2 of 2 Data Warehouse Jobs in Brighton

A growing Microsoft Partner Consultancy are looking for a passionate Data Engineer join their impressive team, and work on cutting-edge projects for a variety of customers. The role is home-based, with some element of travel to client sites when required, and to company conferences and events (expenses-paid). For this reason, they're able to … consider candidates across the UK. This role sits within their specialist Data Practice - where you'll work as part of an Agile team to deliver modern data solutions for their clients, enabling better decision-making and driving innovation. You'll work on projects end-to-end, from running workshops to gather requirements, through to solution design … development, implementation and support. Projects typically span data ingestion, data storage (e.g. building new data lakes or data warehouses), data processing, data management, analytics and visualisation, using the latest technologies such as Azure SQL, Synapse Analytics, Fabric, Databricks, Power BI and more This role would be well-suited More ❯

Azure Data Architect Brighton, East Sussex, £80 - £90k Azure Data Architect is required by our client who are a fast-growing and technically advanced multi-award-winning company going through an extended period of growth. Key responsibilities: Design, develop, and maintain data architectures using Azure Databricks and Synapse. Collaborate with cross-functional teams to … understand data requirements and translate them into robust architectural solutions. Optimize data workflows and ensure seamless integration with various data sources. Implement data governance and security best practices. Provide technical leadership and guidance to the development team. Conduct performance tuning and optimization of data processes. Skills required: Proven experience as … a Data Architect working within Azure. Expertise in Azure Databricks and Azure Synapse. Strong understanding of Datamodelling, ETL processes, and data warehousing concepts. Proficiency in SQL, Python, and other relevant programming languages. Experience with data governance, data quality, and data security best practices. Excellent problem-solving skills and attention to More ❯