2 of 2 Remote Data Transformation Jobs in Midlothian

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 … salary with bonuses etc. Salary is from £60,000 - £70,000 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 More ❯

their customers or looking after their people, you'll find there's a warmth and friendliness to everything they do. Key responsibilities Lead end-to-end change management for data platform initiatives, ensuring alignment with business objectives and regulatory requirements. Collaborate with cross-functional teams including Data Engineering, Architecture, Compliance, and Business Units. Drive adoption of Microsoft Fabric … and Azure Data Lake across the enterprise. Develop and execute change strategies, stakeholder engagement plans, and communication frameworks. Identify and manage risks, dependencies, and resistance to change. Support training and enablement activities to build data literacy and platform usage. Ensure governance and controls are embedded in all change activities. Track and report on change KPIs, business readiness, and … benefits realization. Skills and Qualifications Proven experience as a Change Manager in financial services , ideally within data transformation or digital modernization programmes. Strong understanding of Microsoft Fabric , Azure Data Lake , and modern data architectures. Familiarity with data governance , data quality , and compliance frameworks (e.g., GDPR, BCBS 239). Excellent stakeholder management and communication skills. More ❯