1 to 25 of 31 Permanent Semantic Layer Jobs in England

their compliance programs.To learn more about Comply, visit comply.comThe Role:We are looking for Senior AI Data Engineers to implement and operationalize Comply's semantic layer — turning the ontological models defined by our ontologist and architects into working knowledge graphs, vector search infrastructure, and LLM-powered pipelines. This … hands-on engineering role at the intersection of knowledge representation, AI infrastructure, and data platform engineering. You will own the delivery of semantic layer components, collaborate closely with application and data engineering teams, and ensure that AI-ready data products are reliable, performant, and adopted in practice. ...

Engineers, Data Scientists, and Data Engineers.You will own our Looker environment end to end — connecting new data sources, modelling a clean and reliable LookML semantic layer, and building the dashboards and self-serve tools that our UA analysts and marketing leadership rely on every day. Beyond building … make a significant impact within the company.Key ResponsibilitiesOwn our Looker environment end to end — connect new data sources, author and maintain the LookML semantic layer (views, explores, models and derived tables), and build the final dashboards, all independently.Design and build self-serve tools and dashboards that empower ...

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 ...

including identity resolution, consent management, and audience readinessDevelop event streams and triggers to support customer journey orchestration and real-time decisioningProvide structured datasets and semantic layers for dashboards and advanced analyticsImplement data governance practices, including lineage, cataloguing, validation, and GDPR/PII compliancePartner with analytics, MarTech, and marketing teams ...

control. In addition toleadingdata processing thePrincipal Data Engineer will help design and build the DataMeshincluding data modelling andthe processing of datafrom raw through the semantic layers. The Principal Data Engineer willidentifyopportunities for automation and process improvement, coachandmentor data engineers, set coding standards and best practices, implement and document data ...

Event completeness and coverage Cardinality drift Volume anomalies Identity and user stitching integrity Proactively identify and resolve issues before they impact experiments or reporting Semantic Layer Enablement Enable trusted behavioural metrics through: Databricks metric enabled views Power BI semantic models Ensure metrics are usable for: Self serve … data quality Nice to Have Experience supporting experimentation and A/B testing Knowledge of identity resolution and cross device tracking Power BI semantic modelling experience Experience enabling self serve analytics Interest in AI assisted analytics or metric driven agentsAdditional InformationEmployee discount (hello ASOS discount!) Employee sample sales ...

cloud-based Lakehouse platform using Microsoft Fabric Building scalable and reliable data pipelines using a Medallion architecture approach Designing robust data models and semantic layers across multiple business domains Establishing engineering best practices, governance frameworks and development standards Managing and developing a small team of data engineers Partnering with … stakeholders across the organisation to translate business requirements into scalable data solutions Enabling high-quality downstream reporting, analytics and Power BI semantic models Supporting long-term data innovation and AI initiatives across the organisation YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Strong expertise in dimensional data ...

present solutions to senior client audiences (pre-sales experience is essential). Translate business requirements into target-state data models, ingestion patterns, and semantic layers. Guide engineers on implementation, performance optimisation, cost control, CI/CD, and operational readiness. Ensure compliance with data governance, privacy, and security controls (RBAC ...

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. ...

intervention for standard use cases.Design data ingestion architecture (batch, micro-batch, and streaming) with clear boundaries for system-to-system integration.Define architecture for the semantic layer and self-serve analytics infrastructure.Provide input to data squads for complex data products and support Data Product Managers and Data Engineers where … platform roadmap from an architectural perspective, defining how the platform evolves over time (e.g., SAP BW transition/retirement path, Databricks maturation, Datasphere integration layer decisions).Contribute to enterprise architecture governance forums, representing data platform considerations in broader technology decisions.Provide architectural input to vendor and tooling decisions, evaluating technology ...

company's enterprise data warehouse. Responsibilities include: Dimensional modelling Star schema design Fact and dimension modelling Slowly changing dimensions Master data management Metadata management Semantic layer design Data lineage Business definitions Data quality controls You will ensure the warehouse becomes the trusted source for all business reporting. Data ...

