1 to 25 of 30 Semantic Layer Jobs in the UK

That requires a new class of consulting talent: people who understand the business deeply, can model complex insurance concepts, can translate domain knowledge into semantic structures, and can help clients create the foundations for GenAI, GenBI, agentic workflows and intelligent operations. The Opportunity We are looking for experienced Ontology … policy administration, distribution, risk, pricing, exposure management, reinsurance and insurance operations. Our clients are establishing enterprise ontologies as a foundation for: Data ontology and semantic layer for GenBI - creating a business-friendly, governed semantic layer that allows executives, underwriters, claims leaders, actuaries, risk teams and operations ...

execution of our 7-Pack CJA migration plan. Packs 1 and 2 are complete. Packs 3 through 7 require senior architectural ownership across schema, semantic layer governance, lighthouse use case enablement, parallel run validation, and rollout. What you'll do: Adobe Customer Journey Analytics certified, current Adobe Experience … Experience with AEP source connectors One Trust consent governance integration with Adobe Launch and Web SDK CHEQ or equivalent bot filtering integration Power BI semantic layer translation experience SCOPE OF WORK BY PACK Pack 1-2 have been completed internally. Pack 3, Semantic Layer Governance: Architect ...

ensure a single version of the truth across the global brand/li/ul p Data Design & Technical Translation:/p ul li Semantic Layer Definition: Help shape the semantic layer of our data platform, ensuring that complex data structures are translated into intuitive, business ...

take ownership of building the data and BI foundations for a modern analytics platform, including the implementation of dbt and a governed semantic layer. THE COMPANY: This client's platform enables organisations to make smarter, faster decisions using real-time consumer insight at scale. With continued international growth … Databricks Lakehouse architecture, including governed data models and structures Leading the implementation of dbt and shaping best-practice transformation workflows Building and owning the semantic layer to enable scalable, self-service analytics Developing and optimising Python/SQL Spark pipelines for performance and reliability Acting as a senior ...

take ownership of building the data and BI foundations for a modern analytics platform, including the implementation of dbt and a governed semantic layer. THE COMPANY: This client's platform enables organisations to make smarter, faster decisions using real-time consumer insight at scale. With continued international growth … Databricks Lakehouse architecture, including governed data models and structures Leading the implementation of dbt and shaping best-practice transformation workflows Building and owning the semantic layer to enable scalable, self-service analytics Developing and optimising Python/SQL Spark pipelines for performance and reliability Acting as a senior ...

within a small frontend analytics team and take the lead on migrating dashboards and reporting logic from Power BI to Omni (Looker-style semantic layer) . This is not a lift-and-shift exercise - they need someone who can: Challenge what should actually be migrated Consolidate and simplify … environment Nice to have Experience with BI migrations (highly beneficial) Experience with dbt or modern data transformation frameworks Exposure to Looker/Omni/semantic layer tools Background in analytics engineering or hybrid BI/data roles Why this role High-impact project with clear ownership Opportunity ...

data models. Experience with enterprise systems such as SAP BW/HANA. A track record of building reusable datasets or maintaining a metrics/semantic layer. Basic Python for automation or analytics engineering tooling. Experience collaborating in cross-functional analytics or data product teams. Why Join Us Help shape ...

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 ...

Snowflake Develop reusable data assets for downstream reporting and analytics Troubleshoot and resolve data quality or performance issues Improve the Reporting & Analytics Layer Design a clean, scalable semantic layer for reporting Standardise key business metrics and definitions Support transition away from legacy report-first design toward model ...

Python. • Hands-on experience working with Databricks, or a strong desire to deepen expertise in it. • Expert understanding of data modelling principles and semantic layer concepts. • Experience working with Azure Data Factory or similar orchestration tools. • Ability to translate business needs into logical, scalable data models. • Comfortable working … across multiple data sources and handling pipeline design. • Experience with Power BI, including semantic models or Tabular Editor. • Curious, collaborative mindset with the ability to push back constructively and guide stakeholders. ...

Lead & Mentor Manage and develop a team of Analytics Engineers, helping establish best practices around modelling, testing, documentation, and delivery standards. Own the Semantic Layer Shape and maintain trusted business definitions and scalable dbt models powering reporting, experimentation, and operational analytics. Build Self-Serve Analytics Enable teams across ...

Analytics Engineer UK Remote with occasional travel to Office Up to £70,000 plus benefits This is an opportunity to shape a modern analytics layer from the ground up, sitting at the intersection of data engineering and business insight. You’ll be the first dedicated analytics engineering hire … clear growth agenda, data is treated as a strategic asset rather than a support function. The Role Own and develop the analytics layer of the data platform, ensuring data is clean, well-structured, and business-ready Design, build, and maintain scalable data models using best practice transformation frameworks (e.g. ...

support operational, analytical and BI reporting requirements. Support the integration of data from enterprise systems, including data warehouses, SAP and ERP platforms. Support semantic/data virtualisation layers used to serve trusted data to downstream reporting tools. Develop and support BI dashboards and reports using tools such as Tableau … Hands-on experience with SSIS and/or similar ETL/data integration tooling. Experience with TIBCO Data Virtualisation or similar data virtualisation/semantic layer technologies. Experience with Qlik Replicate and/or similar data replication or integration tooling. Experience working with data from enterprise systems, including ...

