1 to 25 of 27 Semantic Layer Jobs in the UK

cost Microsoft Fabric and Platform Architecture Architect solutions on Microsoft Fabric at platform and solution level Define appropriate use of Lakehouse Warehouse OneLake and semantic models Set standards for data pipelines notebooks and orchestration patterns Define medallion layer responsibilities and data contracts between layers Govern Power BI semantic … reference data management and issue management Ensure MDM integration into analytical and operational use cases Business Intelligence and Analytics Enablement Define enterprise BI and semantic layer architecture Set standards for KPI metric definition and reuse across the organisation Enable advanced analytics and data science consumption from curated layers ...

into production-ready AI solutions. Youll shape intelligent agents, craft next-generation conversational experiences using Microsoft Copilot and Databricks Mosaic AI, and architect the Semantic Layer that ensures our models deliver accurate, trusted insights every time. If youre ready to take ownership of an organisations AI futureand build … reason over proprietary SMS documents and data. Integrate AI agents with enterprise systems (Dynamics 365, SharePoint, etc.) via APIs and Power Automate connectors. Semantic Modelling & Databricks Genie Curation Own the creation and maintenance of Databricks Genie Spaces. This involves translating complex database schemas into business-friendly semantic models. ...

development and consumption. Drive cultural shift towards self service analytics while maintaining governance and control. Design and lead the creation of a certified, reusable semantic layer/data marketplace in Azure. Partner with data engineering and modelling teams to deliver business-ready datasets aligned to analytics use cases. … Power BI. Perform deep analysis of existing Tableau reports, calculations, parameters, filters, and visual interactions. Translate Tableau logic into Power BI (DAX, Power Query, semantic models) while improving usability and performance. Rationalize reports to eliminate redundancy and improve insight quality. Work closely with business stakeholders to understand reporting needs ...

Overview We are seeking a Senior Data Modelling Specialist to take ownership of enterprise-level data models and semantic design within a complex, multi-domain data environment. This role is pivotal in bringing clarity, structure and consistency to how data is defined, modelled and consumed organisation-wide. Please note … standards. Design and maintain: Conceptual, Logical and Physical Data Models. Entity Relationship Diagrams (ERDs). Common/canonical data models. Define and govern the semantic layer underpinning reporting and analytics. Act as the modelling authority across multiple business domains. Translate complex business concepts into clear, reusable data structures. ...

exciting short-term opportunity. What You'll Do: Transform raw data into structured, reliable datasets for BI, reporting, and advanced analytics. Build semantic layers and curated data products for business users. Collaborate with stakeholders to translate requirements into scalable data solutions. Ensure data quality, governance, and consistency across platforms. ...

DABs) Performance and cost optimisation in Databricks, including cluster policies, autoscaling, Photon/serverless, and Delta table optimisation (partitioning, Z-Ordering, OPTIMIZE/VACUUM) Semantic layer and metrics engineering experience: Designing and maintaining metrics views/semantic models Defining consistent business metrics for reuse Supporting self-service ...

such were aware that finding a single individual covering every area of expertise is unlikely. However, they idea candidate would have: Strong knowledge of semantic layer design and optimization (e.g., LookML, dbt, or similar frameworks). Hands-on experience integrating and fine-tuning Large Language Models (LLMs ...

with React Server Components Shadcn UI, Radix UI & Tailwind CSS - Utility-first CSS framework Data BigQuery - Cloud data warehouse Dataform - SQL transformation framework Cube.js - Semantic layer/analytics API Superset - Presentation layer Algolia/Vertex AI Search - Search PostgreSQL - App data Infrastructure & DevOps Google Cloud Platform ...

using tools such as SQL, Power BI, Databricks Skills & Experience: Strong SQL, Power BI and financial data modelling Experience working with enterprise data models, semantic layers, or governned data domains Proven experience partnering with senior finance and business stakeholders Strong communications skills with the ability to influence decisions ...

business opportunities into production-ready AI solutions. You will shape intelligent agents, craft next-generation conversational experiences using modern AI tooling, and architect a semantic layer that ensures models deliver accurate, trusted insights every time. If you're ready to take ownership of an organisation's AI future … reason over proprietary documents and data Integrate AI agents with enterprise systems (e.g. CRM, collaboration tools, operational platforms) via APIs and automation connectors Semantic Modelling & AI Workspace Curation Own the creation and maintenance of AI semantic workspaces, translating complex database schemas into business-friendly models Define and govern ...

