13 of 13 Remote/Hybrid Semantic Layer Jobs in the UK

Post-Bronze Ownership: Take full technical accountability for the data transformation lifecycle. This spans the entire medallion journey—cleansing data out of the Bronze layer, engineering robust Silver and Gold multi-use layers, establishing the enterprise semantic layer, and optimising the final presentation within consumption workbenches (e.g. … organisation. You will establish the standards that ensure our engineers maintain engineering excellence when embedded into delivery-focused Pods across various business areas. Semantic Enablement for AI: Lead the design of advanced metric graphs and semantic layer protocols specifically optimised to safely feed generative AI applications, text ...

cloud data platforms, lakehouse architectures, and analytics ecosystems Lead architecture for data modelling, warehousing, and ETL/ELT pipelines Design and oversee BI and semantic layer architecture (Power BI and similar tools) Define standards for data governance, security, lineage, and data quality Engage senior stakeholders to shape data ...

machine learning use cases in a structured, governed, and scalable way. This includes end-to-end accountability for data ingestion, transformation, lakehouse design, semantic modelling, and the development of reliable data products. The role ensures business data is accessible, consistent, and trusted, with clearly defined metrics that enable high … Manage ingestion, transformation and storage of data across the platform. Ensure the platform supports both analytical and AI/ML workloads. 2) Data Modelling & Semantic Layer Define and maintain core business metrics and calculations. Ensure consistent definitions across all datasets and outputs. Develop and manage semantic models ...

platforms. Understanding of data modelling and data transformation principles. Ability to work within collaborative engineering teams. Desirable Skills Airflow Databricks AI-focused development experience Semantic layer experience Exposure to Azure-based/other cloud environments and integrations. ...

relevant scientific, engineering, or data field. Demonstrated experience operationalising MLOps, model lifecycle management, and validation in GxP contexts. Familiarity with generative AI, knowledge graphs, semantic layers, and digital twins for manufacturing and CMC. Experience leading global, multi‐functional teams and vendor ecosystems across multiple time zones. Knowledge ...

relevant scientific, engineering, or data field. Demonstrated experience operationalizing MLOps, model lifecycle management, and validation in GxP contexts. Familiarity with generative AI, knowledge graphs, semantic layers, and digital twins for manufacturing and CMC. Experience leading global, multi-functional teams and vendor ecosystems across multiple time zones. Knowledge ...

deliver a step-change in how insight is generated, distributed and consumed across the Group, moving to a unified, conversational, proactive AI insight layer built on the Central Data Layer (CDL).This role goes beyond traditional BI or analytics leadership. It requires redefining the paradigm of insight consumption … from "pull-based reporting" to "AI-driven push, nudging and decision support", enabled through semantic abstraction, conversational access, and multi-channel delivery.You will lead the development of the vision and associated architectures (including Claude-enabled interaction models), ensuring these are translated into production-grade, scalable capabilities adopted across ...

Foundry, covering data integration, pipelines, transformations, ontology modelling, governance, and operational applications Own and evolve the enterprise ontology , defining object types, links, actions, and semantic relationships across clinical and operational domains Design scalable, modular, and governed data pipelines , following Foundry best practices (DRY principles, no circular dependencies) Integrate structured … Strong understanding of healthcare datasets , including: EPR/PAS FHIR/HL7 Clinical coding and workforce data Proven experience in: Enterprise data modelling/semantic layer/ontology design Delivering within regulated environments (NHS, ICS, Government, or large healthcare providers) Strong stakeholder management and communication skills , with ...

strategy and influence data governance at scale Involvement in a major cloud migration programme Exposure to emerging areas such as AI-enabled analytics and semantic layer development Clear progression within a structured framework How to Apply If you are an expert in Tableau, apply below ...

Business to ensure analytics is embedded in every decision Drive "Data as a Product" , owning the evolution of our data models and semantic layer, ensuring teams can reliably self‐serve from high‐quality data products Champion governance and guardrails , establishing rigorous standards for modelling, semantics, testing, and auditability ...

Azure Environment. Key Criteria: Strong knowledge of: Cloud-native data platforms (e.g., lakehouse, warehouse, streaming systems) Modelling approaches (medallion, dimensional, event-driven, semantic layers) Data governance frameworks and metadata tooling Data lineage, cataloguing, discovery, and documentation Data quality and observability tooling Data access/security patterns Skilled in standardisationcreating ...

only for measurement strategy but also for helping shape the future customer and marketing technology ecosystem. Major investment is underway across customer platforms, semantic layers, data infrastructure and marketing technology, requiring an individual who is equally comfortable discussing econometric methodologies, technology architecture and commercial outcomes. Perhaps most interestingly ...

long-term operating model for Consumer Data Science as the organisation continues its transformation. The wider business is investing heavily across customer platforms, semantic layers, data infrastructure and enterprise transformation programmes, requiring an individual who is equally comfortable discussing modelling approaches, technology architecture and commercial outcomes. Perhaps most compellingly ...