pipeline - Airbyte (OSS) for extraction, Airflow on Astro for orchestration, dbt via Cosmos for transformation - and the BigQuery lakehouse beneath it, with a semantic layer on top.These are hands-on, build-and-operate roles in a team that takes engineering quality seriously.Core Responsibilities: ELT Pipeline Ownership : Extend ...

high-quality, easy to understand, and well-documented. Create an environment that allows safe experimentation and innovation. Power BI & Analytics Leadership Lead on our semantic layer, data models, and Power BI architecture. Build and govern standard datasets used for: Executive reporting Self-service BI Data science ...

delivery of end to end BI solutions within a small analytics squad. Build, maintain and optimise Power BI solutions, covering data modelling, DAX and semantic layers. Design robust data models using star schema principles and well managed relationships. Own performance tuning across Power BI models and reports to ensure ...

organisation. The Role Support a major data platform migration, helping to build strong architectural foundations. Design and implement dimensional models and a robust semantic layer to enable trusted, self service analytics. Introduce and embed dbt as part of the transformation and modelling layer. Establish effective data governance using … Experience Strong commercial experience as a BI Data Architect or BI Engineer in modern analytics environments. Proven capability in dimensional modelling and designing semantic layers for BI tools. Hands on experience with Databricks and lakehouse style architectures. Working knowledge of Unity Catalog or similar data governance frameworks. Experience implementing ...

Azure cloud platform and working closely with BI and data product teams throughout. About you Strong track record delivering modern data platforms and semantic layers Proven experience working with related Azure services (Data Factory/Databricks etc..) Strong ERL/ELT pipeline exposure within cloud environments. Familiarity with ...

Coaching analysts and BI developers on SQL, DAX, data modelling, visual design and engineering hygiene. Working closely with Data Engineering on changes to the semantic and curated layer and data marts. Delivering complex analytics workstreams end-to-end, and working within an Agile framework to break down requirements … broker or specialty (re)insurer. Advanced SQL, including query optimisation and working with the Azure data stack (Data Factory, Synapse/Fabric, SQL-based semantic layers). Advanced Power BI: data modelling (star schemas), advanced DAX, Power Query/M, performance tuning, RLS and deployment via pipelines. A strong ...

secure, scalable deployment patterns that support frequent change, experimentation, and AI/agent-based services. Enable and govern data access patterns, including Fabric and semantic layers, with a strong focus on security, compliance, and operational insight. Provide cloud financial management (capacity, forecasting, optimisation) expertise in partnership with finance ...

Knowledge & Expertise Technical Skills Demonstrable technical knowledge of Microsoft Fabric as the primary data platform (OneLake, Lakehouse/Warehouse, Notebooks, Data Pipelines, Dataflows Gen2, Semantic Models/Power BI), including security/governance and Git‐based delivery. Familiarity with Azure data services (for example ADLS/Azure … Python (and DAX where required), with an engineering mindset around testing, readability, and performance. Strong analytics capability across the Microsoft BI stack (Power BI, semantic modelling, governance and performance), with experience modernising from legacy MSBI where applicable. Demonstrable understanding of enterprise data concepts: dimensional modelling, lakehouse/warehouse patterns ...

maintain data pipelines for a new reporting solution within the business. You'll be responsible for the build across ingestion, modelling and creating semantic layers using their GCP stack. Successful applicants will have experience with: Looker BigQuery GCP Gemini Exceptional candidates would have worked with: Retail Data ...

modern analytics engineering (DBT, Snowflake, Fivetran or equivalent) and can provide strong technical oversight without being hands-on day-to-day. Working knowledge of semantic layers and understand how they underpin reliable, consistent data access, including enabling AI tooling If the above is of interest, please apply with ...

skilled candidate with 10+ years’ experience in Power BI development, advanced SQL Server expertise, strong ERP and ETL knowledge and proven experience building scalable semantic models and data infrastructure. The ideal candidate will combine strong technical capability with excellent problem-solving, communication, and stakeholder management skills. … Server expertise, including query optimisation, views, stored procedures, and performance tuning. Strong experience managing ERP data structures and integrations. Experience building and managing semantic models and enterprise datasets in Power BI. Strong knowledge of ETL processes, data transformation, and data modelling principles. Advanced DAX development and optimisation experience. Experience ...

trusted data products that support analytics, reporting, and emerging AI initiatives. Key Responsibilities Define and own enterprise-wide data modelling standards, including Data Vault, semantic layers, Star Schema patterns, Snowflake object hierarchies, and governance frameworks. Design scalable integration architectures for legacy platforms, including AS400, iSeries, and SQL-based systems … scalable warehouse, clustering, and workload management strategies. Design data architectures that support AI and GenAI use cases, including vector search capabilities, embedding pipelines, and semantic data structures. Collaborate with Business Analysts, Data Engineers, and stakeholders to define data contracts and implement automated data quality frameworks. Champion Data-as-Code ...