Microsoft Azure data platform Providing architectural oversight across Databricks, Fabric, data pipelines, and warehousing Taking full ownership of Power BI and the semantic layer (models, DAX, performance, governance) Defining standards for data modelling, quality, security, and cost efficiency Managing and mentoring senior data engineers and BI specialists Working … Microsoft Fabric (or a strong interest in leading its adoption) Advanced SQL and data modelling skills (dimensional/star schemas) Deep Power BI expertise (semantic models, DAX, RLS, performance tuning) Experience setting technical direction and leading delivery The confidence to challenge requirements and design for the long term ...

/catalogue entries to ensure critical datasets have clear ownership, lineage, and business semantics. Support Agile Teams in applying consistent data modelling practices and semantic layer alignment. Data Quality & Controls Translate EDM policies into domain-specific rules and acceptance criteria. Partner with delivery teams to embed automated data … Banking domains, including products, processes, and regulatory requirements. Advanced data modelling expertise, including: Designing conceptual, logical, and physical models for complex financial domains. Applying semantic modelling for BI and analytics. Knowledge of normalization, denormalization, and performance optimization. Hands-on experience with modelling tools such as ERwin, PowerDesigner, or equivalent. ...

/catalogue entries to ensure critical datasets have clear ownership, lineage, and business semantics. Support Agile Teams in applying consistent data modelling practices and semantic layer alignment. Data Quality & Controls Translate EDM policies into domain-specific rules and acceptance criteria. Partner with delivery teams to embed automated data … Banking domains, including products, processes, and regulatory requirements. Advanced data modelling expertise, including: Designing conceptual, logical, and physical models for complex financial domains. Applying semantic modelling for BI and analytics. Knowledge of normalization, denormalization, and performance optimization. Hands-on experience with modelling tools such as ERwin, PowerDesigner, or equivalent. ...

quality, transformation, security, batch management, monitoring, alerting, and cost control are efficient. Design and help build the data platform – ensuring data is processed through semantic layers and can be modelled effectively. Lead changes across the organisation, adopting a decentralised design. Role: Lead Data Engineer Salary ...

source of truth for reporting, analytics, and regulatory insight. They require a Principal Data Modeler to lead the design and governance of the business semantic layer underpinning this platform. This is a senior, hands-on role focused on defining standards, driving consistency, and ensuring data models accurately reflect … authority for data modeling decisions across the programme. The role: Lead the design of enterprise-grade data models within Snowflake Define and govern business semantic models supporting BI, analytics, and regulatory reporting Establish and enforce modeling standards, naming conventions, and best practices Ensure consistent KPI and metric definitions across ...

dashboards and chatbots, Lightdash allows data teams to use AI to create, update, and maintain analytics using code. With native dbt integration, a governed semantic layer, and the Lightdash MCP server, teams can build entire BI layers from their terminal, IDE, or CI workflows. Lightdash is built ...

analytics-ready data products that power business intelligence, reporting, and advanced analytics initiatives across the enterprise. You will play a key role in building semantic layers, defining KPIs, and ensuring data quality and governance across a modern cloud data platform. Key Responsibilities Design and implement scalable data models within … Databricks. Transform raw datasets into curated, analytics-ready data products using Delta Lake and Spark. Build and maintain semantic layers for business reporting. Translate stakeholder requirements into technical specifications. Define KPIs and controlled vocabulary across data products. Own reconciliation logic and ensure data consistency across teams. Optimise SQL queries ...

