12 of 12 Semantic Layer Jobs in the UK excluding London

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. ...

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. ...

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 ...

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 ...

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) for conversational analytics. ...

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 ...

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 ...

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 ...