151 to 175 of 196 Semantic Layer Jobs in England

build of Knowledge Graph solutions that transform a client's data architecture within program scope.Directs the design, development, and implementation of AI and semantic solutions, ensuring all the pieces work together seamlessly.Works with project leaders, delivery leads, and client stakeholders to create stand-out, graph-powered Data & AI offerings.Develops … strong client relationships and earns the trust of key advisors.Makes the business case for the semantic layer solution recommended to the client.Contributes meaningfully to Accenture sales and pre-sales efforts.Provides thought leadership on technology trends, new opportunities, innovations, and foreseeable limitations, risks, and concerns.EDUCATIONBachelor's degree or equivalentBASIC ...

translation of business requirements into rigorous data structures in collaboration with engineering and domain teams Guide teams on the design and effective use of semantic data models, including their application to agentic AI solutions Semantic & Knowledge Modelling Integrate semantic layers with business glossaries, data catalogues, and lineage … tooling Design and maintain semantic models to support agentic-AI capabilities Help develop ontologies, taxonomies, and controlled vocabularies underpinning enterprise metadata and search Define semantic modelling standards and patterns to ensure consistent meaning, interoperability, and AI readiness across data products Guide and control the creation of data domains ...

lead the strategic vision and hands-on execution of our Object-Centric Data Fabric. You will unify multi-stream clinical datasets with a central semantic layer, leveraging AI-augmented workflows to automate mapping, query optimization, and regulatory documentation. The role focuses on data lake architecture, AI-enabled schema ...

data platform end-to-end, ensuring accuracy before it reaches the business. You will own the warehouse, the dbt project and semantic layer, and Lightdash dashboards, shaping a single source of truth for KPIs. You’ll report to the Data Lead, collaborate with the CFO, and work ...

gold layers within a Medallion Architecture. Create scalable curated data models using dimensional modelling, star schemas, facts and dimensions, and Kimball methodologies. Define semantic data layers, modelling standards, and governance frameworks to improve consistency, quality, and reusability. Manage logical and physical data models, including metadata, business glossaries, data flows … SKILLS AND EXPERIENCE: Strong hands-on experience in Data Architecture and Data Modelling within enterprise-scale environments. Excellent knowledge of dimensional modelling, star schemas, semantic layers, and Kimball methodologies. Experience designing and implementing curated data models within cloud-based data platforms. Strong understanding of logical, physical, transactional, analytical ...

pipelines processing sportsbook events such as bets, pricing, and settlements. Data assets supporting trading analytics, risk monitoring, and customer personalisation. Integration with BI tools, semantic layers, and machine learning platforms. Data governance and metadata tooling to improve transparency and trust in data. Your Experience 2–4 years experience … fast-paced, evolving environment. Nice to Have Exposure to sports betting, trading, or financial data domains. Familiarity with event-driven architectures. Experience with semantic layers or BI tooling. Exposure to data governance or metadata tooling. Interest in supporting machine learning or analytics workflows. Why This Role Matters This role ...

enterprise consistency and engineering excellence.Key Responsibilities:1. Enterprise Data Modelling• Lead the enterprise approach to analytical data modelling, including domain models, dimensional models and semantic layers.• Establish reusable modelling patterns and common business entities that create consistency across Data Products.• Reduce duplication and improve the performance, scalability and maintainability … Head of Analytics Engineering to shape the technical roadmap and future engineering capability.Key Technology Areas:Snowflake • DBT • SQL • Python • Git/CI/CD • Semantic Layers • Data Contracts • Data Quality & Observability • Snowflake Cortex • LLMs & AI Agents • AWSSkills & Experience:Must Have• Strong hands-on Analytics Engineering/Data Engineering experience ...

Reply designs and builds semantic layers that give organisations a single, machine-readable view of their data. You will create ontologies and knowledge graphs across domains, connecting data, systems, and AI solutions from discovery to production. The role emphasizes governance, scalable models, and productionising AI-powered features, including prompt ...

identify opportunities others have not yet recognised and influence senior leaders across regions, functions and disciplines. The organisation is investing significantly across customer platforms, semantic layers, data infrastructure and wider enterprise transformation. The successful individual must therefore be comfortable moving between modelling innovation, technology architecture, organisational design and commercial ...

