4 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 »

stacks Architect data and digital solutions that deliver against business strategies and IT roadmaps Implementing data and digital platforms using technology from the Microsoft Azure stack Effort estimation and planning of data projects including resource planning and sizing Providing technical leadership and direction across data architecture, data engineering, data … data project management and DevOps/DataOps Demonstrable experience in delivering data projects from concept through to completion Implementation of data platform using Microsoft Azure stack (AWS and/or GCP would be of added benefit) Experience of using technologies such as Azure Data Factory, Azure Data … Lake, Azure Synapse Analytics, Azure Analysis Services, Databricks and Power BI (or equivalent technologies within AWS or GCP stack) Experience of implementing centralised data repositories and/or Data warehouses Benefits Competitive starting salary Up to 10% of basic salary in flexible benefits (to include death 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 »