1 to 25 of 64 Semantic Layer Jobs in England

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. ...

Data Governance, AI & Analytics.Our Data Management practice is one of the largest and most successful in the UK, delivering innovative enterprise data, governance and semantic transformation programmes for global clients.The Enterprise Data Management capability provides services across Data Governance, Data Strategy, Metadata Management, Master Data Management, Data Architecture, Data … Quality and Data Products.As organisations increasingly seek to unlock business value through semantic interoperability, knowledge-driven architectures and AI-enabled data platforms, we help our clients establish enterprise semantic foundations that enable trusted, reusable and interoperable data assets.This role will be primarily focused on delivering the Semantic ...

cohort LTV, and quantify marketing's contribution to pipeline and bookings, in partnership with our GTM/RevOps analytics.Own marketing data models and the semantic layer. Author dbt models on BigQuery integrating HubSpot, Salesforce, Google Analytics and Amplitude, and own the Omni semantic layer so the team … optimisation and reusable datasets.dbt & a cloud data warehouse (BigQuery, Snowflake or similar) — commercial experience building production models, tests and docs.Modern BI with an integrated semantic layer — building self-serve dashboards and owning metric definitions (e.g. Omni, Looker, Thoughtspot).Deep knowledge of the marketing stack — HubSpot (or similar automation ...

schema fundamental to an FP&A analyst. Responsibilities Define and govern the modelling approach for the client's new data mart: schemaselection, grain, conformeddimensionsand semantic layer structure — with explicit focus on avoiding decisions that foreclose future analytical or AI use cases. Establish data science fundamentals and good practice … meaningful time in an advisory, lead or principal capacity where the deliverable was a recommendation rather than a model. Deepexpertisein dimensional data modelling, schemadesignand semantic layer architecture; able to articulate and defend the trade-offs between competing modelling approaches. Expert SQL; strong Python for analysis and validation. Practical ...

similar) and experience integrating with proprietary in-house metadata and event models. Proven design of federated (hub-and-spoke) metadata architectures: a central layer for identity, hierarchy and links, domain-level catalogues with rich local detail, and a clear contract between the two. Practical experience with data governance operating … models: ownership and stewardship roles, sensitivity classification, metadata quality measurement. Semantic layer design: business glossaries and concept registries, resolution of term conflicts between departments, entity resolution, knowledge graph modelling; design-level knowledge of graph databases. Strong consulting and client-facing skills: leading working sessions, defending design decisions ...

means a big push on our BI capabilities, covering new chart types, heatmaps, drilldowns and a reworked dashboard grid, plus targets and budgets, a semantic layer, and AI features including a chat over a customer's own data. What you’ll be doing Performance work. These are dashboards … transaction data, and speed is a feature. Targets and budgets: letting operators set goals per site, per revenue centre, and track against them. Our semantic layer, so metrics mean the same thing everywhere they're used. AI features: dashboard summaries, an AI chat over a customer ...

with business and technical stakeholders to shape solution design, governance, security and best-practice adoption. - Provide technical leadership across FDI deployments, data modelling and semantic layer configuration. - Lead the development and implementation of dashboard and enterprise reporting solutions. - Support the transformation of existing reporting and analytics capabilities into … strong experience in: - Oracle Fusion Data Intelligence (FDI) - Oracle Fusion Cloud Applications - Oracle Analytics Cloud (OAC) - Data analytics and enterprise reporting - Data modelling and semantic layer configuration - Reporting and dashboard solutions - Data integration strategies and architecture - Enterprise reporting and analytics transformations - Security, governance and Oracle Cloud best practices ...

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 ...

analytical insights and AI innovations, enabling Pandora's journey to become the world's leading jewelry company. Responsibilities Leading enterprise information architecture design, creating semantic, conceptual, logical models that engineering teams translate into Azure Synapse and Databricks based physical implementations. Architecting domain data models for commerce (store, consumer, marketing … omnichannel, e-commerce), manufacturing (production, quality, materials), and supply chain (wholesale, inventory, distribution, planning) that reflect business capabilities. Designing data product interfaces and semantic contracts that define how business entities flow through bronze-to-gold transformations, enabling interoperability between domain-owned data products. Developing semantic layer architectures ...

COPQ) and Demonstrate control environment improvements and reduction in toil to achieve benefits through common tooling and frameworks Uplift Existing Data - Uplift the metadata (semantic layer) of existing data to make it more valuable to users and AI applications (AKA "Brownfield" data enrichment) and Support AI and Natural ...

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 ...

failures Drive operational efficiency by eliminating the cost of poor data quality through common tooling, frameworks, and proactive control development Enrich the metadata and semantic layer of existing data assets to improve discoverability, usability, and value for AI applications and natural language query capabilities Accelerate adoption of mesh ...

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

volunteer roles, work experience, etc.)Technical Skill SetData Architecture & Platforms Cloud data platforms, SQL, ingestion pipelines (batch, streaming, CDC), ETL/ELT, data modelling, semantic layers, integration patterns, and the TCO trade-offs of building with hyperscalers vs. Salesforce. Deep familiarity with Informatica (IDMC) for enterprise data integration ...

initiatives. We need someone who can take a vague question from leadership, figure out the underlying business problem, model the data, build the semantic layer, and deliver self-serve insights that actually make sense. Your Impact Act as a "data domain holder" for 2-3 subject areas (e.g. … executive scorecards, dependency health, investment mix, or DORA performance) from raw data to final stakeholder presentation. Design, build, and document semantic layers that outlast you, abstracting complex data from tools like Jira and GitHub into simple, self-serve reporting. Contribute to the Engineering team with development tasks and test ...

coordinate monthly financial reports for C-suite Create, maintain and optimise reporting for various different streams of cost information Use dbt and create semantic layers to inform AI enabled dashboards, reports, and visualisations Analyse and interpret data to track and improve commercial and operational performance Collaborate with supply chain ...

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 ...

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 … 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 ...

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

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 ...

expertise with stakeholder management and consulting skills.Responsibilities include: Designing and delivering analytics solutions using Google Cloud, BigQuery, dbt and Looker Building scalable data models, semantic layers and analytics architectures Leading client workshops, requirements gathering sessions and technical discussions Advising stakeholders on analytics strategy, governance and best practice Managing multiple ...

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/curated layer and data marts. Delivering complex analytics work streams end-to-end; scoping, estimation, delivery, hand-over and post-implementation review. … insurance or finance environment. Advanced SQL, including query optimisation and working with the Azure data stack (Data Factory, Synapse/Fabric, SQL-based semantic layers). Advanced Power BI engineering skills: data modelling (star schemas), advanced DAX, Power Query/M, performance tuning and RLS, alongside sound engineering discipline ...

controlled through to completion. * Manage delivery of the end-to-end reporting pipeline from Salesforce into the Fabric-based data platform (ingestion, modelling/semantic layer alignment, refresh and reporting readiness). * Manage a CRM (e.g., Zoho) to Salesforce data migration including data mapping, cleansing, migration planning, cutover ...

RESPONSIBILITIES: The Senior Analytics Engineering Consultant will: Design and deliver analytics solutions using Google Cloud, BigQuery, dbt and Looker Build scalable data models, semantic layers and modern reporting environments Lead client workshops, discovery sessions and requirements gathering activities Manage multiple client engagements and balance competing priorities Lead technical discussions ...

connect analytical findings to business initiatives and measurable impact. Experience with modern data and analytics tools, such as data warehouses, dbt, BI tools, semantic layers, or dashboarding platforms. Strong communication skills and comfort working in ambiguous, fast-moving environments. Preferred Qualifications Proven ability to communicate recommendations to multiple senior ...