12 of 12 Semantic Layer Jobs in the UK excluding London

Data Engineering, Analytics Engineering, and Data Product disciplines. This role will sit firmly in the Analytics Engineering function, focused on modelling and building the semantic layer that powers consistent, reliable insights across the company’s BI and data science platforms. This role will focus on the “middle layer", designing dimensional models, building reusable dbt pipelines, and ensuring the semantic layer meets the needs of Power BI, Looker, and data science teams. There’s also the opportunity to stretch into data product work, partnering with stakeholders to understand and translate business requirements into robust data models. … Key Responsibilities: Build and maintain well-structured, scalable data models using dbt and Kimball/Medallion architecture. Develop and own the semantic layer, shifting calculations and business logic out of BI tools and into the model layer to drive consistency across Looker, Power BI, and other downstream More ❯

BI that incorporates business users into the design process and focuses on generating the data models, database objects, data integration mappings and front-end semantic layers directly from the business user input Overall responsibility for management, prioritisation, and delivery of data-driven initiatives within the organisation. Recognise and assist More ❯

Nice to have: The ideal candidate will have experience using Azure Synapse, Azure Data Factory or MS Fabric to perform ETL tasks and manage semantic layers Commercial awareness, ideally within the holiday lettings or travel and tourism sectors Experience in an e-Commerce environment working with website/mobile More ❯

Experience partnering with distributed teams to enhance data architecture and streamline pipeline efficiency Experience creating and contributing to key data architecture artefacts, including ERDs, semantic layer designs, data flow documentation, API specs and metadata management Essential Strong commercial awareness with the ability to assess supplier technical proposals and More ❯

Experience partnering with distributed teams to enhance data architecture and streamline pipeline efficiency Experience creating and contributing to key data architecture artefacts, including ERDs, semantic layer designs, data flow documentation, API specs and metadata management Essential Strong commercial awareness with the ability to assess supplier technical proposals and More ❯

complex data modelling experience (using Fabric/Azure) in bringing together multiple data sources (including ERPs) and tables to create the data model/semantic layers Experience of complex app/DWH development and support using Microsoft Azure/Power BI. Experience of analysing and diagnosing complex data issues More ❯

Improve data quality and reliability Promote a data-driven culture within the organization Enhance data governance through principles and documentation (Flow Diagram, Data Dictionary, Semantic Layers) Monitor data workflows, set SLIs, and configure alerts for data quality issues Skills, Knowledge, and Experience Essential At least 1 year of data More ❯

align with an established data model and adhere to agreed design principles. Knowledge of using different data architecture layers (i.e. staging, integration, presentation and semantic layers) in the production of analytics and dashboard creation. Database administration experience gained within a busy digital operations department. Knowledge of NHS data definitions More ❯

as well as within a team Works directly with end-users or a projects team to translate business requirements into technical specifications to drive Semantic layer and report Prioritize technical issue resolution. Requirement gathering & understanding, effort estimation, technical design, project planning and monitoring Required to review the day More ❯

and data ingestion—while keeping security front of mind. Key Responsibilities Build and maintain our Vue 3 platform plus supporting APIs, microservices, database and semantic layers. Write clean, well‐tested code and review peers’ work. Day to day operation of systems, including availability, security and data integrity Collaborate daily More ❯

like SSRS, Power BI, QlikView etc. Work with the reporting architect to influence the design of the base data model as well as the semantic layer Cater communication around complex technical problems and solutions to audiences ranging from business users to data and technology teams About You Advanced More ❯

open-source frameworks. Implement modern DataOps and MLOps practices, including CI/CD pipelines and monitoring. Establish and maintain reusable enterprise data models and semantic layers for self-service analytics. Mentor and develop a high-performing engineering team. Collaborate with stakeholders to embed insight and AI in product delivery … and business decision-making. About You: Deep expertise in data engineering, data pipelines, and semantic models. Hands-on experience building data platforms on Microsoft Azure (Data Factory, Synapse, Databricks, Purview). Skilled in deploying machine learning models and generative AI applications in production. Strong programming skills in Python, SQL More ❯