25 of 25 Permanent Semantic Layer Jobs in London

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 ...

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 ...

platform components. Develop and support Power BI reports, dashboards, and analytical solutions across multiple business functions. Build and maintain robust data models and semantic layers within Power BI. Contribute to the development and enhancement of a modern data lake and data platform architecture. Support both BAU activities … development and optimisation. AWS services including Athena, S3, Lambda, Glue, Redshift, EC2, and RDS. PostgreSQL, Postgres RDS, MySQL, and AWS Athena. Data modelling and semantic layer design. DAX query language. Python for data processing and pipeline development. GitHub and source code management. Agile delivery environments. AI/ ...

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 ...

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 ...

maintain data products aligned to business use cases Data Architecture & Modeling Design robust data models and ontology structures within Foundry Define and maintain semantic layers for business-facing analytics Ensure data integrity, lineage, governance, and quality controls Optimization & Performance Monitor and optimize pipeline performance, cost efficiency, and scalability Implement ...

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 ...

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 ...

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 ...

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 ...

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 ...

data Snowflake-centric analytical environments Vector and retrieval layers AI interaction patterns Define scalable, secure integration patterns across systems. Architect AI-Ready Foundations Design semantic models and governed data layers that support: LLM-powered extraction and reasoning Internal knowledge systems AI copilots and workflow automation Ensure data is structured … modern cloud data platforms. Proven experience designing cloud-native data environments (e.g. Snowflake, Databricks, BigQuery or equivalent). Deep expertise in: Data modelling and semantic layers Governance and operating models Data integration patterns Structured and unstructured data environments Experience designing AI-ready architectures that support LLM or RAG-based ...

simply moving dashboards from one tool to another. ROLES AND RESPONSIBILITIES: The Senior BI Engineer will: Migrate and rebuild datasets, dashboards and semantic models from Power BI into Omni Re think reporting structures to reduce duplication and improve self serve analytics Design reusable datasets and analytics topics to support … preferable to direct migration Support governance, documentation and data quality best practice Help lay the foundations for AI ready analytics within the BI layer YOUR SKILLS AND EXPERIENCE: The ideal candidate will have the following skills and experience: Strong commercial SQL capability Experience with Power BI, Looker or similar ...

client‐facing insight depends on engineers being able to find, understand, trust, and use financial datasets at scale. DataHub is Bloomberg’s experience layer for data. What GitHub is for code, DataHub is for data: the place where engineers discover datasets, understand schemas, request access, publish streams, subscribe … only a frontend role, and it is not only a backend infrastructure role. The experience is the full journey: the UI, the APIs, the semantic model, the provisioning flow, the feedback loops, the error states, the defaults, the automation, and the reliability of the systems underneath. The next frontier ...