176 to 200 of 268 Azure Synapse Analytics Jobs in the Midlands

growing data team. You will be responsible for developing, maintaining, and optimising data pipelines and solutions that leverage the capabilities of Microsoft Fabric, supporting analytics, reporting, and data science initiatives. This role is aligned with SFIA Level 3 (Apply), requiring the application of knowledge to a range of activities … own workload within clearly defined responsibilities. Responsibilities Design, develop and maintain scalable and secure data pipelines using Microsoft Fabric technologies (e.g., Data Factory, OneLake, Synapse, Power BI). Collaborate with stakeholders to gather requirements and translate business needs into technical data solutions. Build and manage data models and lakehouses … performance and reliability. Implement best practices for data engineering including CI/CD, testing, and documentation. Work with cross-functional teams to support data analytics and reporting efforts. Stay current with emerging features and best practices in Microsoft Fabric and the broader Azure ecosystem. Requirements Proven experience as More ❯

growing data team. You will be responsible for developing, maintaining, and optimising data pipelines and solutions that leverage the capabilities of Microsoft Fabric, supporting analytics, reporting, and data science initiatives. This role is aligned with SFIA Level 3 (Apply), requiring the application of knowledge to a range of activities … own workload within clearly defined responsibilities. Responsibilities Design, develop and maintain scalable and secure data pipelines using Microsoft Fabric technologies (e.g., Data Factory, OneLake, Synapse, Power BI). Collaborate with stakeholders to gather requirements and translate business needs into technical data solutions. Build and manage data models and lakehouses … performance and reliability. Implement best practices for data engineering including CI/CD, testing, and documentation. Work with cross-functional teams to support data analytics and reporting efforts. Stay current with emerging features and best practices in Microsoft Fabric and the broader Azure ecosystem. Requirements Proven experience as More ❯

growing data team. You will be responsible for developing, maintaining, and optimising data pipelines and solutions that leverage the capabilities of Microsoft Fabric, supporting analytics, reporting, and data science initiatives. This role is aligned with SFIA Level 3 (Apply), requiring the application of knowledge to a range of activities … own workload within clearly defined responsibilities. Responsibilities Design, develop and maintain scalable and secure data pipelines using Microsoft Fabric technologies (e.g., Data Factory, OneLake, Synapse, Power BI). Collaborate with stakeholders to gather requirements and translate business needs into technical data solutions. Build and manage data models and lakehouses … performance and reliability. Implement best practices for data engineering including CI/CD, testing, and documentation. Work with cross-functional teams to support data analytics and reporting efforts. Stay current with emerging features and best practices in Microsoft Fabric and the broader Azure ecosystem. Requirements Proven experience as More ❯

growing data team. You will be responsible for developing, maintaining, and optimising data pipelines and solutions that leverage the capabilities of Microsoft Fabric, supporting analytics, reporting, and data science initiatives. This role is aligned with SFIA Level 3 (Apply), requiring the application of knowledge to a range of activities … own workload within clearly defined responsibilities. Responsibilities Design, develop and maintain scalable and secure data pipelines using Microsoft Fabric technologies (e.g., Data Factory, OneLake, Synapse, Power BI). Collaborate with stakeholders to gather requirements and translate business needs into technical data solutions. Build and manage data models and lakehouses … performance and reliability. Implement best practices for data engineering including CI/CD, testing, and documentation. Work with cross-functional teams to support data analytics and reporting efforts. Stay current with emerging features and best practices in Microsoft Fabric and the broader Azure ecosystem. Requirements Proven experience as More ❯

growing data team. You will be responsible for developing, maintaining, and optimising data pipelines and solutions that leverage the capabilities of Microsoft Fabric, supporting analytics, reporting, and data science initiatives. This role is aligned with SFIA Level 3 (Apply), requiring the application of knowledge to a range of activities … own workload within clearly defined responsibilities. Responsibilities Design, develop and maintain scalable and secure data pipelines using Microsoft Fabric technologies (e.g., Data Factory, OneLake, Synapse, Power BI). Collaborate with stakeholders to gather requirements and translate business needs into technical data solutions. Build and manage data models and lakehouses … performance and reliability. Implement best practices for data engineering including CI/CD, testing, and documentation. Work with cross-functional teams to support data analytics and reporting efforts. Stay current with emerging features and best practices in Microsoft Fabric and the broader Azure ecosystem. Requirements Proven experience as More ❯

growing data team. You will be responsible for developing, maintaining, and optimising data pipelines and solutions that leverage the capabilities of Microsoft Fabric, supporting analytics, reporting, and data science initiatives. This role is aligned with SFIA Level 3 (Apply), requiring the application of knowledge to a range of activities … own workload within clearly defined responsibilities. Responsibilities Design, develop and maintain scalable and secure data pipelines using Microsoft Fabric technologies (e.g., Data Factory, OneLake, Synapse, Power BI). Collaborate with stakeholders to gather requirements and translate business needs into technical data solutions. Build and manage data models and lakehouses … performance and reliability. Implement best practices for data engineering including CI/CD, testing, and documentation. Work with cross-functional teams to support data analytics and reporting efforts. Stay current with emerging features and best practices in Microsoft Fabric and the broader Azure ecosystem. Requirements Proven experience as More ❯

