1 to 25 of 104 Semantic Layer Jobs in England

already know. Where You'll Fit Within the TeamThe AI Engineering Lead, Evals and Systems Integration, owns the evaluation framework and systems integration layer across the entire Growth AI Performance System platform. This is a cross-cutting role: you are not evaluating a single agent or a single module … coherence, quality, and reliability of the full system: from the data ontology layer through the Agentic Core to the three product modules that clients use. Your work is the quality gate that determines what is ready to ship and what is not. You will work directly across three teams ...

growing brand runs on. You will own what happens to data once it lands in our data warehouse, including transformation in Dataform, modelling, the semantic layer, and the reporting the business runs on. This is one of two engineering roles we are hiring into the Business Intelligence team. … behind it reflect how the business wants to measure itself, and every metric means one thing. What you will be doing Own the transformation layer in Dataform end to end: the models, dependency graph, tests and documentation between raw BigQuery data and everything the business sees. Build the semantic ...

Great Lakes Data & BI team, responsible for building and maintaining data products within the Azure Databricks lakehouse, including Silver and Gold table transformations and semantic layer outputs, and for diagnosing and resolving data issues arising from the data intake platform. Reporting to the Data & BI Lead, the successful … with medallion architecture, and comfortable contributing technical input into modelling discussions alongside IT Experience with Databricks, including Delta Lake; familiarity with Unity Catalog and semantic layer/consumption-layer tooling is a plus (Power BI & Databricks Dashboards) Power BI experience, able to build and maintain dashboards ...

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 ...

Knowledge Graph solution scope that transforms data architecture for our most strategic and complex clients. Own the design, development, and implementation of AI and semantic solutions across the program. Partner with project leaders, delivery leads, and senior client stakeholders to create stand-out, graph-powered offerings. Develop trusted-advisor … relationships with senior client stakeholders. Make and defend the business case for the semantic layer solution at the executive level. Lead our client sales and pre-sales efforts and shape data transformation programs. Drive the practice's thought leadership, innovation, and asset development on trends and agentic technologies ...

Knowledge Graph solution scope that transforms data architecture for our most strategic and complex clients. Own the design, development, and implementation of AI and semantic solutions across the program. Partner with project leaders, delivery leads, and senior client stakeholders to create stand-out, graph-powered offerings. Develop trusted-advisor … relationships with senior client stakeholders. Make and defend the business case for the semantic layer solution at the executive level. Lead our client sales and pre-sales efforts and shape data transformation programs. Drive the practice's thought leadership, innovation, and asset development on trends and agentic technologies ...

Knowledge Graph solution scope that transforms data architecture for our most strategic and complex clients. Own the design, development, and implementation of AI and semantic solutions across the program. Partner with project leaders, delivery leads, and senior client stakeholders to create stand-out, graph-powered offerings. Develop trusted-advisor … relationships with senior client stakeholders. Make and defend the business case for the semantic layer solution at the executive level. Lead our client sales and pre-sales efforts and shape data transformation programs. Drive the practice's thought leadership, innovation, and asset development on trends and agentic technologies ...

ownership of our internal reporting tools and partner-facing data products, including OSP Insights. By establishing robust evaluation frameworks and aligning semantic architecture with business outcomes, you will ensure our global partners and internal stakeholders derive maximum value from certified operational data. Key Responsibilities: Define and execute the group … analytics, using Claude and Model Context Protocol (MCP) to enable self-serve access to certified data. Collaborate with Analytics Engineering to shape the unified semantic layer migration onto dbt MetricFlow. Establish evaluation frameworks, telemetry, and logging to rigorously assess AI accuracy, system performance, and metric trust. ...

Tableau access management and application management Experience working with enterprise data discovery, analytics, and BI software tools such as Tableau, PowerBI and others for semantic-layer-based data discovery. Experience in enabling the BI self service capability for the organisation Experience and knowledge of big data platforms ...

tooling to accelerate deliveryClear, consistent definitions of key business metricsImproved data reliability and fewer reporting discrepanciesWHAT YOU'LL OWNThe transformation layer (dbt) and semantic layer (Looker)Core business metrics and reporting definitionsData quality and testing frameworksBI best practices and documentation standardsWHAT'S IN IT FOR YOUHybrid working ...

based version control (GitHub or Bitbucket), pull requests and CI/CD.Experience integrating data from third-party APIs (e.g. Meta, LinkedIn, TikTok) Interest in semantic layer design and AI-enabled analytics (e.g. Conversational Analytics in Google Cloud).Canon Core Behaviours• Drive for results• Focus on the Customer• Take … systems; monitor pipelines, review code, resolve failed runs and data issues at the root cause, and collaborate with IT on any upstream changes required. Semantic Layers & AI-Enabled Self-Service: Build and maintain the semantic layers that allow Conversational Analytics agents in Google Cloud to interpret data correctly ...

migration from legacy data warehouse and reporting systems to a modern Azure Data Lake environment. You will design and develop scalable data models, semantic layers, calculations, KPIs and reporting solutions, working closely with Finance, Data Governance, IT and wider business stakeholders. Using technologies including Databricks, Azure Data Factory … this role, you will have strong experience with Databricks, Azure Data Factory and SQL, alongside a solid background in data modelling, schema design and semantic layer development. You will be confident developing Power BI dashboards and reports, with strong DAX knowledge and an understanding of Azure Data Lake ...

deploy secure, maintainable data models and transformations using modern data tools (e.g., SQL, Dataform) in Google Cloud Platform.Build, maintain, and govern the centralised semantic layer (e.g. LookML, or cloud data catalog metrics) to deliver consistent, trusted business definitions across all reporting platforms.Map enterprise domain ontologies into relational data … Engineer you will have experience of: Data Modelling: Proven experience building and maintaining data models using recognised patterns (e.g., Kimball, Inmon, dimensional modelling).Semantic Layer Architecture: Hands-on experience building and managing centralised semantic layers, metrics tiers, or business abstraction layers in modern data tools.Business Ontology & Domain Mapping ...

