21 of 21 Permanent Semantic Layer Jobs in England

into governed, trustworthy assets and deploy AI systems that meet the reliability standards our institutional clients expect.We operate at the intersection of data engineering, semantic modeling, and applied AI—delivering solutions across the enterprise, spanning the full breadth of Bullish operations from trading floors to treasury, compliance to market … systems that make Bullish’s data not just accessible but intelligible— to business users through conversational analytics, and to AI agents through governed semantic and knowledge layers.The industry is at an inflection point. Google Cloud’s Agentic Data Cloud, BigQuery Graph, Knowledge Catalog, and MCP-native database tooling ...

/ELT data pipelines. Good understanding of PySpark, Spark SQL, Python, and SQL. Strong knowledge of data warehouse, data lake, data mart, and semantic layer architecture. Experience in defining data quality, data validation, reconciliation, audit, and exception handling frameworks. Experience with data governance, metadata management, data lineage, data … data ingestion frameworks. Define data retention, archival, and purge strategies. Define master and reference data management approach. Design reporting and analytics data marts. Define semantic layer and consumption patterns for BI tools. Review and approve data engineering designs and implementation. We are a Disability Confident Employer: Capgemini ...

iterate on autonomous and semi-autonomous agent workflows that retrieve, reason over, and act on enterprise data (with guidance on architecture and safety). Semantic Layers & Ontologies - Contribute to semantic models (metrics, definitions, and metadata) that make it easier for business users to query data consistently. LLM-Powered … explain complex technical concepts to non-technical stakeholders. What Would Make You Stand Out: Experience with LLM orchestration frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel). Exposure to semantic layer technologies (e.g., dbt metrics layer, Cube, AtScale) or knowledge graph tooling. Familiarity with BI platforms ...

such as finance and HR via APIs and structured feeds. Translate business requirements into robust, scalable data models using best practice approaches. Own the semantic layer and reporting layer in Power BI, enabling trusted self-serve analytics. Work closely with stakeholders across the business to define … ideally Azure. Solid SQL capability and confidence building reliable transformation logic. Experience with data modelling concepts such as star schema, Kimball-style modelling, and semantic layers. Power BI experience across data modelling, DAX, and report development. Exposure to Databricks and lakehouse concepts, including incremental loads and snapshotting. Comfortable engaging ...

robust data models to support analytics and reporting, following best-practice approaches such as Kimball and star schemas Supporting and enhancing the Power BI semantic layer and reporting outputs Working closely with stakeholders to translate business requirements into scalable data solutions Ensuring data quality, reliability, and documentation across … cloud-based data environment, ideally Azure Solid SQL skills and hands-on experience with data transformation and modelling Experience using Power BI, including semantic models, DAX, and the reporting layer Exposure to Databricks, particularly for data transformation and connecting multiple data sources Familiarity with concepts such as medallion ...

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 ...

team of data engineers (minimum 2) Work closely with stakeholders to translate business requirements into scalable data solutions Enable downstream analytics, including Power BI semantic models and dashboards Contribute to long-term AI and data innovation initiatives YOUR SKILLS AND EXPERIENCE: 6+ years' experience in data engineering Strong expertise … data modelling (dimensional modelling and semantic layer design) Hands-on experience with Microsoft Fabric and/or Azure data services Proven end-to-end delivery across the data lifecycle (through to visualisation) Experience managing or mentoring engineers Strong stakeholder engagement and communication skills Nice to have: Experience working ...

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 ...

Strong commercial experience with SQL. * Experience working in MS Azure environment. * Hands-on experience working with Databricks. * 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. ...

modelling standards, including dimensional modelling approaches. Develop CI and CD pipelines to enable reliable deployment and testing of data products. Create and maintain a semantic layer for self-service analytics and reporting. Partner with stakeholders across multiple business areas to translate data needs into solutions. Deliver insights … data pipelines using Spark and Python or SQL. Strong understanding of data modelling, including star and snowflake schemas. Experience working with BI tools and semantic layers such as Looker or similar platforms. Familiarity with version control and CI or CD workflows. Ability to communicate complex technical concepts ...

modelling standards, including dimensional modelling approaches. Develop CI and CD pipelines to enable reliable deployment and testing of data products. Create and maintain a semantic layer for self-service analytics and reporting. Partner with stakeholders across multiple business areas to translate data needs into solutions. Deliver insights … data pipelines using Spark and Python or SQL. Strong understanding of data modelling, including star and snowflake schemas. Experience working with BI tools and semantic layers such as Looker or similar platforms. Familiarity with version control and CI or CD workflows. Ability to communicate complex technical concepts ...

