26 to 50 of 167 Semantic Layer Jobs in England

Knowledge Graph solution scope that transforms data architecture for our most strategic and complex clients. Own the design, development, and implementation of AI and semantic solutions across the program. Partner with project leaders, delivery leads, and senior client stakeholders to create stand-out, graph-powered offerings. Develop trusted-advisor … relationships with senior client stakeholders. Make and defend the business case for the semantic layer solution at the executive level. Lead Accenture sales and pre-sales efforts and shape data transformation programs. Drive the practice's thought leadership, innovation, and asset development on trends and agentic technologies ...

analytics foundations behind our quality-risk scoring. Core Responsibilities Lead architectural decisions across backend, cloud infrastructure and data systems Own the data model, semantic layer and cross-customer comparability behind our analytics and scoring Lead the migration between our two live production systems, ensuring integrity and minimal disruption … backend and database expertise: relational, warehouse/lake, and non-relational Strong data modelling skills and experience building data pipelines Proficiency with SQL and semantic layer tooling (Cube or equivalent) Experience integrating and reconciling data from multiple sources Solid understanding of data integrity, security and governance Experience designing ...

hiring an analytics engineer to own analytical domains end-to-end, defining metrics in the semantic layer and modelling data with dbt. You will curate governed datasets for AI analytics and collaborate with stakeholders across operations, finance and supply chain. You will work with a modern cloud warehouse ...

merchandise group, is looking for an analytics engineer or data analyst to own analytical domains end-to-end. You will define metrics in the semantic layer with stakeholders, model data in dbt, and ensure trusted answers are produced wherever used. You will partner with operations, commercial, finance ...

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 ...

data governance maturity, providing actionable insights and recommendations to continuously elevate data management practices. Support governance of prioritized metrics and KPIs within the enterprise semantic layer, partnering with platform and analytics teams to ensure metric definitions align to governed data domains and standard business terminology. Partner with Privacy … e.g., Alation, Ataccama, Collibra) and data cataloging. Familiarity with cloud data platforms (e.g., Snowflake) and enterprise software applications relevant to governance tooling. Familiarity with semantic layer or metrics governance concepts (metric definitions, KPI standardization) preferred. Location Manchester, United Kingdom The #TeamGBT Experience Work and life: Find your happy ...

Strategy. The Data Scientist will strengthen how the Foundation uses Power BI, data science and AI to support better decisions, creating trusted reports, dashboards, semantic models and reusable datasets that help establish one version of the truth. Acting as a Data Services business partner across the Foundation, the postholder … with teams to understand analytical needs, defining requirements and translating business questions into clear analytical approaches. Design and develop trusted Power BI reports, dashboards, semantic models and reusable datasets, including star schemas, DAX measures, KPIs, calculation logic and documented business rules. Introduce AI in a practical, responsible and well ...

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 ...

into scalable, production-grade data, analytics and AI-enabled solutions. KEY ACCOUNTABILITIES Data Product Strategy and Commercial Value Define target-state data products and semantic layers for key Global Markets domains, including client, trade, market, position, risk and reference data. Identify use cases where governed data, analytics and automation … lineage, security and production robustness. Data Modelling, Governance and Controls Work closely with technical and quant teams on domain data modelling, canonical views, silver-layer enterprise views, data catalogues, lineage, metadata and critical data elements. Lead the design on data schemas, data storage, query apis and front to back ...

security and governance at storage and reporting layers. Oversee batch and incremental data loads, tuning performance to meet SLAs. Reporting & Analytics Develop Power BI semantic layers and maintain Power BI reports, including paginated and interactive dashboards. Support the migration of Cognos solutions into Power BI. Support self‐service analytics … within enterprise analytics platforms. Strong proficiency in Azure Data Factory, Synapse, and cloud data services. Expert‐level skills in data modelling, ETL processes, and semantic layer design. Advanced programming capabilities in SQL (T‐SQL/Spark SQL), Python, and PySpark. Hands‐on experience with Power BI (Desktop ...

architecture of our data platform alongside our Analytics Engineer — not just implementing designs, but making the calls on how ingestion, modelling, and the semantic layer should actually work. You'll also provide technical leadership across the wider data engineering team as we grow. What you can expect … data pipelines across multiple sources — with an eye on compute sizing and query performance Co-own architecture decisions across ingestion, modelling, and the presentation layer — defining how the platform should work, not just building to spec Design and evolve our medallion architecture (Bronze, Silver, Gold) as the platform matures ...

