101 to 125 of 175 Semantic Layer Jobs in England

solution. THE WORK Build Knowledge Graph components that contribute to transforming a client's data architecture. Design, develop, and implement AI and semantic solutions ensure their work integrates cleanly with the broader system. Work alongside the project team and delivery leads. Build solid working relationships with client counterparts … their workstream. Help assemble the supporting evidence for the recommended semantic layer solution. Support Accenture sales efforts when called on. Keep developing skills in cutting-edge Data & AI solutions, especially agentic technologies, and shares with the team. BASIC (REQUIRED) QUALIFICATION Bachelor's degree or equivalent, plus at least ...

solution. THE WORK Build Knowledge Graph components that contribute to transforming a client's data architecture. Design, develop, and implement AI and semantic solutions; ensure their work integrates cleanly with the broader system. Work alongside the project team and delivery leads. Build solid working relationships with client counterparts … their workstream. Help assemble the supporting evidence for the recommended semantic layer solution. Support Accenture sales efforts when called on. Keep developing skills in cutting-edge Data & AI solutions, especially agentic technologies, and shares with the team. BASIC (REQUIRED) QUALIFICATION Bachelor's degree or equivalent, plus at least ...

dedicated Analytics Engineer in London, hybrid. You’ll blend data engineering, analytics engineering, and business partnership to turn raw data into trusted models and semantic layers for decision-making. You’ll collaborate with Product, Engineering, Risk, Finance, Investment, and Marketing to design pipelines, models, and governance, while shaping ...

Engineer to scale our data platform and empower data-driven decisions across the business. You will co-own architecture for ingestion, modelling, and the semantic layer, while guiding a growing data engineering team. You'll work with Databricks, governance in Unity Catalog, and build self-service patterns ...

understand requirements and translate them into scalable technical solutions Driving improvements around data lineage, observability, modelling standards and platform governance Supporting AI readiness programmes, semantic layer initiatives and self-service data capabilities YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Data Platform Architecture or Data Solutions ...

Data Architect to govern the Enterprise Data Architecture and Snowflake governance, owning the Bestway Data Vault. The role defines group-wide standards, patterns, and semantic layers to deliver reliable data products. The ideal candidate has 10+ years in data engineering/architecture with 4+ years Snowflake specialization, Data Vault ...

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 and curated layer and data marts. Delivering complex analytics workstreams end-to-end, and working within an Agile framework to break down requirements … broker or specialty (re)insurer. Advanced SQL, including query optimisation and working with the Azure data stack(Data Factory, Synapse/Fabric, SQL-based semantic layers). Advanced Power BI: data modelling (star schemas), advanced DAX, Power Query/M,performance tuning, RLS and deployment via pipelines. Astrong understanding ...

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 ...

performance, media ROI, trade effectiveness, sales analytics and category growth.* Advise on modern data foundation principles, including data governance, standardisation, metadata, lineage, quality, interoperability, semantic layers, data products and reuse.* Support the design of scalable data operating models, including ownership, stewardship, governance forums, decision rights and adoption mechanisms.* Bring ...

would struggle to find anywhere else in this industry. You will sit between data engineering and the business. That means turning commercial questions into semantic models, curated datasets and reusable data assets that leaders across EMEA and APAC rely on, working with our engineers on the upstream design that … would struggle to find anywhere else in this industry. You will sit between data engineering and the business. That means turning commercial questions into semantic models, curated datasets and reusable data assets that leaders across EMEA and APAC rely on, working with our engineers on the upstream design that ...

real-time data-processing solutions. Lead the design of a Customer Data Platform. Build and evolve a lakehouse architecture using AWS technologies. Create governed semantic models, consistent metrics and clear data definitions. Enable secure, self-service data analysis using modern AI tooling. Automate manual, repetitive or fragile data processes. … open table formats such as Iceberg. Medallion architecture and dimensional data modelling. Strong SQL and Python. SQL Server, SSIS/SSDT and Power BI. Semantic layers, common metrics and data glossaries. Data governance, lineage, retention, classification and auditability. Managing and developing a small technical team. You should also ...