modelling standards, including dimensional modelling approaches. Develop CI and CD pipelines to enable reliable deployment and testing of data products. Create and maintain a semantic layer for self-service analytics and reporting. Partner with stakeholders across multiple business areas to translate data needs into solutions. Deliver insights … data pipelines using Spark and Python or SQL. Strong understanding of data modelling, including star and snowflake schemas. Experience working with BI tools and semantic layers such as Looker or similar platforms. Familiarity with version control and CI or CD workflows. Ability to communicate complex technical concepts ...

engineers across squads Ensure alignment and compliance with data platform usage (warehousing, orchestration, transformation ways of working) Drive consistency in data modeling approaches and semantic layers for analytics products Champion data quality, observability, and governance practices Cross-Squad Alignment & Delivery Enablement Partner with product managers and tech leads ...

based data stacks (AWS, SQL, BI tools) * Confident stakeholder management across technical and non-technical teams * Previous management or mentoring experience preferred * Exposure to semantic layers or AI-led data accessibility tools is advantageous SALARY AND BENEFITS * Up to £140,000 base salary * Competitive benefits package * Hybrid working model ...

journey. Strong proficiency of SQL and advanced Python is required. Experience with modern data stacks, including dbt, data warehousing (e.g. Snowflake) and visualization/semantic layers like Lightdash or Looker. Ability to understand the underlying business logic of marketing and financials to ensure technical products are meaningful and actionable. ...

Business to ensure analytics is embedded in every decision Drive "Data as a Product" , owning the evolution of our data models and semantic layer, ensuring teams can reliably self‐serve from high‐quality data products Champion governance and guardrails , establishing rigorous standards for modelling, semantics, testing, and auditability ...

execute a defined plan. You will be working across two fronts simultaneously: building the core platform capabilities — the virtualized data lake, Common Data Layer, and data contract framework — that give WTW a unified, AI-ready data foundation; and embedding directly within product domains to deliver the high-quality, reusable … Databricks data engineering and ML stack. Strong command of DBT for modular, testable, and well-documented data transformation; a clear point of view on semantic modeling and metric layer design. Fluency in Python and SQL; comfort with Spark for large-scale data processing and transformation. Experience with modern ...

data pipelines within Microsoft Fabric, implementing and maintaining medallion architecture standards across ingestion, transformation, and presentation layers Develop and optimise trusted data models and semantic layers that enable high-quality reporting, self-service analytics, and advanced business insight Collaborate closely with stakeholders across the organisation to translate business requirements … skills, including developing, optimising, and troubleshooting queries to support data transformation and analytical models Confident in building and maintaining robust data models and semantic layers that support high-quality reporting, self-service analytics, and advanced insight using tools such as Power BI or similar analytics platforms Experience working with ...

successful candidate will collaborate closely with analysts, stakeholders, and the wider data team to translate reporting requirements into reliable dashboards, datasets, measures, and semantic models. While the business benefits from senior data architecture support, it requires someone to take practical day-to-day ownership of Power BI delivery, improve … ideal for an individual who enjoys hands-on Power BI development but also understands the broader data environment, including data modelling, ERP data, semantic layers, governance, and data warehouse-related activities. Key Responsibilities Develop and maintain Power BI dashboards, reports, datasets, and semantic models. Build DAX measures, reporting ...

finance, operations and commercial teams. Roles & Responsibilities Define the technology stack and architecture for the organisation's enterprise data warehouse Establish data modelling standards, semantic layers and reusable datasets Oversee ETL pipelines across ERP, CRM and operational systems Implement data quality, governance and DataOps best practices Lead and direct … Experience working with ERP and financial data environments Experience leading distributed, offshore or third-party delivery teams Experience defining data architecture, modelling standards and semantic layers Knowledge of data governance frameworks, data quality controls and data stewardship principles What You Get Hybrid working (3 days per week ...

self-service data literacy for PMs, design researchers and engineers. Design LLM-ready data foundations for onboarding analytics, including clean business entities, event schemas, semantic definitions, metadata, retrieval-friendly documentation, and evaluation datasets that make data usable by AI systems without losing governance or context. Partnering with your product … experimentation, causal inference, or product opportunity sizing. Data product ownership: Experience building and owning production-grade analytical assets, such as dbt models, Airflow jobs, semantic layers, metric stores, governed dashboards, or trusted self-serve datasets. LLM-ready data thinking: You understand what makes data usable by AI systems: clean ...