7 Azure Synapse Analytics Jobs in the Midlands with Remote Work Options

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 »

Azure Head of Data Engineering Salary- £90,000 - £110,000 + Excellent benefits Location - Birmingham/Hybrid Key skills - Azure - Databricks - Data factory - Data Lakes - Synapse - Modelling - Agile Role purpose: We are actively seeking a dynamic professional to play a pivotal role in the organisation and contributing … engineering, from strategy to implementing cutting-edge technologies like Microsoft and Databricks and will enjoy being hands-on. Collaborating with leaders in the business, Analytics, Data Governance, Data Science and AI, you will be instrumental in reshaping our data landscape. This role presents a unique chance to influence cultural … 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. Work with colleagues to establish and enforce best practices for data architecture, data modelling, and data 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 »