1 to 25 of 52 Semantic Layer Jobs in the UK excluding London

turns customer goals into technical valid, commercially credible designs covering: Data Ingestion and Integration Storage and management Processing and Transformation Design of the Semantic Layer Data Sharing Delivery of AI-ready data Governance, security, observability and cost are designed in at every stage. They work closely with Solution …/ELT, transformation and orchestration approaches suited to the customer's scale, skills and operating model. Data Storage & Management - Design the logical storage layer, including open table formats, database selection, partitioning, retention and lifecycle management. Work with Hybrid Platforms architects, who own physical storage and infrastructure. Data Governance, Discovery ...

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 ...

Modelling), you'll be a specialist at the heart of our data engineering community, focused squarely on the craft of dimensional modelling and the semantic layer that turns raw data into a source of truth our teams rely on every day. From there, you'll spend your time … data models, getting the grain right first and building for the way the business will grow. Build the dbt layer. Craft the transformation and semantic layer in dbt that turns raw source data into trusted, well-documented business truth. Champion quality. Make data quality, testing and documentation first ...

Modelling)**, you'll be a specialist at the heart of our data engineering community, focused squarely on the craft of dimensional modelling and the semantic layer that turns raw data into a source of truth our teams rely on every day.**But the best models don't start … data models, getting the grain right first and building for the way the business will grow.**Build the dbt layer.** Craft the transformation and semantic layer in dbt that turns raw source data into trusted, well-documented business truth.**Champion quality.** Make data quality, testing and documentation first ...

change the status quo, we'll help you make your moment. Join Team Purple. Join IFS. Job Description Build and operate the interface, semantic layer and controls that let AI agents work inside IFS software safely. Key responsibilities Design and build MCP servers (Model Context Protocol, the emerging … backward compatibility as first-class design problems. Build the write path that lets an agent safely change a customer’s operational data. Build the semantic layer: an ontology and knowledge graph over the product, generated from what the platform already knows about itself and then curated industry ...

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 ...

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: Find your happy ...

Strategy. The Data Scientist will strengthen how the Foundation uses Power BI, data science and AI to support better decisions, creating trusted reports, dashboards, semantic models and reusable datasets that help establish one version of the truth. Acting as a Data Services business partner across the Foundation, the postholder … with teams to understand analytical needs, defining requirements and translating business questions into clear analytical approaches. Design and develop trusted Power BI reports, dashboards, semantic models and reusable datasets, including star schemas, DAX measures, KPIs, calculation logic and documented business rules. Introduce AI in a practical, responsible and well ...

data platform aligned to the business and product strategy. Own and evolve the data architecture for Quantios Insights, including data ingestion patterns, lakehouse design, semantic modelling, and analytical layers. Define architectural guardrails and reference patterns for Databricks to support customer deployment flexibility. Contribute to the long-term roadmap … domain-driven canonical data models for all Quantios products and cross-product datasets. Architect medallion/lakehouse models (bronze, silver, gold) using Databricks. Ensure semantic models, KPIs, and analytical structures are consistent, scalable, and aligned with business requirements, and serve whichever BI and application layers consume them. Guide Data ...

established, and ready for someone to take to the next level. You’ll be the go‐to expert for our lakehouse/warehouse architecture, semantic models, and the pipelines that keep data flowing reliably across the business. This is a hands‐on senior individual contributor role … repository, including code quality, branching strategy, CI/CD, and release governance. Define and enforce best practices for data modelling, ingestion, transformation, orchestration, and semantic layer design. Drive platform reliability, performance, security, and cost optimisation across lakehouse/warehouse workloads. Act as technical lead for solution design, incident ...

assessment, roadmap, cutover, parallel-run validation, and decommission plans.Govern data modeling standards and patterns (dimensional star/snowflake, Data Vault, 3NF, wide-table designs), semantic layers (Snowflake semantic views, Horizon Context, BI semantic models), and data contracts for analytical and operational domains.Establish ELT/ETL and streaming … tuning (clustering keys, Search Optimization, materialized views, result caching, adaptive compute).Enable AI- and GenAI-ready architectures on Snowflake Cortex AI, agentic governance, and semantic layers for AI agents ensuring a governed, AI-ready data foundation.Partner with business, product, analytics, and engineering leaders to prioritize roadmaps and translate requirements ...

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 ...

doing Define and own data architecture patterns, standards and target state designs for our Microsoft Fabric platform, ensuring consistency across ingestion, storage, semantic modelling and consumption layers. Develop next‐generation platform capabilities, including real‐time ingestion, AI‐driven insights and API‐led integration Lead the design and governance … enterprise and domain data models, from conceptual and logical models through to physical implementations optimised for Fabric (Lakehouse, Warehouse and semantic models). Partner with data engineers, analytics engineers and platform teams to ensure data models are correctly implemented, performant and aligned to architectural intent. Shape and assure ...

high quality, compliant code You’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 ...

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 ...

management design patterns. Ideally will have experience in creating Genie Agents, configuring data assets for Natural Language Querying and using Metric Views to create semantic layers. Experience of programming languages: SQL, python & pySpark etc. Experience of development practices: the use of versioning tools such as GitHub, work tracking tools ...

performance-tuning skills. Experience following coding standards and performing peer code reviews. Data Modelling & Insight: Strong capability in designing intuitive, scalable data models and semantic layers aligned to business meaning; skilled in advanced data profiling, anomaly detection, and statistical reasoning to ensure data integrity. Collaboration: Able to influence senior ...

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 ...

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 ...

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 ...

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 ...