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 ...

Data Engineering experience, ideally 10+ years Hands-on experience with Microsoft Fabric and/or Azure data services Strong expertise in data modelling and semantic layer design Experience building data platforms end-to-end Proven ability to work across the full data lifecycle through to Power BI Strong ...

optimization. Experience with cloud data platforms (e.g., Snowflake, Azure Synapse, BigQuery, Databricks). Expertise in data modeling concepts: star/snowflake schemas, dimensional modeling,semantic layers, and performance tuning at scale. Experience with Python or R for data wrangling and exploratory analysis. Analytical & Business Acumen Strong ability to decompose ...

differentiated career path that is difficult to develop in a purely technology-focused role. Purpose of the roleResponsible for the finance data and ontology layer on which agentic solutions depend. Builds the entities, relationships, definitions, lineage and data contracts sourced from live ERP and EPM systems to a standard … that supports controlled and auditable agent behaviour. The role owns governed finance data products, semantic models and retrieval-ready data services that are secure, permission-aware, observable and suitable for AI, analytics and decision intelligence. ResponsibilitiesBuild and extend the finance ontology covering supplier, invoice, customer, receivable, journal, account, cost ...

differentiated career path that is difficult to develop in a purely technology-focused role. Purpose of the roleResponsible for the finance data and ontology layer on which agentic solutions depend. Builds the entities, relationships, definitions, lineage and data contracts sourced from live ERP and EPM systems to a standard … that supports controlled and auditable agent behaviour. The role owns governed finance data products, semantic models and retrieval-ready data services that are secure, permission-aware, observable and suitable for AI, analytics and decision intelligence. ResponsibilitiesBuild and extend the finance ontology covering supplier, invoice, customer, receivable, journal, account, cost ...

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 ...

ensure safe, high quality, compliant codeYou’ll coach and mentor Associate data engineers.You’ll create low to high complexity BI solutions including data mart, semantic layer, and reporting & visualisation solutions in recognised BI tools such as Power BI.Experience & knowledge:Requires experience of designing and building ...

spanning data engineering, analytics, machine learning, and Generative AI. Develop scalable lakehouse architectures using modern Databricks capabilities and governance frameworks. Define enterprise data models, semantic layers, security controls, and data governance standards. Architect ML, MLOps, and LLMOps platforms, including model deployment, monitoring, and AI governance. Facilitate client workshops ...

data processing architectures that support AI-driven analytics, recommendations, forecasting, and intelligent automation. Optimise cloud data platforms for AI scalability, including data lakehouse architectures, semantic layers, and high-performance data retrieval patterns. Stays current with Snowflake features, best practices, and industry trends in cloud data platforms. Performs additional related ...

experience working with some or all of the following technologies:Data Processing: Apache Spark/PySparkWorkflow Orchestration: Apache AirflowContainerisation: KubernetesCloud Platform: Microsoft AzureData APIs & Semantic Layer: CubeJSProgramming Languages: Python, SQLEssential Skills & ExperienceDegree in a STEM discipline, ideally Computer Science, Software Engineering, or a related field.Minimum of 5 years … modern data warehouse architectures.Experience designing and building scalable, production-grade data pipelines.Desirable ExperienceExperience working within cloud-native Azure environments.Knowledge of modern analytics platforms and semantic data layers.Previous mentoring or technical leadership experience.ApplyIf you’re a passionate Senior Data Engineer looking to work on complex data challenges and build impactful ...

following technologies: Data Processing: Apache Spark/PySpark Workflow Orchestration: Apache Airflow Containerisation: Kubernetes Cloud Platform: Microsoft Azure Data APIs & Semantic Layer: CubeJS Programming Languages: Python, SQL Essential Skills & Experience Degree in a STEM discipline, ideally Computer Science, Software Engineering, or a related field. Minimum of 5 years … Experience designing and building scalable, production-grade data pipelines. Desirable Experience Experience working within cloud-native Azure environments. Knowledge of modern analytics platforms and semantic data layers. Previous mentoring or technical leadership experience. Apply If you're a passionate Senior Data Engineer looking to work on complex data challenges ...

engagement, and the optimisation of existing reporting solutions. Key responsibilities include: Enhancing and maintaining existing Power BI dashboards and reporting solutions Developing and supporting semantic models and data layers that underpin reporting Translating business requirements into scalable reporting and data models Working closely with stakeholders to understand reporting needs … Skills & Experience You will bring strong commercial experience in: Power BI development across both front-end reporting and back-end modelling Data modelling and semantic layer design SQL for data querying and transformation DAX development and performance optimisation Stakeholder engagement and requirements gathering Communicating technical concepts ...