19 of 19 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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Technical Stack & Requirements: AI/ML Stack: Amazon SageMaker, AWS Bedrock. Design Focus: Vector databases, knowledge graphs, and semantic layers. Databricks: Experience with Databricks and Databricks Genie is highly desirable. Core Mandate: Define the standards for "AI-ready" data curation and direct the integration of AI methodologies into existing … Experience and Financials business logic. Qualifications: 6-8+ years of experience. Strong background in AI/ML design and implementation. Ability to architect semantic layers and knowledge graphs. Experience with GitHub Actions for managing codebases. Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence ...

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. ...

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 ...

role requires 6-8+ years in AI/ML design, strong Python skills, and experience deploying AI on AWS. You will drive semantic layers, vector databases, and knowledge graphs while aligning with business logic and #J-18808-Ljbffr ...