2 of 2 Permanent Azure Synapse Analytics Jobs in Edinburgh

Azure Data Engineer UK Remote (with occasional travel) This is an exciting Senior Data Engineering rolewith one of the UKs fastest-growing AI and Data transformation partners. In return for an exceptional package, flexible work and remote-first, you will get the chance to play a key role in the development of Azure data platforms for the leading … depending on experience. This role would see you immersed in the very latest and best of cloud-first, data-engineering and data-architecture. We really need an Azure expert who lives and breathes the Microsoft data ecosystem, covering tools like Data Factory, Data Blocks, Azure SQL, and much more. The Data & AI arm of this organisation is seeing … exceptional growth, with a number of high-profile projects kicking off. As one of the principal owners of their MS Azure data strategy and architecture, you would be responsible for: The build of cloud-based data platforms incorporating the full Azure data stack ETL Pipelines Data Modelling (Logical, Physical, Conceptual) Data Mapping The skills we are looking for More ❯

pipelines that underpin our investment data products. These products are central to many of the initiatives within the Tribe and are used across the organisation to support portfolio management, analytics, and regulatory reporting. As such, we are looking for engineers who can hit the ground running - with the ability to quickly understand investment data, navigate complex data flows, and … Responsibilities Design, develop, and maintain robust, scalable data pipelines and services that support investment data products and reporting platforms. Build and optimise data integration workflows using tools such as Azure Data Factory, Synapse Pipelines, and SQL/T-SQL, ensuring data quality, performance, and reliability. Contribute to the evolution of our cloud-native data architecture, leveraging Azure Databricks, Azure Data Lake, and Snowflake where appropriate. Apply strong data modelling and transformation skills to support analytics, regulatory reporting, and operational use cases. Promote and implement engineering best practices, including test automation, unit testing, and CI/CD pipelines. Support data governance and metadata management initiatives to ensure data integrity and compliance. Explore and apply AI More ❯