Codify the firm’s unwritten methods and judgements into the coworkers and playbooks that run at machine speed. Anchor them through the ontology and semantic layers in Celeste so the agents reason the way its own people do. Earn adoption – Lead the actions that earns Celeste’s adoption, from ...

Codify the firm's unwritten methods and judgements into the coworkers and playbooks that run at machine speed. Anchor them through the ontology and semantic layers in Celeste so the agents reason the way its own people do. Earn adoption – Lead the actions that earns Celeste's adoption, from ...

continuing acquisition programme. Now we are building the technology that unites them: one AI-first tech stack - the Pulse Platform, with one data layer, and an AI-first client experience for one of the largest advice markets in the country. We're a people-first business where colleagues excel … care. We're obsessed with the client experience, naturally curious, and never stop striving for better. About the role Pivotal Insights is our data layer: a Microsoft Fabric platform bringing data from across the group - CRMs, finance, people and, in time, telephony, marketing and more - into one common data ...

framework Creating curated data models using dimensional modelling and Kimball methodologies Defining modelling standards, governance frameworks, and data feed specifications Supporting the design of semantic layers that enable reporting, analytics, and future AI use cases Collaborating closely with Data Engineers and Analytics Engineers in an agile delivery environment Producing … dimensions, and Kimball methodologies Experience designing and implementing Medallion Architecture frameworks Strong knowledge of Azure-based Data Lakehouse environments Experience creating curated and semantic data layers for analytical consumption Proven ability to develop architecture standards, governance frameworks, and modelling best practice Experience working across the full data lifecycle, from ...

domain. Principal Accountabilities Data Product Ownership Own and evolve the Lending data model across BigQuery and Looker Deliver standardised, scalable data models (gold + semantic layers) Ensure data models accurately reflect lending business logic and requirements Drive data quality, validation, and consistency across datasets Technical Leadership Define and implement … transition to GCP and Looker platforms Personal Attributes & Experience Technical Strong SQL and data modelling experience (BigQuery or similar preferred) Experience working with BI semantic layers (Looker preferred) Proven ability to design and deliver scalable data models Domain & Problem Solving Strong understanding of data flows across complex systems (particularly ...

service model that serves Risk and Compliance.• Delivery. Deliver priority data products and automation. • Operating disciplines. Own the data-product operating disciplines, product management, semantic and taxonomy ownership, and AI access and insight assurance.• Outcomes. Measure and report success by decision-influence and accountability outcomes, not build volume.Key Relationships … Work With• LLMs and agentic frameworks• RAG architectures• AI agents and orchestration (e.g. LangChain/LangGraph)• Python and modern data engineering• Snowflake and governed semantic layers• AWS/GCP cloud services• Vector databases• Data pipelines and MLOps tooling• Business intelligence and visualisation tools#LI-AB3What ...

encouraged and collaboration across Product, Data, Delivery and Engineering is the norm.The role:As an Analytics Engineer, you’ll design and own the transformation layer that turns raw operational data into reliable, well-documented analytical assets.Working at the intersection of data engineering and business analytics, you’ll build trusted … evolve.What you'll get to do:Design & build dbt models with a clear layering and data modelling approach.Own data model quality through comprehensive testing.Build semantic layers (LookML, dbt Semantic Model, or equivalent) to enable self-serve analytics.Collaborate across functions to understand business requirements and translate them into data ...

translation of business requirements into rigorous data structures in collaboration with engineering and domain teamsGuide teams on the design and effective use of semantic data models, including their application to agentic AI solutionsSemantic & Knowledge ModellingIntegrate semantic layers with business glossaries, data catalogues, and lineage toolingDesign and maintain semantic models to support agentic-AI capabilitiesHelp develop ontologies, taxonomies, and controlled vocabularies underpinning enterprise metadata and searchDefine semantic modelling standards and patterns to ensure consistent meaning, interoperability, and AI readiness across data productsGuide and control the creation of data domains that align with the banks underlying capabilitiesData Engineering ...

payments at scale, and the company operates in the fintech sector. Задачи: Lead continuous improvement of the People Analytics data ecosystem, including pipeline quality, semantic layers, and shared data products; Own the full product development lifecycle for assigned stakeholder groups, from requirements gathering and design to pipeline development, Looker … machine learning or statistical modelling in a production context, exposure to AI product development, LLM tooling, or data applications, experience with data quality frameworks, semantic layers, or data observability tooling, prior experience working with HR, people, or workforce data. Условия: Three days per week in the office; The role ...

