10 of 10 Semantic Layer Jobs in the City of London

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 ...

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 ...

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 ...

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. ...

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 ...

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 ...

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 ...

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 ...

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 ...

chemical markets get intelligence, and this role owns the platform foundations that make it possible. You will define the AI-ready data strategy, semantics layer, and MCP-first distribution approach that powers internal product teams, partner integrations, and AI-native customer experiences. This is a highly influential individual contributor … stakeholders to accelerate adoption, integrations, and commercial opportunities Requirements A track record shipping platform capabilities that others build upon, such as APIs, data products, semantic layers, evaluation frameworks, or comparable platform primitives Experience owning platform strategy, roadmap, and delivery outcomes in data, AI, developer platform, or similarly technical product ...