21 of 21 Semantic Layer Jobs in the UK excluding London

customers interact with.Experimentation rigour. Lead A/B tests, holdouts, sample sizing, and post-test analysis to support confident decisions.Own certified metrics and the semantic layer for your squad’s domain. Ensure metrics are consistent, documented, accessible, and trusted.Applied AI as a working tool. Use LLMs … senior commercial stakeholders.It would also be greatifyou have:Familiarity with AI evaluation patterns - eval sets, scorecards, guardrails for non-deterministic outputs.Working understanding of the semantic layer and certified metrics.Hands-on experience prototyping data-driven product featuresExperience as the data expert in an Agile squad alongside Product, Engineers ...

understanding of how data models feed downstream analytics and reporting. Exposure to analytics engineering practices and tooling (e.g. dbt conceptual patterns, data contracts, semantic layers). Experience in e-commerce or retail data environments is desirable. Familiarity with data mesh or data platform architecture patterns and their practical application ...

future of travel with us About the RoleWe’re looking for an Analytical Engineer to help shape the trusted data models, metrics and semantic layers that power decision-making across On the Beach.This role sits at the intersection of data engineering, business intelligence and emerging AI capabilities. … Engineering, Analytics, Product, Commercial and Technology teams to create high-quality analytical data products.You’ll help define and maintain the business logic, metrics and semantic structures that sit between our data platform and the teams using data every day.You’ll be responsible for:Designing, building and maintaining trusted analytical ...

cloud-based Lakehouse platform using Microsoft Fabric Building scalable and reliable data pipelines using a Medallion architecture approach Designing robust data models and semantic layers across multiple business domains Establishing engineering best practices, governance frameworks and development standards Managing and developing a small team of data engineers Partnering with … stakeholders across the organisation to translate business requirements into scalable data solutions Enabling high-quality downstream reporting, analytics and Power BI semantic models Supporting long-term data innovation and AI initiatives across the organisation YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Strong expertise in dimensional data ...

consistent understanding and reuse - Ensuring data models are optimised for Power BI consumption, including considerations for performance, aggregation, and usability - Supporting the design of semantic layers and ensure alignment between data models and reporting models - Working closely with Business Analysts and Power BI Developers to ensure data structures meet ...

modelling and data transformation principles. Ability to work effectively within collaborative engineering teams. Desirable Experience: Airflow Databricks Experience supporting AI or machine learning initiatives. Semantic layer experience. Exposure to Azure and multi cloud environments. Understanding of Inmon 3NF data modelling methodologies. Reasonable Adjustments: Respect and equality are core ...

trusted partner to senior leaders, influencing at executive level.Experience defining and embedding end‐to‐end BI delivery methodologies.Strong understanding of data governance, semantic models and trusted data principles.Hands‐on experience delivering BI in an agile, iterative environment.Experience working within insurance or wider financial services data landscapes.Desirable SkillsPractical experience with … rationalising large BI and reporting estates.Exposure to AI‐augmented analytics or automated insight generation.Experience leading BI teams through organisational change or consolidation.Familiarity with enterprise semantic layer technologies.Responsible Artificial Intelligence usage.What We Will Offer YouRecognised and rewarded for a job well done, we have a range of flexible benefits ...

company's enterprise data warehouse. Responsibilities include: Dimensional modelling Star schema design Fact and dimension modelling Slowly changing dimensions Master data management Metadata management Semantic layer design Data lineage Business definitions Data quality controls You will ensure the warehouse becomes the trusted source for all business reporting. Data ...

delivery focused Data Modeller who combines strong architectural thinking with genuine hands-on capability. You'll be comfortable moving between business requirements, data modelling, semantic layer design and technical implementation, helping to drive a best in class data platform. Key Knowledge Designing and delivering enterprise scale data models … Snowflake Working hands-on across data warehousing, data integration and data exchange solutions Defining and implementing logical and physical data models Developing and optimising semantic layers to support reporting, analytics and self-service consumption Collaborating with Data Architects, Engineers and Business Stakeholders to translate requirements into scalable solutions Supporting ...

responsibility for the outcome. Strong experience with Databricks and Azure OpenAI, which underpin much of our delivery. Nice to have Ontology, knowledge graph or semantic layer experience. Delivery experience in pharma or CPG. Practical experience designing systems around EU AI Act requirements. Multilingual AI systems in production. ...

platform maturity. Responsibilities include: Leading end-to-end Tableau development across Tableau Desktop, Tableau Prep, and Tableau Cloud Designing and maintaining scalable data sources, semantic layers, and reporting solutions Defining and embedding Tableau development best practices across the business Building high-quality dashboards that deliver actionable business insights Writing ...

with any of the following would be an advantage:SaaS or enterprise data environmentsData integration or ETL processesGit or other version control toolsFamiliarity with semantic layer tools such as Cube or LookMWhy Apply You’ll be joining a highly collaborative team where your work directly influences product quality ...

