1 to 25 of 51 Remote/Hybrid Permanent Semantic Layer Jobs

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 ...

# Semantic Governance Managing Consultant - Ontologies and SemanticsBirmingham, Bristol, London, Manchester, Newcastle Bank HouseApply for this job* Permanent* Experienced Professionals* Data & AI* ID 529956-en\_GB## **Who You'll Be Working With**You will join the Data Trust Capability in Capgemini’s Insights and Data (I&D) business unit. … 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 ...

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 ...

data models across our modern data platform. This role combines strong hands-on modeling expertise with growing involvement in AI-forward data practices-including semantic layers, enriched metadata, and structured data descriptions that enable AI systems to work with enterprise data effectively. This position will operate … will be a critical partner in executing that vision-bringing strong modeling judgment, cross-system awareness, and a willingness to engage with modern semantic and AI-adjacent concepts. This is not a narrow, single-project role. This position thinks across the data lifecycle-from systems of record through ...

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 ...

answer real executive questions: Do we have the right amount of space? Is our hybrid policy working? Where can we save money? Own the semantic layer behind our insights: the shared metric definitions and data models that dashboards, APIs and AI assistants all draw from, so every number … SQL. You write your own queries to explore data, check a number and test a hypothesis without waiting for an analyst. You also understand semantic layers and metric stores, how LLMs answer questions over structured data (text-to-SQL, retrieval, agents and tool use), and where each approach breaks. ...

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 ...

Modelling), you'll be a specialist at the heart of our data engineering community, focused squarely on the craft of dimensional modelling and the semantic layer that turns raw data into a source of truth our teams rely on every day. From there, you'll spend your time … data models, getting the grain right first and building for the way the business will grow. Build the dbt layer. Craft the transformation and semantic layer in dbt that turns raw source data into trusted, well-documented business truth. Champion quality. Make data quality, testing and documentation first ...

Modelling)**, you'll be a specialist at the heart of our data engineering community, focused squarely on the craft of dimensional modelling and the semantic layer that turns raw data into a source of truth our teams rely on every day.**But the best models don't start … data models, getting the grain right first and building for the way the business will grow.**Build the dbt layer.** Craft the transformation and semantic layer in dbt that turns raw source data into trusted, well-documented business truth.**Champion quality.** Make data quality, testing and documentation first ...

want to change the status quo, we'll help you make your moment. Join Team Purple. Join IFS. Build and operate the interface, semantic layer and controls that let AI agents work inside IFS software safely. Key responsibilities Design and build MCP servers (Model Context Protocol, the emerging … backward compatibility as first-class design problems. Build the write path that lets an agent safely change a customer’s operational data. Build the semantic layer: an ontology and knowledge graph over the product, generated from what the platform already knows about itself and then curated industry ...

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 ...

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 ...

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 ...

assessment, roadmap, cutover, parallel-run validation, and decommission plans.Govern data modeling standards and patterns (dimensional star/snowflake, Data Vault, 3NF, wide-table designs), semantic layers (Snowflake semantic views, Horizon Context, BI semantic models), and data contracts for analytical and operational domains.Establish ELT/ETL and streaming … tuning (clustering keys, Search Optimization, materialized views, result caching, adaptive compute).Enable AI- and GenAI-ready architectures on Snowflake Cortex AI, agentic governance, and semantic layers for AI agents ensuring a governed, AI-ready data foundation.Partner with business, product, analytics, and engineering leaders to prioritize roadmaps and translate requirements ...

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 ...

related to data management. Design data structures that support reporting, dashboards, predictive analytics, and AI initiatives, including the support and design of a Universal Semantic Layer. Collaborate with Data Engineers, Data Analysts, and Business Intelligence teams to optimize data accessibility and usability. Support self-service analytics capabilities through well ...

high quality, compliant code You’ll coach and mentor Associate data engineers. You’ll create low to high complexity BI solutions including data mart, semantic layer, and reporting & visualisation solutions in recognised BI tools such as Power BI. Experience & knowledge Requires experience of designing and building ...

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 … optimisation, 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 ...

/Dagster), and manage IaC via Git and CI/CD pipelines Connect disparate datasets into well-managed data products, contributing to platform migration, semantic layers, and automation Own data quality, validation, reconciliation, automated failure detection, and schema validation Deliver changes to SOx-relevant data assets with change management ...