4 Permanent Azure Synapse Analytics Jobs in the Thames Valley

AI Architects. Experience of the build of Data Integration and Analysis Systems (DIAS) in an industrial/enterprise environment. Deep knowledge of the Microsoft Azure technology stack as it relates to Data and Insight (Azure SQL VMs, SQL Managed Instances, Azure DB, Data Lakes, Azure Synapse and Power BI, Azure Data Factory). Proficiency in at least one scripting language (i.e. SQL, and PySpark/Python). Proficiency of designing and building API and API Consumption. Familiarity with data visualisations tools such as PowerBI. Proficiency in ETL/ELT tooling. Experience with deploying infrastructure … environment for all employees. KEYWORDS Head of Data Engineering, Data Engineering, Data Service Model, Data Platforms, Data Models, Data Architecture, Data Integration, DIAS, Microsoft Azure, Azure DB, Data Lakes, Azure Synapse, Power BI, Azure Data Factory, SQL, PySpark, Python, APIs, ETL, ELT, CI/CD more »

that grows and improves every day. Get in touch ROLE OVERVIEW Join GRIDSERVE as a Data Product Manager who excels in strategic thinking and analytics, with a particular emphasis on data. The ideal candidate will have experience of working with data teams in the energy or an equivalent sector … define and deliver data products previously.The candidate will be very experienced as a scrum master and managing AGILE continuous delivery. The individual will be Azure literate and have worked with modern “Data Lakehouse” with Azure Synapse Analytics. We expect the person to have worked on real-time … Azure projects in various commercial domains. The person will have exposure to modern data tools including Azure Databricks, Cosmos, and data integration technologies. Additional exposure to working with data science teams, and supporting machine learning activity would be highly valued. MAIN RESPONSIBILITIES Be the accountable person for Data 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 »