1 to 25 of 73 Semantic Layer Jobs in the UK excluding London

their product strategy. With a strong Data Engineering function already in place, they're looking for a Senior Business Intelligence Developer to own the semantic layer that sits between raw data and the insights, dashboards and AI tools relied upon across the business. What You will Be Doing … Semantic Layer Design, build and maintain governed semantic models, datasets and metric layers Create reusable business‐ready data models built on Kimball and star‐schema principles Ensure data definitions are consistent, trusted and scalable across reporting, analytics and AI use cases Develop BI Solutions Build and optimise ...

Senior Director, Semantic Platform EnablementWe're building a connected, end-to-end Enterprise AI engine - uniting data foundations, AI technology, process reinvention, and business-facing AI to accelerate results across the whole value chain. Success depends on being outstanding connectors: you'll actively harness existing capabilities, celebrate and promote … have the platform (and sponsorship) to make it real!Introduction to roleThis Senior Director role leads the design and enterprise enablement of AstraZeneca’s semantic platform so data is consistently understood, reliably connected, and reusable by both human and AI consumers. The position establishes the capabilities needed to translate ...

scaling phase. You will lead the migration from legacy reporting and metric tooling into a governed Microsoft Fabric platform, keep business-critical BI and semantic models reliable, improve data pipeline stability and monitoring, support CRM data integration, apply AI and automation to improve data engineering, reporting and analytics … provide senior technical leadership for data engineering delivery. Core responsibilities Lead hands-on Microsoft Fabric architecture across lakehouse, warehouse, notebooks, semantic models, Git-backed delivery and production governance. Drive migration from legacy reporting and metric tooling into a governed Fabric semantic layer, including parity testing, stakeholder sign ...

trusted and curated layers of the data ecosystem, ensuring data products are reliable, governed, reusable and fit for purpose. Data Modelling and Semantic Enablement: Define and govern data modelling standards and semantic layer design principles that enable consistent, discoverable and trusted data products, supporting self-service analytics … such as Databricks on Azure, including data lakehouse architectures, data modelling frameworks and data quality controls. Deep understanding of analytics architecture, data modelling methodologies, semantic layer design, and approaches for delivering discoverable, governed and reusable data products. Expertise in ETL and ELT frameworks for large-scale batch ...

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 … 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 ...

adoption of emerging BI technologies, tools, and frameworks to enhance capability and deliver scalable, innovative data solutions. Oversee data modelling, metadata management, and semantic layer design, ensuring the delivery of trusted, reusable, and high-performing data assets that enable consistent analytics and reporting. Provide technical leadership across complex … pipelines, automated testing, and monitoring. Experience in defining and tracking technical KPIs (e.g., query performance, data refresh rates). Expertise in data modelling, semantic layer design, and metadata management to maintain consistency and performance. Applied understanding of data governance, privacy, and compliance frameworks (e.g., General Data Protection Regulation ...

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 … 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 ...

similar) and experience integrating with proprietary in-house metadata and event models. Proven design of federated (hub-and-spoke) metadata architectures: a central layer for identity, hierarchy and links, domain-level catalogues with rich local detail, and a clear contract between the two. Practical experience with data governance operating … models: ownership and stewardship roles, sensitivity classification, metadata quality measurement. Semantic layer design: business glossaries and concept registries, resolution of term conflicts between departments, entity resolution, knowledge graph modelling; design-level knowledge of graph databases. Strong consulting and client-facing skills: leading working sessions, defending design decisions ...

data governance maturity, providing actionable insights and recommendations to continuously elevate data management practices. Support governance of prioritized metrics and KPIs within the enterprise semantic layer, partnering with platform and analytics teams to ensure metric definitions align to governed data domains and standard business terminology. Partner with Privacy … e.g., Alation, Ataccama, Collibra) and data cataloging. Familiarity with cloud data platforms (e.g., Snowflake) and enterprise software applications relevant to governance tooling. Familiarity with semantic layer or metrics governance concepts (metric definitions, KPI standardization) preferred. Location Manchester, United Kingdom The #TeamGBT Experience Work and life: Flexible benefits ...

governance effectiveness, and data governance maturity Provide actionable insights and recommendations to improve data management practices Govern prioritized enterprise metrics and KPIs within the semantic layer Partner with Privacy and Information Security teams on data handling, access, and protection requirements Support internal and external audit readiness through evidence … Collibra Experience with data cataloging Familiarity with cloud data platforms such as Snowflake Familiarity with enterprise software applications relevant to governance tooling Familiarity with semantic layer or metrics governance concepts is preferred Core Competencies Demonstrates expertise in data governance frameworks, data product management, and accountability models, with ...

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 ...

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. … 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 ...

resolution, improving client experience and driving operational efficiency Demonstrate control environment improvements and reduction in toil through common tooling and frameworks; uplift the metadata (semantic layer) of existing data to support AI and Natural Language Query (NLQ) usage, accelerate adoption of Mesh data architecture, reduce consumer friction ...

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 ...

security and governance at storage and reporting layers. Oversee batch and incremental data loads, tuning performance to meet SLAs. Reporting & Analytics Develop Power BI semantic layers and maintain Power BI reports, including paginated and interactive dashboards. Support the migration of Cognos solutions into Power BI. Support self‐service analytics … within enterprise analytics platforms. Strong proficiency in Azure Data Factory, Synapse, and cloud data services. Expert‐level skills in data modelling, ETL processes, and semantic layer design. Advanced programming capabilities in SQL (T‐SQL/Spark SQL), Python, and PySpark. Hands‐on experience with Power BI (Desktop ...

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 ...

resolution, improving client experience and driving operational efficiency Demonstrate control environment improvements and reduction in toil through common tooling and frameworks; uplift the metadata (semantic layer) of existing data to support AI and Natural Language Query (NLQ) usage, accelerate adoption of Mesh data architecture, reduce consumer friction ...

business domains and platforms Visualization, BI & Data Product Delivery Partner with analytics and product teams to deliver high‐quality datasets, dashboards, and visualization‐ready semantic layers Translate business requirements into scalable data models and consumption patterns for operational and executive insights Support adoption of data products by ensuring performance ...

grade machine learning or generative AI solutions. Experience with agentic development patterns, including tool use, workflow orchestration, and evaluation of agent behavior. Experience with semantic layers and ontology design, including defining consistent business concepts, relationships, and metadata for analytics and AI use cases. Relevant AWS AI certifications, such ...

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 ...

work across the full data and BI lifecycle, owning complex solutions from initial stakeholder engagement and requirements gathering through to pipeline development, data modelling, semantic layers and Power BI delivery. You'll have the opportunity to: ·Design and build production-grade pipelines using Azure Databricks, Python, PySpark ...

Doing Business Intelligence & Reporting Develop engaging Power BI dashboards and reporting solutions for a variety of business functions. Create and manage semantic layers, datasets and reusable reporting assets. Build advanced DAX measures, calculations and business logic. Improve dashboard performance, scalability and end-user experience. Apply data security controls ...

complex business problems through data, from understanding requirements to delivering analytical solutions . Translate business needs into clear and scalable data models and our semantic layer , ensuring technical solutions align with our long-term platform design and methodologies . Build and maintain robust data transformations and models ...