4 of 4 Use Case Jobs in Cheshire

promote best practices around data architecture, governance, security, and quality Develop and optimise ETL/ELT processes to support reporting, analytics, and AI use cases Partner with data scientists and process engineers to productionise machine learning models and large language models Ensure data platforms are performant, cost-effective ...

Fabric, ensuring scalability and long-term maintainability. Integrate Machine Learning and AI capabilities into the wider data ecosystem to support predictive and generative use cases. Provide Technical Leadership & Delivery Assurance Produce roadmaps, architecture artefacts and platform documentation to guide engineering teams. Support key architectural decisions and ensure best ...

secure and aligned with enterprise data strategy. Architect cloud-native data pipelines and data models to support enterprise analytics, BI, reporting and AI use cases. Work closely with technical and business teams to translate requirements into robust, production-ready data solutions. Build & Optimise Fabric Data Pipelines Design … tuning, partitioning strategies, indexing, caching and incremental processing. Define and enforce data engineering standards, governance models, naming conventions and documentation. Ensure cost-efficient use of Fabric capacity, optimising compute utilisation across workloads. Technical Leadership & Collaboration Act as a technical authority for Microsoft Fabric, championing best practice and platform ...

move at pace within a controlled and defensible framework. Key Responsibilities Integration Risk Assessment Lead and perform risk assessments across all AI use cases, including new tools, workflows, and platform integrations, assessing each against the company's risk framework. Integrations require technical depth and will form a significant … deployment, change, and decommission. Provide regular assurance to the Director of Information Security on the completeness and accuracy of the register. Make proactive use of available tooling to monitor AI usage across the business, identifying shadow deployments, ungoverned integrations, and usage patterns that present a risk. AI Governance ...