51 to 62 of 62 Semantic Layer Jobs in the UK excluding London

role with occasional travel to head office and parks. You will design Kimball-style dimensional models, craft robust transformations in dbt, and drive the semantic layer that delivers trusted guest insights for dashboards and forecasts. We value deep modelling expertise, strong SQL/dbt skills, and a collaborative ...

operational data model and data management strategy. You will work on logical and physical models, align with industry standards, and create a semantic layer to support AI tools while ensuring data context and safety. You will join the Office of the CTO's Enterprise Architecture team, collaborate with ...

business that helps organisations make better decisions through data. A robust data platform is already in place, significant work has been completed around the semantic layer and the business is now entering the next phase of its transformation, focused on connecting data, technology, and customer intelligence more effectively ...

deliver analytics solutions from first questions to final delivery. You will partner with senior stakeholders and technical colleagues, contributing hands-on to models and semantic layers for AI-based solutions while ensuring reliable, reusable outcomes at pace. You will collaborate across teams to translate business questions into data-driven ...

role in developing high-quality, analytics-ready data across its modern data platform. This is an opportunity to take ownership of the curated data layer within a Databricks Lakehouse environment, translating complex business requirements into robust data models and transformation pipelines that support reporting, analytics, and business decision-making. … Responsibilities: Lead the design and development of curated, analytics-ready dimensional and semantic data models. Build, maintain and optimise complex SQL and PySpark transformation pipelines within Databricks. Define and maintain KPI definitions, conformed dimensions and consistent business logic across data domains. Ensure data quality, integrity, testing, observability and performance ...

role bridges Marketing and Data, ensuring data is accurate, accessible, and actionable. You’ll drive data-driven marketing by developing KPIs, dashboards, and a semantic layer, with deep dives into campaigns and growth drivers. #J-18808-Ljbffr ...

Agentic BI architectures using Snowflake Cortex, Snowpark, AWS Bedrock, SageMaker and LLM technologies Develop architecture patterns for Retrieval Augmented Generation (RAG), vector search, semantic layers, knowledge graphs and enterprise AI assistants Establish governance, security, data quality and Responsible AI standards across data and AI solutions while providing technical leadership … intelligent automation and AI-powered analytics solutions Experience implementing AI technologies such as Snowflake Cortex AI, Snowpark, AWS Bedrock, SageMaker, vector search and semantic search architectures Experience delivering Business Intelligence platforms, self-service analytics solutions and working knowledge of DataOps, MLOps and LLMOps practices Demonstrable experience working in telecommunications ...

teams, you’ll identify high-value opportunities, understand user needs and develop solutions that are usable, explainable and measurable. You’ll enable governed metrics, semantic layers and consistent business definitions to ensure conversational experiences are built on trusted, well-understood data. You’ll lead proof-of-concepts for emerging … services through APIs, building automated data, analytics, and AI workflows, and managing technical dependencies within complex enterprise environments Strong understanding of data modelling, semantic layers, business intelligence, analytics, data governance, authentication, and enterprise data flows Experience developing, prototyping, evaluating, and implementing AI, machine learning, or conversational solutions, including testing ...

Programme as we replace our BW/BPC landscape with SAP Datasphere and Business Data Cloud (BDC) with SAC as the reporting and planning layer, as part of our S/4HANA transformation. This role is offered as a two-year fixed term contract, running from greenfield platform design … everything is built from scratch, making early design decisions critical. You must be proficient with SAP Datasphere; space design, data flows, replication flows, and semantic modelling. Youll also be charged with developing the standards, documentation, and approach to gathering data requirements. Whilst a big part of the role ...

best-in-class. As the Data Governance & Data Product Lead in the Office of Regulation and Document Governance (ORDG), you will own the foundation layer of ORDG’s Data, Analytics & AI capability — turning policy content into governed, machine-readable data products that AI services, controls and reporting all consume. … control-related data domain — including obligations, controls, standards or procedure content — and its transformation into a governed data product. Working knowledge of Data Mesh, semantic layers, canonical modelling approaches and modern data-catalog/lineage tooling. Familiarity with JPMorganChase data standards, CDAO frameworks and firmwide governance operating models. Experience ...

Management (MDM), Data Quality & Observability, Metadata Management and Data Products as well as supporting organisations adoption of AI including Agentic Data Management, AI Observability, Semantic Layers and Ontologies. We are looking for candidates that have deep experience in one or more core capabilities below and wants … reinventing Data Management & Governance for the AI era. AI Data Management: awareness or experience of areas such as Agentic Data Management, AI Observability, semantic layers, knowledge graphs and ontologies. Data Governance & Strategy : experience supporting the design or implementation of governance frameworks, policies, standards, controls, ownership and stewardship models. Data ...

foundations that make AI delivery faster, safer and easier to scale. Leading design and delivery teams to build AI-ready data foundations, platforms and semantic layers that provide trusted business context, reusable knowledge assets and reliable access to enterprise information for AI and analytics Designing and embedding engineering capabilities … human decision-makers, while supporting technology and platform decisions. Understanding of the foundations required to build trusted enterprise AI, including cloud data platforms, semantic layers, data products, AI evaluation, security, governance and responsible AI practices. Consulting & Client Leadership: Experience in consulting or client-facing roles, building trusted senior client ...