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 ...

work across the full data and BI lifecycle, owning complex solutions from initial stakeholder engagement and requirements gathering through to pipeline development, data modelling, semantic layers and Power BI delivery. You'll have the opportunity to: ·Design and build production-grade pipelines using Azure Databricks, Python, PySpark ...

grade machine learning or generative AI solutions. Experience with agentic development patterns, including tool use, workflow orchestration, and evaluation of agent behavior. Experience with semantic layers and ontology design, including defining consistent business concepts, relationships, and metadata for analytics and AI use cases. Relevant AWS AI certifications, such ...

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 ...

following technologies: Data Processing: Apache Spark/PySpark Workflow Orchestration: Apache Airflow Containerisation: Kubernetes Cloud Platform: Microsoft Azure Data APIs & Semantic Layer: CubeJS Programming Languages: Python, SQL Essential Skills & Experience Degree in a STEM discipline, ideally Computer Science, Software Engineering, or a related field. Minimum of 5 years … Experience designing and building scalable, production-grade data pipelines. Desirable Experience Experience working within cloud-native Azure environments. Knowledge of modern analytics platforms and semantic data layers. Previous mentoring or technical leadership experience. Apply If you're a passionate Senior Data Engineer looking to work on complex data challenges ...

data processing architectures that support AI-driven analytics, recommendations, forecasting, and intelligent automation. Optimise cloud data platforms for AI scalability, including data lakehouse architectures, semantic layers, and high-performance data retrieval patterns. Stays current with Snowflake features, best practices, and industry trends in cloud data platforms. Performs additional related ...

business domains and platforms Visualization, BI & Data Product Delivery Partner with analytics and product teams to deliver high‐quality datasets, dashboards, and visualization‐ready semantic layers Translate business requirements into scalable data models and consumption patterns for operational and executive insights Support adoption of data products by ensuring performance ...

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 ...

vision and hands-on execution of our next-generation Object-Centric Data Fabric . You will transition traditional application-centric architectures into a centralised semantic layer that seamlessly unifies multi-stream operational data—including Electronic Data Capture (EDC), patient telemetry, and real-world health datasets. In this role … optimization, and regulatory documentation. This allows you to focus on driving high-impact platform architecture. Data Fabric & Lake Architecture: Architect and evolve the enterprise semantic data fabric, converting multi-stream clinical execution datasets into an object-centric model. Design and execute a modern Data Lake strategy centred on Apache ...

trusted, accessible, and aligned with business objectives. Key Responsibilities: * Design and deliver scalable analytics and data engineering solutions. * Develop data models, transformation pipelines, and semantic layers. * Translate business requirements into robust, scalable data solutions. * Lead technical workshops and stakeholder discussions. * Drive data quality, testing, documentation, and governance standards. * Identify ...

collaborative development and version control. Familiarity with reporting/BI tools like Looker. Preferred Qualifications Python expertise for automation, integration, and orchestration Experience with Semantic layers Experience with orchestration tools like Airflow. Knowledge of modern software engineering practices applied to data (e.g., modularity, code review, testing). Our Vision ...

design, build and scale modern analytics capabilities. Working across a broad range of industries, they partner with clients to deliver cloud-based analytics platforms, semantic modelling, governance frameworks and AI-enabled analytics solutions.The business has built a strong reputation through delivery excellence, long-term client relationships and deep expertise … trusted consultant throughout the project lifecycle.Responsibilities include: Delivering analytics and data engineering solutions using Google Cloud, BigQuery, dbt and Looker Designing scalable data models, semantic layers and reporting environments Leading technical discussions and workshops with client stakeholders Advising on analytics strategy, governance and self-service reporting capabilities Managing multiple ...

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 ...

supports and serves communities through its operations across the UK, Pakistan and the Middle East. Responsibilities: Establish and own the 'Bestway Data Vault' and Semantic Layer standards. Define Group-wide Star Schema patterns, Snowflake object hierarchies, and modelling conventions that enable the Data Engineering team to deliver repeatable … ensure performance scales with business growth. Architect data structures specifically for LLM/GenAI consumption—including vector search optimization, embedding pipelines, and metadata-rich semantic views to support agentic AI initiatives. Partner with Business Analysts and Engineering to define 'Data Contracts'. Establish automated data quality frameworks (using ...