3 of 3 Azure Synapse Analytics Jobs in Leeds

Role – Azure Data Engineer Technology – MS Fabric, Azure, PowerBI Location – Leeds, UK Job Description Today, the corporate landscape is dynamic, and the world ahead is full of possibilities! None of the amazing things we do at Infosys would be possible without an equally amazing culture, the environment where … clients continue to be the cornerstones of our organization and these values are upheld only because of our people. Your Role As an Azure & Microsoft Fabric Lead Developer, you will lead the design and development of enterprise‐grade data pipelines, lakehouses, and analytics solutions using Azure Data ...

Microsoft ecosystem. You'll work closely with clients, sales teams and technical specialists to design compelling Data & AI architectures that showcase the value of Azure, analytics, and modern data platforms. Key responsibilities: Leading presales engagements across Data & AI, translating business challenges into well-defined Microsoft-led solutions. Designing … high-level architectures across Azure Data Services, AI/ML, analytics, and modern data platforms. Supporting bids, proposals, and customer workshops, ensuring solutions are commercially viable and technically robust. Working alongside sales teams to qualify opportunities, shape customer roadmaps, and articulate the value of Microsoft Data & AI. Presenting ...

cutting edge cloud data technologies. Lead Data Engineer Responsibilities: Design, develop, and optimise robust, scalable data pipelines and architectures to support business intelligence and analytics initiatives. Manage and maintain cloud-based data platforms (AWS, Azure, or Google Cloud) including data lakes, warehouses, and lakehouse solutions. Transform and process … Collaborate closely with product managers, analysts, and software developers to ensure seamless integration and high-quality data availability. Develop, maintain, and enhance reporting and analytics capabilities through tools such as PowerBI, Tableau, or QuickSight. Apply best practices in data governance, data quality, and performance optimisation. Operate in an agile ...