3 of 3 Permanent Azure Synapse Analytics Jobs in South Wales

opportunity for an experienced Data Engineer to combine hands-on technical delivery with team leadership responsibilities, helping to shape the future of a modern Azure-based data platform. Working closely with stakeholders across technology and the wider business, you will be responsible for developing and enhancing data pipelines, data … role in mentoring engineers, managing deployments and driving continuous improvement across the data estate. This role would suit a Senior Data Engineer with strong Azure, Fabric and SQL expertise who enjoys leading technical initiatives, improving data platforms and supporting the development of high-performing engineering teams. Key Responsibilities * Lead ...

Want to take real ownership of an Azure environment rather than spend your time maintaining someone else's decisions? We're looking for a Senior Azure Platform Engineer to join an organisation going through a significant technology transformation, moving towards a predominantly cloud-native environment built around Azure and the wider Microsoft ecosystem. This is a genuinely hands-on senior engineering role where you'll have the opportunity to shape the Azure platform, influence technical decisions and lead projects , with plenty of scope to improve automation, Infrastructure as Code and engineering standards. You'll also ...

business. The Data Engineer will be responsible for developing robust data engineering solutions that reduce manual processes, improve data quality, and enable self-service analytics at scale. You will have strong experience in data architecture, ETL development, and modern data warehousing practices, including the application of Kimball methodology … processes. Strong experience of Kimball data modelling techniques (e.g. star schema, dimensional modelling). Experience working within a Microsoft data stack (e.g. SQL Server, Azure Data Factory, Azure Synapse, Microsoft Fabric, or similar). Experience working with structured data from multiple operational systems. Strong understanding of data ...