1 to 25 of 43 Semantic Layer Jobs in the UK excluding London

HSBC defines, organises and connects business terms across the Group. You’ll build high-quality glossaries, taxonomies and ontologies that create a shared semantic layer - so our data can be understood consistently and used by AI to answer questions across teams, faster and with more confidence.A move across … modelling expertise, standards, and governance to keep content high quality and reusable“Join the dots” across teams/domains to help build a shared semantic layer that supports cross-boundary understanding and consistencyContribute to ontology development (the layer between taxonomies) to enable AI to query and reason ...

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 ...

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 ...

resolution, improving client experience and driving operational efficiencyDemonstrate 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, and deliver ...

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 ...

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 efficiencyDemonstrate 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, and deliver ...

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 ...

trusted, accessible, and aligned with business objectives. Key Responsibilities: * Design and deliver scalable analytics and data engineering solutions. * Develop data models, transformation pipelines, and semantic layers. * Translate business requirements into robust, scalable data solutions. * Lead technical workshops and stakeholder discussions. * Drive data quality, testing, documentation, and governance standards. * Identify ...

initiatives. We need someone who can take a vague question from leadership, figure out the underlying business problem, model the data, build the semantic layer, and deliver self-serve insights that actually make sense. Your Impact Act as a "data domain holder" for 2-3 subject areas (e.g. … executive scorecards, dependency health, investment mix, or DORA performance) from raw data to final stakeholder presentation. Design, build, and document semantic layers that outlast you, abstracting complex data from tools like Jira and GitHub into simple, self-serve reporting. Contribute to the Engineering team with development tasks and test ...

technologies: Python, pandas and SQL in Jupyter notebooks for analysis dbt and Databricks data platform with Delta Lake Lightdash as our BI tool and semantic layer Streamlit for interactive data applications Airflow for orchestration Kubernetes for application deployment CI/CD with GitHub and CircleCI Infrastructure ...

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 ...

expertise with stakeholder management and consulting skills.Responsibilities include: Designing and delivering analytics solutions using Google Cloud, BigQuery, dbt and Looker Building scalable data models, semantic layers and analytics architectures Leading client workshops, requirements gathering sessions and technical discussions Advising stakeholders on analytics strategy, governance and best practice Managing multiple ...

that drive business decision-making. Rather than being tied to a single reporting tool, you'll focus on creating a robust data foundation, governed semantic models and self-service analytics capabilities that empower teams across the organisation. This is an opportunity to play a key role in shaping … files and other business systems Design and develop scalable ETL and ELT processes using modern data engineering tools and cloud platforms Create dimensional models, semantic layers and reusable datasets that provide consistent business metrics across the organisation Develop efficient SQL and transformation logic to support analytics, reporting and business ...

controlled through to completion. * Manage delivery of the end-to-end reporting pipeline from Salesforce into the Fabric-based data platform (ingestion, modelling/semantic layer alignment, refresh and reporting readiness). * Manage a CRM (e.g., Zoho) to Salesforce data migration including data mapping, cleansing, migration planning, cutover ...

Coaching analysts and BI developers on SQL, DAX, data modelling, visual design and engineering hygiene. Working closely with Data Engineering on changes to the semantic/curated layer and data marts. Delivering complex analytics work streams end-to-end; scoping, estimation, delivery, hand-over and post-implementation review. … insurance or finance environment. Advanced SQL, including query optimisation and working with the Azure data stack (Data Factory, Synapse/Fabric, SQL-based semantic layers). Advanced Power BI engineering skills: data modelling (star schemas), advanced DAX, Power Query/M, performance tuning and RLS, alongside sound engineering discipline ...

take ownership of the organisation's data architecture strategy, ensuring alignment with the wider data vision while defining and governing data models, standards and semantic layers across the business. Key responsibilities include: Designing and governing enterprise-wide data models across Bronze, Silver and Gold layers within a Medallion Architecture. … Creating scalable curated data models using dimensional modelling and Kimball methodologies. Defining semantic data layers, standards and governance practices that ensure consistency, quality and efficiency across the data platform. Managing logical and physical data models, metadata, business glossaries and data flows across the organisation. Partnering with Data Engineers, Analytics ...

take ownership of the organisation's data architecture strategy, ensuring alignment with the wider data vision while defining and governing data models, standards and semantic layers across the business. Key responsibilities include: Designing and governing enterprise-wide data models across Bronze, Silver and Gold layers within a Medallion Architecture. … Creating scalable curated data models using dimensional modelling and Kimball methodologies. Defining semantic data layers, standards and governance practices that ensure consistency, quality and efficiency across the data platform. Managing logical and physical data models, metadata, business glossaries and data flows across the organisation. Partnering with Data Engineers, Analytics ...

Responsibilities Lead delivery of the Microsoft Fabric/Power BI data platform Manage the Salesforce-to-Fabric reporting and data pipeline Coordinate ingestion, modelling, semantic-layer alignment and reporting readiness Lead CRM-to-Salesforce data migration planning and execution Own project plans, milestones, dependencies, RAID and decision logs ...

strategy and influence data governance at scale Involvement in a major cloud migration programme Exposure to emerging areas such as AI-enabled analytics and semantic layer development Clear progression within a structured framework How to Apply If you are an expert in Tableau, apply below ...

RESPONSIBILITIES: The Senior Analytics Engineering Consultant will: Design and deliver analytics solutions using Google Cloud, BigQuery, dbt and Looker Build scalable data models, semantic layers and modern reporting environments Lead client workshops, discovery sessions and requirements gathering activities Manage multiple client engagements and balance competing priorities Lead technical discussions ...

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. ...