1 to 25 of 28 Remote/Hybrid Semantic Layer Jobs in London

modelling is at the heart of this role. You’ll shape the layered warehouse model, define the grains and conformed dimensions, and design the semantic layer that connects real business questions to reliable answers. You’ll own the architecture end to end, including data contracts with Engineering, multi … build on. What you’ll be doing Own the analytics data architecture end to end, including layers, modelling conventions, data contracts and the governed semantic layer. Build the foundational curated layer yourself, creating dimensional models with clear grain, conformed dimensions and the flexibility to answer cross-subject business ...

manufacturing, fulfilment, and finance systems. We build on a modern, warehouse-native stack — Snowflake, dbt, and Dagster — and we're working towards a governed semantic layer so trusted metrics are defined once and consumed everywhere: dashboards, self-service tools, and AI assistants. This role exists to own analytical … domains end-to-end. Defining their metrics in the semantic layer with stakeholders, data modelling in dbt, and making sure a KPI resolves to the same trusted answer wherever it's consumed. The person we want You're an analytics engineer or data analyst with a rounded experience ...

Product, Engineering, Risk, Finance, Investment, Marketing — to understand the problems they’re actually trying to solve, then design and ship the pipelines, models, and semantic layer that solve them. You’ll also help shape how we use AI-enabled tooling to make the whole analytics function faster … some of it is being rebuilt, and some of it hasn’t been decided yet. If you have informed opinions about orchestration, ingestion, testing, semantic layers, or BI — we want to hear them. Who thrives here We’ve pitched this at mid to senior level , but the honest position ...

over 100 nationalities, all committed to delivering the future of business spending, together. Please note: About the role Growth Intelligence owns the commercial data layer that powers Pleo's GTM engine — acquisition, retention, propensity modelling, and customer health. The team supports RevOps, Customer Experience, Customer Success, and senior commercial … Stack Data Analyst, you are the senior technical voice for commercial analytics at Pleo. You set the architectural direction for Growth Intelligence's analytics layer, define what good looks like for the team, and shape how GTM data is structured, governed, and consumed by people and increasingly ...

About the role We are looking for a Senior Analytics Engineer to join Analytics & Insights, the team that owns Material Bank's analytics data layer, internal reporting, and data products that support our teams and brand partners. This is a hands-on technical role for someone who wants … will take approved metric definitions and business questions and turn them into the models and metric logic in Snowflake anddbt, the dashboards, and the semantic layer and data products people use every day. You will own the analytics engineering for key areas of the business: understanding what needs ...

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 ...

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 ...

will lead a team of 8-10 people across Data Engineering, Analytics and AI. You will own the data platform, semantic layer, analytics estate and AI enablement agenda, while working closely with business and technology leaders across Hyve. Your immediate priorities will be to complete and embed … standard Hyve semantic data model; rationalise hundreds of duplicated reports into the core tens that matter; enable genuine stakeholder self‐service; and champion meaningful generative and agentic AI use cases across the business. This is a strategic and hands‐on leadership role. You will combine data architecture, engineering, analytics ...

data meets UK GDPR and partners' residency requirements. Model data for self-serve and AI – extend our 600+ model dbt project and design the semantic layer that lets Product, Partnerships and Delivery and other teams query governed data, including in natural language. Raise quality and engineering standards – extend … data residency or sovereignty requirements, or working with government data classifications. Experience connecting governed data to AI tools or natural language interfaces, or building semantic or metrics layers. Experience working directly with clients or partner technical teams on data delivery. Don't meet every requirement? Studies show that women ...

workflows, event-driven services or messaging-based systems. Familiarity with cloud data platforms such as Snowflake, BigQuery, Redshift or Databricks, or with BI and semantic-layer concepts. Experience working with multi-tenant systems, row-level access controls, PII or GDPR-sensitive data. Experience supporting a migration from legacy ...

engagement, and the optimisation of existing reporting solutions. Key responsibilities include: Enhancing and maintaining existing Power BI dashboards and reporting solutions Developing and supporting semantic models and data layers that underpin reporting Translating business requirements into scalable reporting and data models Working closely with stakeholders to understand reporting needs … Skills & Experience You will bring strong commercial experience in: Power BI development across both front-end reporting and back-end modelling Data modelling and semantic layer design SQL for data querying and transformation DAX development and performance optimisation Stakeholder engagement and requirements gathering Communicating technical concepts ...

loss ratio, so we understand the risk and commercial impact of what we ship, not just conversion Own metric definitions and contribute to our semantic layer, helping ensure the business works from a consistent version of each number Collaborate with BI and Data Engineering colleagues on analytical ...

