1 to 25 of 52 Remote 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 ...

commerce, 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. 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 wantYou're an analytics engineer or data analyst with a rounded experience in data modelling and engineering ...

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 ...

this and fix it. That means you'll set the standards rather than inherit them. No legacy team, no committee, no five-year-old semantic layer you're not allowed to touch. Which cuts both ways. Take our unit economics. Revenue per household is a commercial assumption rather … agree, and you'd build the reconciliation and automated checks that keep them agreeing as we scale. Make self-serve work properly. A clean semantic layer, sensible naming, documentation people actually read, and a small set of dashboards trusted enough that nobody builds their own version ...

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 ...

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 … take approved metric definitions and business questions and turn them into the models and metric logic in Snowflake and dbt, 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 ...

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.**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 ...

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 ...

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 ...

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 ...

enabling Pandora's journey to become the world's leading jewelry company. What To Expect From The Role 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 ...

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 ...

performance-tuning skills. Experience following coding standards and performing peer code reviews. Data Modelling & Insight: Strong capability in designing intuitive, scalable data models and semantic layers aligned to business meaning; skilled in advanced data profiling, anomaly detection, and statistical reasoning to ensure data integrity. Collaboration: Able to influence senior ...

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 ...

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 ...

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 ...

standards, naming conventions, and documentation across the Corporate Data Intelligence domain* Collaborate with analytics and BI teams to ensure models support self-service analytics, semantic layers, and reusable data assets* Act as the liaison between business domain owners and the data platform team**Your Profile – Ready to Join ...

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 ...

depending on experience. You will own complex data/BI solutions from stakeholder engagement through to pipeline development, data modelling, semantic layers and Power BI delivery. This role focuses on building a modern data platform using Azure Databricks, Python, PySpark and SQL, tying together marketing, sales and operations data ...

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 ...