SLAs/SLOs, testing, data contracts). Optimise storage and compute performance. Deploy pipelines using CI/CD and IaC. Deliver curated datasets and semantic layers for BI, analytics, and ML. Support ML feature engineering and model delivery. Define scalable data architecture patterns and integration designs (ingestion, storage, transformation … Pipelines, modernising SSIS workloads to ADF/SSIS IR). (Desirable). Automation and scripting skills (PowerShell or Python). Experience supporting Power BI, semantic models, or SSAS Tabular (Desirable). Familiarity with SQL monitoring and observability tools (Redgate, SentryOne, custom telemetry). (Desirable). Experience with metadata management ...

action, comfortable operating in ambiguity and creating structure. You’ll bring: Proven leadership of multi-disciplinary data teams Experience delivering modern data platforms and semantic layers A track record of turning business demand into tangible data outputs Strong delivery discipline, clear communication and technical credibility Confidence to challenge constructively ...

bias to action, comfortable operating in ambiguity and creating structure. Youllbring: Proven leadership of multi-disciplinary data teams Experience delivering modern data platforms and semantic layers A track recordof turning business demand into tangible data outputs Strong delivery discipline, clear communicationand technical credibility Confidence to challenge constructively and hold ...

London HQ per month Role Overview Lead the design and delivery of AI-native transformation initiatives for insurance clients, spanning agentic systems, retrieval architectures, semantic layers and decision intelligence click apply for full job details ...

working with a fast-growing, AI-native consulting business that is building production-grade data foundations to power modern AI systems - including knowledge graphs, semantic layers, retrieval systems, and agentic workflows. This role sits at the heart of that capability. It’s not a traditional reporting or BI data … years) Excellent Python and SQL skills, with hands-on pipeline ownership Experience working with cloud data platforms (AWS, Azure, or GCP) Exposure to semantic modelling, knowledge graphs, or ontology-aligned data (depth can vary, mindset matters most) Comfortable working in ambiguous, client-facing environments with high ownership ...

Looking for a role with real impact rather than endless firefighting? You will design, build and maintain ETL and ELT pipelines , lakehouse structures and semantic models using Microsoft Fabric’s Dataflows Gen2, Notebooks, Spark SQL and Python. Your work will ensure data is accessible, trusted and well governed across … across data quality, lineage, observability and compliance. What you’ll be doing Building end‑to‑end data pipelines and Fabric‑based lakehouse solutions. Creating semantic layers using star schema modelling and DAX. Embedding monitoring, lineage and data quality into pipelines. Integrating data from APIs, CRM/ERP systems ...

growth! ROLES AND RESPONSIBILITIES: The Analytics Engineer will: -Design and build tested and documented data models in dbt -Optimise the build of the transformation layer for scalability -Work with multiple teams and stakeholders, including Data Analysts and Data Scientists to understand needs and turn them into solutions -Maintain data … Analytics Engineering or a related field -Technical experience with advanced modelling techniques in dbt -Understanding of ETL/ELT processes -Experience with BI semantic layers and data visualisation tools -Understanding of dimensional modelling, analytics and data warehousing principles best practices -Clear communication skills and ability to work with multiple ...

London HQ per month Role Overview Lead the design and delivery of AI-native transformation initiatives for insurance clients, spanning agentic systems, retrieval architectures, semantic layers and decision intelligence. This is a senior, hands-on consulting role combining deep AI engineering expertise with strong client-facing presence, shaping both … human-in-the-loop controls Retrieval and vector-based systems over policy wordings, endorsements, claims files, loss runs, underwriting guidelines and regulatory documentation Semantic layers, ontologies and knowledge models aligned to insurance data structures, coverage logic and risk taxonomies Integrations with core insurance platforms (claims systems, PAS, underwriting workbenches ...