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 ...

bind every Data Product: metadata and data contract specifications, output port and schema design, data product versioning, DQ requirements, SLA and SLO declarations, and semantic layer conventions Champion data quality, lineage, observability and governance, ensuring checks, SLAs and alerting are expressed as code and monitored in production rather ...

numbers people can act on. What the role involves dbt on BigQuery, day to day. Model design, data quality, the source-of-truth layer, and every change that lands in it. Joining the business together across systems. Our CRM, ledgers, operational tools, and compliance systems each hold part … keys and different definitions. Resolving them into one coherent model is central to the role. Leading our Lightdash to Omni migration , then owning the semantic layer and everything built on it. Regulatory and compliance reporting. Recurring submissions and the models behind them, against externally fixed deadlines. Partnering with ...

scalable, secure, and responsible AI solutions that leverage Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), Agentic Frameworks, Knowledge Graphs, Semantic Layers, Vector Databases, and Cloud AI services.This role will act as the bridge between Business, Product, Engineering, Data, Security, Risk, and Technology teams … StudioAzure AI FoundryVertex AIBedrockDatabricks AISnowflake CortexExperience building enterprise AI assistants and autonomous agents.Experience with Text-to-SQL and conversational analytics.Experience with Knowledge Management and Semantic Layer technologies.We are a Disability Confident Employer:Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government ...

modelling, testing, and documentation standards the data function depends on. You will innovate on how people work with data, building the agentic tooling and semantic modelling that let teams across Planday work from trusted data with confidence. What You’ll Do Set the architectural direction of our data platform … analytics, product engineering, and AI/ML from one coherent design, collaborating with Platform and ML engineering on shared infrastructure. Design the dbt models, semantic layer, and quality standards the data function depends on, with the validation and lineage to make them trustworthy downstream. Own orchestration and observability ...

metric definitions and actually use them Practical experience with AI in data work, such as AI‐assisted pipeline development, natural‐language analytics on a semantic layer, or AI evaluation data Clear communication with senior stakeholders, from leadership and board reporting to engineers What we offer in return Competitive ...

focus on new modelling and experimentation. Turn models and metric definitions created by Data Scientists into robust, reusable production components on our shared semantic layer. Help define and evolve our MLOps standards, covering versioning, model registry practices, documentation and handover. Partner with Data Engineers on upstream pipelines and Data ...

role focuses on analytics engineering rather than data engineering or data science, with dbt on BigQuery, cross-system integration, and ownership of the semantic layer. You will collaborate with Finance, Product, Operations, Compliance, Sales and the executive team to deliver timely regulatory reports and automated data workflows. #J ...

Make sure AI runs in a safe, governed environment, with our data in the best possible shape (access, privacy and responsible use) Own the semantic layer as the single place we define our metrics, used by our BI tool, Claude and every agent we build Build in evals ...

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 … coordinate a complex set of competing needs. What you'll own 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 themselves. Direction ...

consistent, joinable and open. Platform Engineering builds and operates the platform. Software teams identify and publish facts they own. This role owns the reporting layer: the single, trusted set of business measures and definitions the rest of Pod reports from. Teams across the organisation, from operations to sales … capability as a shared, well-governed core, working closely with software engineering and architecture. Data Standards & Reporting You’ll own Pod’s governed reporting layer: the single, trusted set of business measures and their definitions that the rest of Pod reports from. You’ll set standards for data analyst ...

Product Engineering teams, and drive reliable ingestion, modelling, and orchestration to support data-driven features for customers globally. You will design dbt models and semantic layers, own Dagster orchestration, onboard new data sources at scale, and advance self-serve analytics with agentic workflows and #J-18808-Ljbffr ...