21 of 21 Semantic Layer Jobs in the UK excluding London

growing brand runs on. You will own what happens to data once it lands in our data warehouse, including transformation in Dataform, modelling, the semantic layer, and the reporting the business runs on. This is one of two engineering roles we are hiring into the Business Intelligence team. … behind it reflect how the business wants to measure itself, and every metric means one thing. What you will be doing Own the transformation layer in Dataform end to end: the models, dependency graph, tests and documentation between raw BigQuery data and everything the business sees. Build the semantic ...

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 ...

Tableau access management and application management Experience working with enterprise data discovery, analytics, and BI software tools such as Tableau, PowerBI and others for semantic-layer-based data discovery. Experience in enabling the BI self service capability for the organisation Experience and knowledge of big data platforms ...

migration from legacy data warehouse and reporting systems to a modern Azure Data Lake environment. You will design and develop scalable data models, semantic layers, calculations, KPIs and reporting solutions, working closely with Finance, Data Governance, IT and wider business stakeholders. Using technologies including Databricks, Azure Data Factory … this role, you will have strong experience with Databricks, Azure Data Factory and SQL, alongside a solid background in data modelling, schema design and semantic layer development. You will be confident developing Power BI dashboards and reports, with strong DAX knowledge and an understanding of Azure Data Lake ...

Data Engineering experience, ideally 10+ years Hands-on experience with Microsoft Fabric and/or Azure data services Strong expertise in data modelling and semantic layer design Experience building data platforms end-to-end Proven ability to work across the full data lifecycle through to Power BI Strong ...

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 ...

Snowflake technologies. Lead architecture decisions across data ingestion, transformation, governance, analytics, AI, and GenAI initiatives. Establish architectural patterns supporting Data Mesh, Data Lakehouse, Semantic Layer, Knowledge Graph, and Streaming architectures. Drive data readiness initiatives to support AI and Generative AI adoption. Partner with business and technology stakeholders across ...

doing Supporting solution architecture and technical design Building scalable, production-grade data platforms Designing modern lakehouse and ELT architectures Developing data models, pipelines and semantic layers Working directly with clients to understand requirements and shape delivery roadmaps What we're looking for 2–4 years' experience in data engineering ...

transformation programmes. What you'll be doing Supporting solution architecture and technical design Building scalable, production-grade data platform Developing data models, pipelines and semantic layers Working directly with clients to understand requirements and shape delivery roadmaps What we're looking for 24 years' experience in data engineering ...

architecture and roadmap. Design, develop and optimise data pipelines, lakehouse and warehouse solutions to support reliable data delivery. Build and maintain scalable data models, semantic layers and reporting solutions. Work extensively with SQL, Python and the wider Microsoft data ecosystem. Develop and enhance Power BI reporting to provide meaningful … automation. Good understanding of lakehouse and data warehouse architectures. Experience developing and maintaining data pipelines and orchestration processes. Knowledge of Power BI, including semantic models, DAX and reporting. Experience with Git, CI/CD and modern software engineering practices. An understanding of data governance, security, quality and platform performance. ...

real-time data-processing solutions. Lead the design of a Customer Data Platform. Build and evolve a lakehouse architecture using AWS technologies. Create governed semantic models, consistent metrics and clear data definitions. Enable secure, self-service data analysis using modern AI tooling. Automate manual, repetitive or fragile data processes. … open table formats such as Iceberg. Medallion architecture and dimensional data modelling. Strong SQL and Python. SQL Server, SSIS/SSDT and Power BI. Semantic layers, common metrics and data glossaries. Data governance, lineage, retention, classification and auditability. Managing and developing a small technical team. You should also ...

