apps, Service Bus … Grid, API Management) Ensure solution quality, security, reliability, and performance standards Required Skills: 2+ years .NET development experience with strong C# expertise Advanced Azure services knowledge, including: Logic Apps Service Bus Event Grid API Management Practical experience with Azure SQL Databases More ❯

impactful features. Work across the full stack , from our React/TypeScript front-end to our Java-based search services. Leverage cloud technologies (Azure Data Factory, Batch Services, Azure SQL) to enhance platform capabilities. Contribute to DevOps practices , code reviews, and … search technologies . Expertise in Apache Lucene, Solr, Elasticsearch, or similar search technologies , or a keen willingness to learn. Hands-on experience with SQL and NoSQL databases (e.g., SQL Server, Postgres, MongoDB, CosmosDB). Experience working in Agile environments with modern DevOps and CI More ❯

will be developing new web apps and AI-based analysis tools. The solution will need to be built with a combination of Microsoft Azure SaaS services (Function Apps, Azure SQL, Storage Accounts, Azure OpenAI, AI Search) custom code … of best practices in user interface design, application architecture, performance, and security Professional coding experience in Python Professional experience developing solutions on Microsoft Azure which leverage a service-based architecture Professional experience of the software development lifecycle including design, build, testing and deployment Please apply now for More ❯

and a strong sense of ownership and accountability. Technologies, Methodologies and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL …/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality More ❯

and a strong sense of ownership and accountability. Technologies, Methodologies and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL …/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality More ❯

and a strong sense of ownership and accountability. Technologies, Methodologies and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL …/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality More ❯

and a strong sense of ownership and accountability. Technologies, Methodologies and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL …/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality More ❯

and a strong sense of ownership and accountability. Technologies, Methodologies and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL …/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality More ❯

and a strong sense of ownership and accountability. Technologies, Methodologies and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL …/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality More ❯

and a strong sense of ownership and accountability. Technologies, Methodologies and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL …/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality More ❯

and a strong sense of ownership and accountability. Technologies, Methodologies and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL …/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality More ❯

and a strong sense of ownership and accountability. Technologies, Methodologies and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL …/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality More ❯

and a strong sense of ownership and accountability. Technologies, Methodologies and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL …/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality More ❯

and a strong sense of ownership and accountability. Technologies, Methodologies and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL …/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality More ❯

and a strong sense of ownership and accountability. Technologies, Methodologies and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL …/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality More ❯

and a strong sense of ownership and accountability. Technologies, Methodologies and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL …/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality More ❯

and a strong sense of ownership and accountability. Technologies, Methodologies and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL …/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality More ❯

and a strong sense of ownership and accountability. Technologies, Methodologies and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL …/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality More ❯

and a strong sense of ownership and accountability. Technologies, Methodologies and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL …/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality More ❯

and a strong sense of ownership and accountability. Technologies, Methodologies and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL …/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality More ❯

and a strong sense of ownership and accountability. Technologies, Methodologies and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL …/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality More ❯

and a strong sense of ownership and accountability. Technologies, Methodologies and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL …/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality More ❯

and a strong sense of ownership and accountability. Technologies, Methodologies and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL …/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality More ❯