1 to 25 of 38 Permanent Semantic Layer Jobs in England

Intent and partners closely with Data Science,Engineering, Client Services (to design and maintain quality standards) and other Product Managers. IntentAI is the inference layer that turns raw behavioural and device signals into the brands, topics, moments and, eventually, forward-looking predictions (move, buy, churn) that make IntentOne valuable. … IntentAI includes an Intent Semantic Layer that selects the right context for each goal and agent at scale, and is our core technical moat. Today that moat is real but under-explained. We build strong models, but the quality and value story is still fuzzy, and the field ...

Role: Semantic Knowledge Architect Location: London Duration: Contract The Context: Thebes Group is a Optimisation Company. We are engaged on an AI transformation programme for a private equity group, focused exclusively on group-level operations, not fund management or investment activity. The programme is building AI agents to support … foundation ontology and taxonomy already exists, and the organisation's data is mapped and manageable in scope. This is not a greenfield engagement. The Semantic Knowledge Architect joins an established delivery team that includes an AI engineer responsible for agent development. The two roles work in close partnership ...

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 ...

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 ...

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 ...

analytics platforms utilizing: SAP Business Data Cloud (BDC) for unified data ecosystems and business context integration. SAP Datasphere for data modeling, federation, virtualization, and semantic layer development. SAP Analytics Cloud (SAC) for reporting, dashboards, planning, and predictive analytics. SAP BDC Connect and Data Products frameworks. Intelligent Applications … Data Packages. Medallion Architecture patterns leveraging SAP HANA Cloud. AI-enabled analytics and data-driven decision support. Key responsibilities include: Designing analytical, semantic, and business-layer data models aligned with organizational KPIs and reporting requirements. Defining data integration strategies across SAP and non‐SAP environments, including real‐time ...

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 ...

data products they need Contribute to data governance, cataloguing, access management and platform security (Analytics Engineer) Sit closer to the analyst side—transformation, modelling, semantic layer, metrics (Platform Engineer) Sit closer to the platform side—infra, tooling, developer experience for data practitioners (For Senior/Lead/Principal ...

/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 ...

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 ...

Engineering to shape how data is structured, defined, and consumed across the business. You'll be responsible for designing and building the curated and semantic layers that sit between raw data ingestion and business consumption — the models that power self-serve reporting, BI tooling, and emerging AI and agentic … tools that rely on it. Responsibilities Design, build, and maintain curated data models in dbt across staging, intermediate, and mart layers Develop semantic layer definitions — metrics, dimensions, and business logic — that serve as a single source of truth for BI and analytics Translate business concepts and rules into ...

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 ...

GenAI enablement, and agentic architectures 2. Data & AI Architecture Leadership Own end-to-end architecture across data and AI layers: Data ingestion, processing, modelling, semantic layer, and consumption AI platform integration (model lifecycle, feature engineering, inference pipelines) Design modern Lakehouse + AI architecture leveraging Azure and Databricks Define … + Power BI) Lead architecture and execution of: Azure Data Platform (ADF, Synapse, Fabric, ADLS) Databricks (Lakehouse, Delta, ML workflows, PySpark pipelines) Power BI (semantic models, enterprise dashboards, self-service BI) Drive adoption of: Metadata-driven architectures Automation, orchestration, and reusable frameworks Ensure separation and optimisation of data engineering ...

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 ...

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. ...

growth. What the role involves: Designing and building cloud-native data infrastructure that scales Building and maintaining reliable ingestion, transformation and orchestration pipelines Developing semantic models and governed data structures that people can trust Improving data quality, observability and lineage across the platform Contributing to architectural decisions and long … with AWS and modern warehousing tech - Redshift in particular Experience with dbt or similar transformation tooling A good understanding of data modelling, governance and semantic layer design Experience with agentic AI or AI-assisted tooling within data workflows Strong engineering judgement and the ability to balance long term ...

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 ...

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 ...

trusted partner to senior leaders, influencing at executive level. Experience defining and embedding end‐to‐end BI delivery methodologies. Strong understanding of data governance, semantic models and trusted data principles. Hands‐on experience delivering BI in an agile, iterative environment. Experience working within insurance or wider financial services data … reporting estates. Exposure to AI‐augmented analytics or automated insight generation. Experience leading BI teams through organisational change or consolidation. Familiarity with enterprise semantic layer technologies. Responsible Artificial Intelligence usage. What We Will Offer You Recognised and rewarded for a job well done, we have a range ...

Developing data-driven product features and data products Running A/B tests, holdouts, sample sizing and post-test analysis Owning certified metrics and semantic layer thinking for your squad’s domain Using LLMs and AI tools to speed up analysis, prototype ideas and support AI-augmented features … storytelling skills It would be a bonus if you have: Experience working as the data expert in an Agile product squad Exposure to semantic layers, certified metrics or metrics governance Experience prototyping data-driven product features Familiarity with AI evaluation, guardrails or non-deterministic model outputs A quantitative degree ...

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 ...

operated modern data platforms natively within GCP and can take ownership of the full data engineering lifecycle, from ingestion and transformation through to semantic modelling and reporting enablement. You must have experience in designing, building and optimising scalable data pipelines within the GCP ecosystem. You must also have experience … Hands-on experience with BigQuery, including optimisation, modelling and performance tuning Proven experience building scalable data pipelines within GCP Strong knowledge of Looker and semantic layer development Experience working with Gemini Ability to design and implement robust cloud-native data architectures Experience working within fast-paced, data-driven ...

solutions that drive business outcomes. Responsibilities Build and maintain scalable data pipelines integrating customer, campaign, and operational data into the CDP and marketing data layer Design and manage data models to support segmentation, lifecycle analytics, attribution, and KPI measurement Ensure data quality, consistency, deduplication, and optimisation for analytics … resolution, consent management, and audience readiness Develop event streams and triggers to support customer journey orchestration and real-time decisioning Provide structured datasets and semantic layers for dashboards and advanced analytics Implement data governance practices, including lineage, cataloguing, validation, and GDPR/PII compliance Partner with analytics, MarTech ...