1 to 25 of 37 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 ...

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 ...

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 ...

/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 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 ...

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 ...

Description: Data/BI Architect (Power BI, Semantic Modelling & Cloud) Role Overview We are looking for a highly skilled Data/BI Architect with strong expertise in data modelling, semantic modelling, and enterprise Power BI architecture. The role requires hands-on experience with Power BI Premium, Tabular Editor … Studio, and GitHub-based BI DevOps, along with exposure to AWS data platforms (Redshift, S3, etc.). Key Responsibilities Data & Semantic Modelling - Design and implement dimensional data models (star schema, fact/dimension design) - Build and manage enterprise-scale semantic models (Power BI datasets/tabular models) - Define ...

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 ...

Snowflake\ NDevelop reusable data assets for downstream reporting and analytics\ NTroubleshoot and resolve data quality or performance issues\ N\nImprove the Reporting & Analytics Layer\ N\nDesign a clean, scalable semantic layer for reporting\ NStandardise key business metrics and definitions\ NSupport transition away from legacy report-first design ...

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. ...

Develop reusable data assets for downstream reporting and analytics \n Troubleshoot and resolve data quality or performance issues \n\n Improve the Reporting & Analytics Layer \n \n Design a clean, scalable semantic layer for reporting \n Standardise key business metrics and definitions \n Support transition away from ...

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 ...

strategy and influence data governance at scale Involvement in a major cloud migration programme Exposure to emerging areas such as AI-enabled analytics and semantic layer development Clear progression within a structured framework How to Apply If you are an expert in Tableau, apply below ...

pandas and SQL in Jupyter notebooks for analysis \n dbt and Databricks data platform with Delta Lake \n Lightdash as our BI tool and semantic layer \n Streamlit for interactive data applications \n Airflow for orchestration \n Kubernetes for application deployment \n CI/CD with GitHub ...

pandas and SQL in Jupyter notebooks for analysis \n dbt and Databricks data platform with Delta Lake \n Lightdash as our BI tool and semantic layer \n Streamlit for interactive data applications \n Airflow for orchestration \n Kubernetes for application deployment \n CI/CD with GitHub ...

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 ...

warehouse to Google Cloud Plat formReduce technical debt and improve performance across the existing Tableau es tateContribute to the development of AI enabled and semantic layer driven analy tics Your Skills and Experi ence:Strong commercial experience with Tableau, including dashboard and data source develo pmentAdvanced SQL skills ...

nPython, pandas and SQL in Jupyter notebooks for analysis\ Ndbt and Databricks data platform with Delta Lake\ NLightdash as our BI tool and semantic layer\ NStreamlit for interactive data applications\ NAirflow for orchestration\ NKubernetes for application deployment\ NCI/CD with GitHub and CircleCI\ NInfrastructure on AWS, deployed ...

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 ...

Engineer positions—for upcoming roles across commercial, customer, product, finance, marketing and operations reporting. These are hands-on roles where you'll own the layer that turns warehouse data into the dashboards, semantic models and self-service tools the business actually uses to make decisions. You'll work … translate them into BI deliverables Design and build production-grade dashboards and reports in Power BI, Tableau, Looker or equivalent Develop and maintain semantic models (DAX, LookML, Tableau data models) that scale across the organisation Build and optimise data marts and reporting layers in the warehouse Write efficient ...

Azure Environment. Key Criteria: Strong knowledge of: Cloud-native data platforms (e.g., lakehouse, warehouse, streaming systems) Modelling approaches (medallion, dimensional, event-driven, semantic layers) Data governance frameworks and metadata tooling Data lineage, cataloguing, discovery, and documentation Data quality and observability tooling Data access/security patterns Skilled in standardisationcreating ...

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 ...

only for measurement strategy but also for helping shape the future customer and marketing technology ecosystem. Major investment is underway across customer platforms, semantic layers, data infrastructure and marketing technology, requiring an individual who is equally comfortable discussing econometric methodologies, technology architecture and commercial outcomes. Perhaps most interestingly ...