BI. Build self-service analytics capabilities that enable stakeholders to interrogate data independently. Use SQL and DAX to develop robust reporting solutions, views and semantic layers. Work with Azure Databricks and Microsoft Fabric across the BI environment. Maintain and improve existing analytical assets while ensuring reporting continuity. Translate stakeholder … skills covering querying, transformation and reporting layers. Experience using Azure Databricks to support BI and reporting workloads. Strong DAX skills and an understanding of semantic data models. Experience translating business requirements into intuitive reporting solutions. Experience working in Agile or sprint-based delivery environments. Understanding of data governance, data ...

impact on how data empowers the organisation. THE ROLE You'll join the data team to lead the design and delivery of a new semantic layer in Looker. You'll work with stakeholders across departments to translate business needs into performant, trusted data models using LookML and dbt. ...

data model across operational processes Design/shape the operational data architecture Ensure enterprise data models are scalable, consistent and reusable Help define the semantic layer Work closely with business stakeholders to understand how processes operate Challenge requirements Review existing direction and identify architectural or modelling issues Lead ...

ensuring reporting continuity while continuing to develop modern self-service analytics capabilities. This role combines: Power BI development Microsoft Fabric reporting Data modelling & semantic layers Stakeholder engagement Self-service analytics Reporting governance What you'll be doing Business Intelligence & Reporting Design, develop, and maintain Power BI dashboards and reports. … robust reporting solutions that support evidence-based decision-making. Ensure reporting outputs are accurate, scalable, and user-friendly. Data Modelling & Engineering Develop and maintain semantic layers and reporting views. Write SQL and DAX to support reporting requirements. Work with Azure Databricks and Microsoft Fabric environments. Support the transition away ...

business that helps organisations make better decisions through data. A robust data platform is already in place, significant work has been completed around the semantic layer and the business is now entering the next phase of its transformation, focused on connecting data, technology, and customer intelligence more effectively ...

role in developing high-quality, analytics-ready data across its modern data platform. This is an opportunity to take ownership of the curated data layer within a Databricks Lakehouse environment, translating complex business requirements into robust data models and transformation pipelines that support reporting, analytics, and business decision-making. … Responsibilities: Lead the design and development of curated, analytics-ready dimensional and semantic data models. Build, maintain and optimise complex SQL and PySpark transformation pipelines within Databricks. Define and maintain KPI definitions, conformed dimensions and consistent business logic across data domains. Ensure data quality, integrity, testing, observability and performance ...

Lead will: Develop, optimise, and maintain Power BI dashboards and reports Enhance existing reporting solutions and self-service analytics capabilities Work with semantic layers and data models to ensure reporting accuracy and performance Write and maintain SQL and DAX to support reporting requirements Collaborate with stakeholders to gather requirements … Excellent SQL skills for querying, transforming, and structuring data Strong understanding of data modelling principles, including concepts such as star schema, Kimball methodology, and semantic modelling Experience developing and maintaining DAX measures and calculations Confidence engaging with stakeholders and translating business requirements into technical solutions Experience working within agile ...

Management (MDM), Data Quality & Observability, Metadata Management and Data Products as well as supporting organisations adoption of AI including Agentic Data Management, AI Observability, Semantic Layers and Ontologies. We are looking for candidates that have deep experience in one or more core capabilities below and wants … reinventing Data Management & Governance for the AI era. AI Data Management: awareness or experience of areas such as Agentic Data Management, AI Observability, semantic layers, knowledge graphs and ontologies. Data Governance & Strategy : experience supporting the design or implementation of governance frameworks, policies, standards, controls, ownership and stewardship models. Data ...

foundations that make AI delivery faster, safer and easier to scale. Leading design and delivery teams to build AI-ready data foundations, platforms and semantic layers that provide trusted business context, reusable knowledge assets and reliable access to enterprise information for AI and analytics Designing and embedding engineering capabilities … human decision-makers, while supporting technology and platform decisions. Understanding of the foundations required to build trusted enterprise AI, including cloud data platforms, semantic layers, data products, AI evaluation, security, governance and responsible AI practices. Consulting & Client Leadership: Experience in consulting or client-facing roles, building trusted senior client ...