16 of 16 Semantic Layer Jobs in the UK excluding London

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 ...

data products they need Contribute to data governance, cataloguing, access management and platform security (Analytics Engineer) Sit closer to the analyst side—transformation, modelling, semantic layer, metrics (Platform Engineer) Sit closer to the platform side—infra, tooling, developer experience for data practitioners (For Senior/Lead/Principal ...

organisation's reporting environment. Key Responsibilities Build and maintain data pipelines using Microsoft Fabric and related technologies Develop lakehouse architectures, data models and semantic layers Integrate data from a variety of operational systems, cloud platforms and APIs Optimise datasets and reporting performance within the Microsoft ecosystem Support data governance ...

nice-to-haves." Direct and quality-assure the technical outputs of Data Scientists and AI Engineers, with a specific focus on Knowledge Graph architecture, semantic layer design, and Agent AI frameworks. Define and enforce best practices for data science workflows (experimentation, feature engineering, model validation) to ensure reproducibility … Science and Business Strategy. AI Workflow Expertise: Deep understanding of Data Science development cycles, MLOps, and how to quality-assure machine learning models. Graph & Semantic Knowledge: Strong conceptual and practical knowledge of Knowledge Graphs; ability to direct engineers on entity resolution and relationship mapping. Coordination Capability: Demonstrated success coordinating ...

growth. What the role involves: Designing and building cloud-native data infrastructure that scales Building and maintaining reliable ingestion, transformation and orchestration pipelines Developing semantic models and governed data structures that people can trust Improving data quality, observability and lineage across the platform Contributing to architectural decisions and long … with AWS and modern warehousing tech - Redshift in particular Experience with dbt or similar transformation tooling A good understanding of data modelling, governance and semantic layer design Experience with agentic AI or AI-assisted tooling within data workflows Strong engineering judgement and the ability to balance long term ...

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 ...

Translate roadmap into phases of discovery, design, implementation, and validation, ensuring each phase has defined deliverables, owners, and timelines Define business logic and semantic layers for Awin’s financial and business analytics Collaborate with and serve as the first point of contact for business stakeholders to understand and solve ...

following would be an advantage: SaaS or enterprise data environments Data integration or ETL processes Git or other version control tools Familiarity with semantic layer tools such as Cube or LookM Why Apply? You'll be joining a highly collaborative team where your work directly influences product quality ...

Engineer positions—for upcoming roles across commercial, customer, product, finance, marketing and operations reporting. These are hands-on roles where you'll own the layer that turns warehouse data into the dashboards, semantic models and self-service tools the business actually uses to make decisions. You'll work … translate them into BI deliverables Design and build production-grade dashboards and reports in Power BI, Tableau, Looker or equivalent Develop and maintain semantic models (DAX, LookML, Tableau data models) that scale across the organisation Build and optimise data marts and reporting layers in the warehouse Write efficient ...

responsibilities in an 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 toolingData lineage, cataloguing, discovery, and documentationData quality and observability toolingData access/security patternsSkilled in standardisationcreating reusable data ...

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 ...

economics and integration with Pfizer’s enterprise platform standards. Operating‐design safeguards Data Architect operates horizontally across the four Build sub‐pillars to protect semantic standards, AI‐ready criteria and data quality. Solution Architect operates horizontally to ensure solutions compose the data foundation, AICL and enterprise platform spine consistently. … working to one standard, including reporting & BI and the knowledge & unstructured squad that underpins retrieval quality for the AI Capability Library (AICL). Own semantic standards, inheritance rules and AI‐ready criteria through the Data Architect; run the Collibra dictionary, master & reference data operations and governance council. Own data ...

economics and integration with Pfizer’s enterprise platform standards. Operating‐design safeguards Data Architect operates horizontally across the four Build sub-pillars to protect semantic standards, AI‐ready criteria and data quality. Solution Architect operates horizontally to ensure solutions compose the data foundation, AICL and enterprise platform spine consistently. … ready‐to‐use), including reporting & BI and the knowledge & unstructured squad that underpins retrieval quality for the AI Capability Library (AICL). Own semantic standards, inheritance rules and AI-ready criteria through the Data Architect; run the Collibra dictionary, master & reference data operations and the governance council. Own data ...

economics and integration with Pfizers enterprise platform standards. Operating-design safeguards Data Architect operates horizontally across the four Build sub-pillars to protect semantic standards, AI-ready criteria and data quality. Solution Architect operates horizontally to ensure solutions compose the data foundation, AICL and enterprise platform spine consistently. … ready-to-use), including reporting & BI and the knowledge & unstructured squad that underpins retrieval quality for the AI Capability Library (AICL). Own semantic standards, inheritance rules and AI-ready criteria through the Data Architect; run the Collibra dictionary, master & reference data operations and the governance council. Own data ...

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. You ll also be charged with developing the standards, documentation, and approach to gathering data requirements. Whilst a big part of the role ...

model, master data sources, and integration between Platforms. The role also requires some technical implementation experience, for example in delivering Data Products or a semantic layer. This is a key role as R&D transforms into a Product operating model and drives insight from its data with increasing speed … architecture vision. Direct how foundational data architecture is set up by driving the adoption of modern data architecture approaches including Data Mesh, Data Products, Semantic Layers, and Knowledge Graphs. Evaluate emerging data trends and propose innovations to enhance R&D productivity and enable next-generation research solutions Ensure data ...