1 to 25 of 37 Permanent Semantic Layer Jobs in England

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 ...

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 ...

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 ...

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 ...

with data engineering and analytics teams to ensure reporting is built on reliable, well structured datasets. Apply strong understanding of data modelling, DAX and semantic layer principles to support scalable and effective reporting solutions. Proactively identify opportunities to improve reporting, increase adoption of BI tools and enhance … Strong commercial experience using SQL and Power BI within a business intelligence or analytics environment. Good understanding of Power BI data modelling, DAX and semantic layer concepts, without necessarily being heavily focused on backend engineering. Experience building reporting and dashboard solutions for business stakeholders in a fast paced ...

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 ...

managed data platform across multiple client brands. You'll work across the full data stack, from source connection through to the AI-powered query layer, deploying structured, repeatable data infrastructure that puts business intelligence directly into the hands of brand operators and investors. This is a hands-on technical … role with meaningful client exposure. You won't just build pipelines, you'll encode business logic into a context layer that makes AI genuinely useful on real commercial data. You'll deploy platforms for new brands, maintain and evolve existing ones, and help shape how we productise this capability ...

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 ...

within production environments Hands-on experience with CI/CD pipelines (e.g. Jenkins or similar tools) Deep knowledge of data modelling, data architecture, and semantic layer design Strong understanding of data quality, governance, and secure data handling practices Experience in observability, monitoring, and production system reliability Leadership & Collaboration ...

automated deployment pipelines and DevOps practices. Advanced Data Management Expert-level SQL skills, including query optimisation and performance tuning. Experience developing scalable data models, semantic layers, and analytical datasets. Strong understanding of data quality management, validation frameworks, and governance principles. Knowledge of data profiling, anomaly detection, and analytical methodologies. ...

performance‐tuning skills. Experience following coding standards and performing peer code reviews. Data Modelling & Insight: Strong capability in designing intuitive, scalable data models and semantic layers aligned to business meaning; skilled in advanced data profiling, anomaly detection, and statistical reasoning to ensure data integrity. Collaboration: Able to influence senior ...

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 ...

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 ...

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 ...

clear backlog for delivery Define metrics, business rules, and data definitions; partner on dimensional/data modelling for the lakehouse and the Power BI semantic layer to ensure consistent reporting Coordinate with data engineering and information technology teams on the data Lakehouse and Power BI buildout, clarifying requirements ...

Azure environment. • 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 ...

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 ...

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 ...

clinical teams who need to make better decisions, faster. They're looking for a Senior Analytics Engineer to take real ownership of the modelling layer - the dbt project, the semantic layer, the Looker dashboards - and set the standards the rest of the data team builds against. This ...

users (Looker dashboards) and AI agents consuming governed data via MCP Owning pipeline reliability during London hours; incident response, schema drift, reconciliation breaks Semantic layer work that needs to be precise enough for AI agents to query correctly What they're looking for: 5+ years in data engineering ...

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 ...

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 ...

best practice, ensuring consistency, scalability, data quality and sustainability of analytical solutions. Be accountable for the delivery of high‐quality analytical datasets and semantic layers that enable self‐service business intelligence, advanced analytics and data science across the organisation. Provide technical leadership and specialist advice on data structures, modelling ...