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 ...

technical lead 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. ...

responsibility for the outcome. Strong experience with Databricks and Azure OpenAI, which underpin much of our delivery. Nice to have Ontology, knowledge graph or semantic layer experience. Delivery experience in pharma or CPG. Practical experience designing systems around EU AI Act requirements. Multilingual AI systems in production. ...

analytics solutions. Key Responsibilities Own end-to-end data architecture across Microsoft Fabric Lakehouse, Data Warehouse, Real-Time Intelligence, Data Factory, and Power BI semantic models , ensuring scalability, security, performance, and governance. Act as the Microsoft Fabric subject matter expert , defining standards, reference architectures, accelerators, reusable assets, and delivery … proposals, and present solutions to senior client stakeholders. Pre-sales experience is essential. Translate business requirements into target-state architecture, data models, ingestion frameworks, semantic layers, and enterprise reporting strategies. Guide engineering teams on implementation best practices, performance optimisation, cost management, CI/CD, DevOps, and operational readiness across ...

platform maturity. Responsibilities include: Leading end-to-end Tableau development across Tableau Desktop, Tableau Prep, and Tableau Cloud Designing and maintaining scalable data sources, semantic layers, and reporting solutions Defining and embedding Tableau development best practices across the business Building high-quality dashboards that deliver actionable business insights Writing ...

platform maturity. Responsibilities include: Leading end-to-end Tableau development across Tableau Desktop, Tableau Prep, and Tableau Cloud Designing and maintaining scalable data sources, semantic layers, and reporting solutions Defining and embedding Tableau development best practices across the business Building high-quality dashboards that deliver actionable business insights Writing ...

reference data, analytics and AI enablement), including transitional architectures.Define, embed and govern enterprise standards, patterns and reference architectures (data modelling, data integration, data products, semantic layers and AI data/knowledge patterns) to ensure consistency, interoperability and reuse.Engage key stakeholders (Information Security, Office of the General Counsel … embed controls (access, privacy, retention, usage restrictions, lineage and auditability) required for trusted data and Responsible AI.Identify reusable enterprise patterns (data products, canonical models, semantic definitions, feature/embedding reuse, RAG knowledge sources) and promote adoption across domains.Promote standardised approaches, technologies and ways of working with Data & AI colleagues ...

DoingAnalytics Engineering and Data ModellingDesign, build, and maintain analytics‐ready data models using dbt, following best practices such as modularity, reusability, and clear semantic layering.Lead the development of greenfield analytics assets, from raw source ingestion through to curated, business‐facing models.Apply strong data modelling techniques, including dimensional modelling, facts … dimensions, and other appropriate design patterns.Own and evolve the analytics layer architecture, ensuring it scales with data volume and business complexity.Ensure data quality and trust through testing, documentation, and observability within dbt.Business PartnershipPartner closely with business stakeholders, analysts, and product teams to understand requirements and translate them into well ...

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 ...

data sources. You'll have the opportunity to: Design scalable data architecture to support future growth and new data sources. Build intuitive data models, semantic layers, and reporting structures. Improve data quality, accessibility, and governance. Simplify complex data environments through clear documentation and data mapping. Troubleshoot and enhance data ...

configure AI-powered data management capabilities and agentic solutions.Enable AI-ready data by establishing standards for metadata, business glossaries, taxonomies, data products and semantic layers that support both trusted business consumption and AI model interoperability.Collaborate with architecture, engineering and platform teams to design target-state data architectures that enable ...

Report Modeller & Developer to join their Finance & Controlling MI team. As a Report Modeller & Developer, you'll design and develop data models, semantic layers, KPIs and reporting solutions that support operational reporting, business insight and strategic decision-making. You'll contribute to the migration from a legacy data warehouse … bring strong experience in data modelling, reporting, and analytics, with expert knowledge of SQL, Databricks, Azure Data Factory and Power BI, including DAX and semantic modelling. You'll have a solid understanding of Azure Data Lake architecture, ETL processes, dimensional modelling and modern reporting principles, with the ability ...

Senior Software Engineer (Backend/Full-Stack, AI-Native) About Us We're rethinking enterprise integration for developers and AI agents with a semantic layer: describe the data you need, and the platform gets it - fast, deterministic, secure, self-repairing, auditable, scalable. Already live with banks and financial ...

long-term operating model for Consumer Data Science as the organisation continues its transformation. The wider business is investing heavily across customer platforms, semantic layers, data infrastructure and enterprise transformation programmes, requiring an individual who is equally comfortable discussing modelling approaches, technology architecture and commercial outcomes. Perhaps most compellingly ...