consultancies. This is an opportunity to join a highly respected consultancy focused exclusively on the modern data stack, helping organisations build scalable analytics platforms, semantic layers, governed self-service reporting, and AI-enabled analytics solutions using Google Cloud technologies. Unlike larger consultancies, you'll work directly with clients, company … rather than simply delivering technical tasks. What you'll be doing Client Delivery Design and implement modern analytics platforms Build scalable data models and semantic layers Develop reporting and analytics solutions Deliver multiple concurrent consulting engagements Lead technical discussions directly with clients Consulting & Stakeholder Management Run discovery workshops ...

usage across the Lending domain.Principal AccountabilitiesData Product OwnershipOwn and evolve the Lending data model across BigQuery and LookerDeliver standardised, scalable data models (gold + semantic layers)Ensure data models accurately reflect lending business logic and requirementsDrive data quality, validation, and consistency across datasetsTechnical LeadershipDefine and implement best practices … organisation’s transition to GCP and Looker platformsPersonal Attributes & ExperienceTechnicalStrong SQL and data modelling experience (BigQuery or similar preferred)Experience working with BI semantic layers (Looker preferred)Proven ability to design and deliver scalable data modelsDomain & Problem SolvingStrong understanding of data flows across complex systems (particularly lending or financial ...

evolving fast. With new tooling changing how we work, we are shifting from building data pipelines to building AI first data products, developing rich semantic and data context layers and empowering self-serve data users. This role leads that work across a defined business domain, directly managing a team … product level, with experience aligning analytics investment to domain prioritiesNice to HaveExperience in a marketplace, e-commerce, grocery or retail analytics contextFamiliarity with semantic and metrics layer tooling, or Python for data automation and pipeline workExposure to AI for Data, including agentic AI methods, semantic layers ...

role will play a critical part in moving Cluttons towards a fully integrated data environment, combining multiple data sources into a consistent reporting layer and delivering actionable insight to leadership. This is a hands-on leadership role, combining strategic design, technical delivery and stakeholder engagement. You will be positioned … lifecycle management. Lead the implementation and use of Microsoft Fabric as the core data platform. Define and manage data ingestion, transformation, modelling and semantic layers. Ensure compliance with information security and regulatory requirements. Reporting & Insight Deliver a standardised reporting suite covering pipeline, timesheets and financial performance across all business ...

intelligence platforms.Develop trusted, fact-based insight experiences that minimise AI hallucinations and provide clear, explainable outputs.Partner with data, BI, and technology teams to optimise semantic models for AI readiness.Apply data science, machine learning, NLP, and advanced analytics techniques to enhance insight generation and anomaly detection.Contribute to the organisation … Applied Analytics, or a related field.Proven ability to develop strategy and influence senior stakeholders, including executive-level audiences.Hands-on experience with enterprise data modelling, semantic layers, and business intelligence platforms (Power BI experience highly desirable).Experience working with LLMs, conversational AI, natural language analytics, or generative AI solutions.Deep understanding ...

evolve the Lending data model across BigQuery and Looker Deliver standardised, scalable gold and semantic data layers Ensure data models reflect lending business logic and requirements Drive data quality, validation, and consistency across datasets Define and implement analytics engineering best practices for modelling, naming, documentation, and testing Lead design … organisation's transition to GCP and Looker platforms Requirements Strong SQL and data modelling experience; BigQuery or similar preferred Experience working with BI semantic layers; Looker preferred Proven ability to design and deliver scalable data models Strong understanding of data flows across complex systems, particularly lending or financial services ...

commercial impact. The Role * Drive innovation across analytics, identifying opportunities to leverage AI, automation, and modern analytics tooling. * Help define and implement strategies for semantic layers, self-service analytics, and metric governance. * Improve technical standards, ensuring analytics solutions are scalable, reliable, and consistent. * Partner with Data, Product, Engineering … engineering, data strategy, or a related field. * Advanced SQL and data modelling skills, with strong knowledge of modern analytics tools and platforms. * Experience developing semantic layers, metric frameworks, and self-service reporting capabilities. * Knowledge of tools such as dbt, MetricFlow, LookML, or equivalent technologies. * Strong understanding of analytics architecture ...