Office and other Divisional Data OfficersCollaborate with SME teams building and scaling data platforms (data lakes, warehouses) across on-prem, cloud, and hybrid environments.Implement semantic layers for consistent, governed data views, enabling self-service analytics and explainable AIOversee data quality processes and enforce standards to minimize data duplication … Experience in building & scaling data lakes, data warehouses, and associated data systems.Databases: SQL, PostgreSQL; MongoDB and cloud-based platforms (e.g. Snowflake, Databricks, Redshift).Semantic Layer: Design and implementation for governed reusable data views.Data Governance Tools: Collibra, Alation, Talend or equivalent.Expertise in ETL tools and processes (e.g., Apache NiFi, Talend ...

Report Modeller & Developer to join their Finance & Controlling MI team. As a Report Modeller & Developer, you'll design and develop data models, semantic layers, KPIs and reporting solutions that support operational reporting, business insight and strategic decision-making. You'll contribute to the migration from a legacy data warehouse … bring strong experience in data modelling, reporting, and analytics, with expert knowledge of SQL, Databricks, Azure Data Factory and Power BI, including DAX and semantic modelling. You'll have a solid understanding of Azure Data Lake architecture, ETL processes, dimensional modelling and modern reporting principles, with the ability ...

Senior Software Engineer (Backend/Full-Stack, AI-Native) About Us We're rethinking enterprise integration for developers and AI agents with a semantic layer: describe the data you need, and the platform gets it - fast, deterministic, secure, self-repairing, auditable, scalable. Already live with banks and financial ...

positively impact the education sector.This role sits within the Data & Insights department.Key ResponsibilitiesAct as a subject matter expert for Looker, advocating best practices in semantic modelling, governance, and self-service analyticsDesign, develop, and maintain LookML models, including views, explores, and dashboardsBuild scalable and reusable semantic layers to ensure … processesWhat will you need to succeed Strong experience with Looker and LookML developmentAdvanced SQL skills with several years of hands-on experienceExperience building scalable semantic layers in a BI tool (Looker preferred)Solid understanding of data modelling principles (e.g., star schema, dimensional modelling)Experience with ETL/ELT tools ...

patterns and support downstream analyticsContribute hands-on to the development of pipelines, models, and data platform components where requiredDefine how data is exposed through semantic layers and BI tools to ensure consistent metrics and definitionsSupport integration of data across systems, including engineering, test, and enterprise platformsIdentify and reduce fragmentation … data modelling techniques (e.g. dimensional modelling, normalisation, time-series considerations)Familiarity with both structured enterprise data and high-volume time-series data environmentsExperience defining semantic layers, metrics, and data structures for analytics and reportingAbility to balance long-term architectural integrity with short-term delivery needsStrong stakeholder engagement skills, with ...

Align product strategy with business value, regulatory needs, and enterprise capabilities.Enterprise Data Product Ownership: Own and evolve end-to-end data products, including datasets, semantic layers, APIs, and AI-enabled capabilities; Ensure products are scalable, reusable, governed, and aligned to enterprise standards; Drive transition from reporting and pipelines … drive product-led transformation.Preferred Qualifications Experience in sustainability, supply chain, or regulated industries.Familiarity with Qlik, Power BI, or similar tools.Experience working with APIs, semantic layers, and modern data architectures.Exposure to Danaher Business System (DBS) or similar continuous improvement frameworks.Join our winning team today. Together, we’ll accelerate the real ...

future of AI-enabled analytics. Key Responsibilities Design and scale enterprise BI capabilities using Looker and Looker Gemini (GenBI) Develop and optimise LookML models, semantic layers and dashboards Build scalable, reusable BI solutions that enable self-service analytics Work with large, complex datasets to deliver meaningful business insights Drive … solutions within enterprise environments Experience working with cloud data platforms Excellent stakeholder management and communication skills Nice to have: Financial Services experience Experience designing semantic layers and enterprise BI models Passion for AI, GenBI and the future of analytics Deadline for applications is Thursday 6th August at 10:00am. ...

while integrating people, AI agents and business processes across customer, employee and operational experiences.Shape enterprise AI and data foundations, including AI-ready data platforms, semantic layers, data products and trusted knowledge assets, alongside architectures that enable AI agents to securely interact with enterprise systems and processes.Establish responsible … major enterprise AI ecosystems such as OpenAI, Google, Anthropic and Microsoft.Experience shaping enterprise AI architectures and AI-ready data foundations, including cloud data platforms, semantic layers, data products, AI evaluation, security, governance and responsible AI.Significant consulting or senior client-facing experience, with the credibility to advise executive ...

lead the development of trusted data foundations that make AI delivery faster, safer and easier to scale. Designing 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 Shaping agentic architectures and engineering … human decision-makers, while guiding 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: Significant experience in consulting or senior client-facing roles, acting ...