real-time data-processing solutions. Lead the design of a Customer Data Platform. Build and evolve a lakehouse architecture using AWS technologies. Create governed semantic models, consistent metrics and clear data definitions. Enable secure, self-service data analysis using modern AI tooling. Automate manual, repetitive or fragile data processes. … open table formats such as Iceberg. Medallion architecture and dimensional data modelling. Strong SQL and Python. SQL Server, SSIS/SSDT and Power BI. Semantic layers, common metrics and data glossaries. Data governance, lineage, retention, classification and auditability. Managing and developing a small technical team. You should also ...

more important than ever! As Director of Data Products, you will own the platform, the products, the tools, the processes and the self-serve layer, so that the answer arrives before the request does. You will be a force-multiplier for the quality, velocity and impact of Multiverse … with senior stakeholders across the org to coordinate a complex set of competing needs. Data leverage across Multiverse The platform, products and self-serve layer that ~800 people use to find, understand and act on our data — reducing the dependency on Data & Insight to answer questions others could answer ...

structure, and that's why most enterprise AI is failing. The shift from copilots to autonomous agents is creating an entirely new infrastructure layer, and we're building it. zaimler is the context infrastructure for the agentic era: a platform that automatically discovers domain knowledge, maps relationships, and gives … agents the semantic understanding to operate with precision at scale. Imagine knowledge graphs that support real-time inference, built for systems that need to reason, not just retrieve. zaimler was founded by Biswajit Das (ex-VP Engineering, Truera), a Data Infra veteran and former Chief Architect at Visa ...

will provide design authority across conceptual, logical, and physical data models, collaborating with engineering and domain teams to deliver scalable, compliant data products and semantic layers that support enterprise AI initiatives. #J-18808-Ljbffr ...

seeking a Senior BI Developer/Analyst to own data domains end-to-end, from raw data to stakeholder-ready insights. You will design semantic layers and deliver self-serve reporting across delivery, quality, investment, and AI adoption metrics. You will collaborate with engineering leadership, shape metrics, and mentor ...

deprecation and change communication — with multiple consumer teams. Working knowledge of modern data-consumption patterns (REST/GraphQL APIs, event streams, Data Mesh products, semantic layers) and how to select the right pattern per use case. Track record driving adoption of shared services across multiple consuming teams, including measurable ...

deprecation and change communication — with multiple consumer teams. Working knowledge of modern data-consumption patterns (REST/GraphQL APIs, event streams, Data Mesh products, semantic layers) and how to select the right pattern per use case. Track record driving adoption of shared services across multiple consuming teams, including measurable ...

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 ...

retail, financial services, healthcare, or telecom. Experience taking clients from AI experimentation to scaled, governed adoption. Familiarity with context engineering concepts: RAG, semantic layers, knowledge bases, MCP. An existing network and reputation in the US data & AI market. Why you should join us We are united by our values ...

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 and 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 ...

culture of innovation and experimentation, negotiating decision rights, setting clear evidence standards, and encouraging testing over instinctual decision‐making. Manage AI Foundations: Own the semantic and context layers for Last Mile, ensuring business definitions and metric logic remain accurate so AI‐generated outputs align seamlessly with real‐world operations. … History of working alongside data science or machine learning functions, understanding how to bridges analytics and operational modeling. Modern Data Tooling Experience: Exposure to semantic layer tooling, data cataloguing, or AI evaluation frameworks. Benefits We believe in supporting our people with meaningful, flexible benefits that prioritise well‐being ...

process high‐volume sportsbook events (bets, pricing, settlements). Curated data assets powering trading analytics, risk monitoring, and customer personalisation models. Integration with semantic layers, BI tools, and machine learning platforms. Data governance and metadata tooling to improve transparency, trust, and reuse across the organisation. Your Experience 5+ years … Nice to Have Experience in sports betting, trading, or financial data domains. Familiarity with event‐driven architectures and real‐time data products. Experience with semantic layers (e.g. Cube.js) or metrics‐layer design. Exposure to data governance and metadata tools (e.g. OpenMetadata, Hive Metastore). Experience supporting machine learning ...

data platform end-to-end, ensuring accuracy before it reaches the business. You will own the warehouse, the dbt project and semantic layer, and Lightdash dashboards, shaping a single source of truth for KPIs. You’ll report to the Data Lead, collaborate with the CFO, and work ...

will turn raw, disparate data into governed models that drive decision-making across Product, Engineering, Risk, Finance, Investment, and Marketing. You’ll design pipelines, semantic layers, and AI-enabled tooling, shaping the data stack as it modernises. #J-18808-Ljbffr ...