1 to 25 of 30 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 ...

hands-on technical role that sits at the intersection of data engineering, business intelligence, and artificial intelligence. You'll work across gold layer models, semantic models and AI-ready data products in Microsoft Azure Fabric — and you'll actively use LLMs, machine learning, and generative AI both … tools in your own workflow and as capabilities you enable for the rest of the business. The quality of your dimensional and semantic models determines the quality of every AI output, every dashboard, and every business decision that flows from RES's data platform.What You'll DoDesign and build ...

hands-on technical role that sits at the intersection of data engineering, business intelligence, and artificial intelligence. You'll work across gold layer models, semantic models and AI-ready data products in Microsoft Azure Fabric — and you'll actively use LLMs, machine learning, and generative AI both … tools in your own workflow and as capabilities you enable for the rest of the business. The quality of your dimensional and semantic models determines the quality of every AI output, every dashboard, and every business decision that flows from RES's data platform.What You'll DoDesign and build ...

hands-on technical role that sits at the intersection of data engineering, business intelligence, and artificial intelligence. You'll work across gold layer models, semantic models and AI-ready data products in Microsoft Azure Fabric — and you'll actively use LLMs, machine learning, and generative AI both … tools in your own workflow and as capabilities you enable for the rest of the business. The quality of your dimensional and semantic models determines the quality of every AI output, every dashboard, and every business decision that flows from RES's data platform.What You'll DoDesign and build ...

will work closely with Finance, MI, Data Governance, IT and wider business stakeholders to translate business requirements and user stories into robust data models, semantic layers, calculations, measures, KPIs and reporting outputs. The role will support operational interfaces, aggregated data files, regulatory and operational reporting, and analytical use cases.We … landscape.Support the migration of relevant data sources and associated Cognos reports from the existing Data Warehouse to the new Azure Data Lake.Create and maintain semantic layers that enable business users and data analysts to consume data consistently and efficiently.Work with Data Governance to define, document and manage common data ...

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 ...

/star schema) for analytics and reporting Provide technical guidance and support to BI Developers during delivery (non-managerial) Contribute to Power BI/semantic layer design to support enterprise reporting Support integration of data from multiple SaaS and third-party systems Ensure best practices across data quality … desirable) Strong background in data warehousing and BI environments Excellent dimensional modelling (Kimball) experience Experience working closely with BI/reporting teams (Power BI, semantic models, DAX) Confident working across end-to-end data pipelines and integration patterns Strong SQL skills with experience optimising queries and datasets Comfortable guiding ...

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 ...

related to data management. Design data structures that support reporting, dashboards, predictive analytics, and AI initiatives, including the support and design of a Universal Semantic Layer. Collaborate with Data Engineers, Data Analysts, and Business Intelligence teams to optimize data accessibility and usability. Support self-service analytics capabilities through well ...

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 ...

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 ...

Partitioning and storage strategies Performance tuning across multiple data systems Nice to have - Experience with Apache Airflow or similar orchestration tools Experience with Cube Semantic Layer Experience with ClickHouse at scale (schema design, query optimization) Experience with financial or credit data systems Familiarity with data quality frameworks ...

Partitioning and storage strategies Performance tuning across multiple data systems Nice to have - Experience with Apache Airflow or similar orchestration tools Experience with Cube Semantic Layer Experience with ClickHouse at scale (schema design, query optimization) Experience with financial or credit data systems Familiarity with data quality frameworks ...

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 ...

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 ...

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 ...

data architecture across discovery, development, regulatory and operations. You will define the City Plan, establish enterprise data models and promote data mesh, data products, semantic layers and knowledge graphs to accelerate insights. You will collaborate with scientists, engineers and product teams to ensure compliance, scalability and secure data flows. ...

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 ...

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 ...

agentic AI; one substrate, two consumption modes. This role makes the data side of that promise real, meaning every certified data product carries a semantic definition, a data contract, policy and entitlement metadata including agent identity, lineage and observability, and a certification tier. The role operates on a core … data plane compounds in richness with every interaction rather than depending on manual annotation at enterprise scale. Responsible for Certified, versioned data products and semantic models, built in partnership with domain owners and stewards, with certification tiers that agents and BI consumers can both trust. The Asset Registry, lineage ...

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. ...