1 to 8 of 8 Permanent Azure Synapse Analytics Jobs in the Midlands with Remote Work Options

experience as a Data Architect, preferably within the context of SaaS solutions, with specific expertise in Microsoft technologies including Power Platform, Dataverse, Cosmos DB, Azure SQL, Azure Data Factory, Azure Fabric, Power BI, Data Lakes, and Synapse. 7+ years of experience working on solutions that collect, process … using Microsoft technology stack 4+ years of experience with implementation and support of Microsoft cloud-based services and products including (but not limited to): Azure Fabric Azure Data Factory Azure Data Lake Store Azure Data Lake Analytics Azure Storage Azure AI Search Azure Cosmos DB Azure SQL, Azure DW, Synapse and Azure Analytics Services Experience working with Agile development teams and an advocate of agile principles. Able to find a supportive balance that does not stifle team creativity. Proven ability to coach and mentor more junior team more »

cloud-based technologies to drive their data initiatives. You will play a critical role in guiding the team, developing curated business models, and utilizing Azure services to optimize our data infrastructure. Key Responsibilities Provide leadership, guidance, and support to team members, ensuring the successful execution of projects and tasks. … maintain curated business models to support accurate and insightful decision-making. Utilize SSRS, SSAS, and SSIS to design, develop, and implement robust reporting and analytics solutions. Conduct complex data analysis to identify trends, patterns, and insights that drive business improvement. Demonstrate expertise in Azure Synapse and Azure Data Factory/Lakes for data integration, orchestration, and management. Implement and optimize data pipelines for seamless and efficient data flow within the Azure ecosystem. Extract data from Dynamics to build and enhance curated business models in Synapse/PowerBI. Ensure data security, compliance, and best practices more »

are: Proficiency in SQL/KQL, including scripting and automation proficiency Experience in data management, with an understanding of data storage and extraction principles. Azure Data Factory (error handling, pipeline triggers), Azure Storage, Azure Synapse and Azure SQL Server. Previous experience in technical service operations more »

ensure accurate reporting, optimise data platform pipelines , develop, and scale data platforms with CI/CD and Terraform , data modelling , and working with the analytics team to build solutions . You will also be responsible for supporting implementation of security controls ensuring compliance with data protection, and GDPR . … and identify best use of existing data and how new data can best be gathered. Skills and knowledge needed: Extensive experience of working with Azure data platform technologies including Data Lake gen 2, Synapse, Analysis Services, extensive Power BI experience Extensive experience of working with Azure Data … the written word and verbally. Open to new ideas and ways of working and passionate about new technologies Hold the following qualification: Microsoft Certified: Azure Data Engineer Associate (Exam DP-203) Additional desirable qualifications: Microsoft Certified: Azure Fundamentals (Exam AZ-900) Microsoft Certified: Azure Data Fundamentals (Exam more »

support business reporting requirements. The Head of Data Engineering will be involved from the very beginning of the project and will have experience of Azure Datalake and Databricks. Key responsibilities for the Head of Data Engineering Define and drive the data engineering strategy and technical roadmap in alignment with … cross-functional teams to understand requirements and translate them into technical solutions. Architect and implement data platforms using Microsoft and Databricks technologies to support analytics, AI, machine learning, and other data-driven applications. The Head of Data Engineering will be a remote based role with the need to go … Engineering experience, leading data engineering teams Proven track record of leading successful digital transformation initiatives involving data engineering and analytics. Significant hands-on Microsoft Azure stack experience is a must: Data Lake, Data Factory, Synapse, Databricks, Power BI Strong in delivering solutions at scale, on time and within more »

highly skilled consultants, delivering modern data platforms into large organisations. You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. more »

highly skilled consultants, delivering modern data platforms into large organisations. You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. more »

highly skilled consultants, delivering modern data platforms into large organisations. You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. more »