growing data team. You will be responsible for developing, maintaining, and optimising data pipelines and solutions that leverage the capabilities of Microsoft Fabric, supporting analytics, reporting, and data science initiatives. This role is aligned with SFIA Level 3 (Apply), requiring the application of knowledge to a range of activities … own workload within clearly defined responsibilities. Responsibilities Design, develop and maintain scalable and secure data pipelines using Microsoft Fabric technologies (e.g., Data Factory, OneLake, Synapse, Power BI). Collaborate with stakeholders to gather requirements and translate business needs into technical data solutions. Build and manage data models and lakehouses … performance and reliability. Implement best practices for data engineering including CI/CD, testing, and documentation. Work with cross-functional teams to support data analytics and reporting efforts. Stay current with emerging features and best practices in Microsoft Fabric and the broader Azure ecosystem. Requirements Proven experience as More ❯

attitude 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 frameworks. Practical experience applying DevOps principles to data engineering, including More ❯

attitude 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 frameworks. Practical experience applying DevOps principles to data engineering, including More ❯

attitude 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 frameworks. Practical experience applying DevOps principles to data engineering, including More ❯

attitude 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 frameworks. Practical experience applying DevOps principles to data engineering, including More ❯

attitude 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 frameworks. Practical experience applying DevOps principles to data engineering, including More ❯

attitude 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 frameworks. Practical experience applying DevOps principles to data engineering, including More ❯

attitude 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 frameworks. Practical experience applying DevOps principles to data engineering, including More ❯

attitude 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 frameworks. Practical experience applying DevOps principles to data engineering, including More ❯

attitude 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 frameworks. Practical experience applying DevOps principles to data engineering, including More ❯

attitude 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 frameworks. Practical experience applying DevOps principles to data engineering, including More ❯

attitude 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 frameworks. Practical experience applying DevOps principles to data engineering, including More ❯

attitude 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 frameworks. Practical experience applying DevOps principles to data engineering, including More ❯

permit required: Yes col-narrow-right Job Views: 8 Posted: 07.06.2025 Expiry Date: 22.07.2025 col-wide Job Description: We are seeking a highly experienced Azure Data & Infrastructure Architect to deliver a complex data platform transformation for a major public sector organisation. The role is working through a globally recognised … Tier One Consultancy and requires 2 days per week on sitein Coventry. Key Responsibilities: Design & implement secure, scalable cloud infrastructure on Azure Build data platforms using Databricks, Fabric, ADLS, Delta Lake, CosmosDB Architect solutions for real-time ingestion from sources like SCADA, SAP PM, Oracle Implement secure networking (VNETs … CI/CD pipelines Ensure compliance with GDPR, ISO 27001 Core Skills & Experience: 10+ years in cloud infrastructure and data architecture Deep expertise in Azure, Databricks, Synapse, Fabric Strong knowledge of networking, IAM, RBAC, Zero Trust Proficient in big data, ETL/ELT, and streaming tech (Kafka, Event More ❯

Social network you want to login/join with: A passionate Data Solutions Architect with expertise in Fabric/Azure and Lakehouse design will be a valuable addition to this growing team. You will play a key role in ensuring seamless data integration and applying your knowledge to support … successful Data Solutions Architect will have the following skills and experience: Experience of working with digital transformation programmes Cloud data solutions experience - Fabric or Azure Synapse Data mesh, BI, Datawarehousing, data platform knowledge Experience working in Agile THE BENEFITS: You will receive a salary, dependent on experience. Salary More ❯

technologies. As part of this role, you will be responsible for some of the following areas • Design and develop scalable data pipelines to support analytics and operational reporting. • Build and maintain ETL/ELT processes to ingest, transform, and store data from various sources. • Collaborate with clients including both … have • Solid experience designing and delivering data solutions focused on Databricks • Strong ETL experience with tools such as ADF or SSIS • Experience working with Azure technologies – Synapse, Fabric, Data Lake • Knowledge of data architecture principles and data modelling What is on offer? • Starting salary of up to More ❯

technologies. As part of this role, you will be responsible for some of the following areas • Design and develop scalable data pipelines to support analytics and operational reporting. • Build and maintain ETL/ELT processes to ingest, transform, and store data from various sources. • Collaborate with clients including both … have • Solid experience designing and delivering data solutions focused on Databricks • Strong ETL experience with tools such as ADF or SSIS • Experience working with Azure technologies – Synapse, Fabric, Data Lake • Knowledge of data architecture principles and data modelling What is on offer? • Starting salary of up to More ❯

technologies. As part of this role, you will be responsible for some of the following areas • Design and develop scalable data pipelines to support analytics and operational reporting. • Build and maintain ETL/ELT processes to ingest, transform, and store data from various sources. • Collaborate with clients including both … have • Solid experience designing and delivering data solutions focused on Databricks • Strong ETL experience with tools such as ADF or SSIS • Experience working with Azure technologies – Synapse, Fabric, Data Lake • Knowledge of data architecture principles and data modelling What is on offer? • Starting salary of up to More ❯

actively searching for senior and mid-level data engineers to join their in-demand data engineering function. If you are an expert with the Azure Data Stack and have consulting experience this will be a great opportunity for you. Salary and Benefits Salary of £50k - £75k (DOE) Discretionary bonus … required once per month) And many more! Role and Responsibilities Collaborate with a variety of clients to gather requirements and transform these into tailored Azure-focused solutions Expert knowledge and deployment of Azure Data Factory, Synapse, Data Lake Storage, Python You will navigate clients ERP environments (particularly … leading on these projects, mentoring and ensuring best practices What do I need to apply Expert use of Python Expert use of the full Azure Data Stack ERP exposure MS Fabric, Databricks, PySpark, Power BI are also desirable skills My client have limited interview slots and they are looking More ❯