21 of 21 Remote/Hybrid Semantic Layer Jobs

growing brand runs on. You will own what happens to data once it lands in our data warehouse, including transformation in Dataform, modelling, the semantic layer, and the reporting the business runs on. This is one of two engineering roles we are hiring into the Business Intelligence team. … behind it reflect how the business wants to measure itself, and every metric means one thing. What you will be doing Own the transformation layer in Dataform end to end: the models, dependency graph, tests and documentation between raw BigQuery data and everything the business sees. Build the semantic ...

myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Summary Reporting to the Executive Director, Semantic and Knowledge Engineering, the Associate Director, Semantic and Knowledge Engineering designs, builds, and governs enterprise semantic models, ontologies, taxonomies, business vocabularies, knowledge graphs … metadata services, and semantic APIs. The role enables AI, analytics, enterprise search, interoperability, retrieval-augmented generation (RAG), agentic AI, contextual search, and reasoning engines by embedding reusable semantic capabilities into products and workflows across Strategy, Platforms & Transformation. The ideal location for this role is East Hanover but remote ...

business community. Please do not contact the recruiter directly. Summary Reporting to the VP, Applied AI, Data Science, and Commercial Intelligence, the Executive Director, Semantic and Knowledge Engineering leads the strategy, architecture, and implementation of the enterprise semantic layer and knowledge engineering capabilities that power NovaOS. This … defined by the hiring manager. This position will require 10% travel. About the Role Key Responsibilities: Define and execute the enterprise strategy for semantic technologies, knowledge engineering, and knowledge graph capabilities. Lead the development and governance of enterprise ontologies, taxonomies, business vocabularies, and semantic models that establish ...

Tableau access management and application management Experience working with enterprise data discovery, analytics, and BI software tools such as Tableau, PowerBI and others for semantic-layer-based data discovery. Experience in enabling the BI self service capability for the organisation Experience and knowledge of big data platforms ...

based version control (GitHub or Bitbucket), pull requests and CI/CD.Experience integrating data from third-party APIs (e.g. Meta, LinkedIn, TikTok) Interest in semantic layer design and AI-enabled analytics (e.g. Conversational Analytics in Google Cloud).Canon Core Behaviours• Drive for results• Focus on the Customer• Take … systems; monitor pipelines, review code, resolve failed runs and data issues at the root cause, and collaborate with IT on any upstream changes required. Semantic Layers & AI-Enabled Self-Service: Build and maintain the semantic layers that allow Conversational Analytics agents in Google Cloud to interpret data correctly ...

migration from legacy data warehouse and reporting systems to a modern Azure Data Lake environment. You will design and develop scalable data models, semantic layers, calculations, KPIs and reporting solutions, working closely with Finance, Data Governance, IT and wider business stakeholders. Using technologies including Databricks, Azure Data Factory … this role, you will have strong experience with Databricks, Azure Data Factory and SQL, alongside a solid background in data modelling, schema design and semantic layer development. You will be confident developing Power BI dashboards and reports, with strong DAX knowledge and an understanding of Azure Data Lake ...

Data Engineering experience, ideally 10+ years Hands-on experience with Microsoft Fabric and/or Azure data services Strong expertise in data modelling and semantic layer design Experience building data platforms end-to-end Proven ability to work across the full data lifecycle through to Power BI Strong ...

future of travel with us About the RoleWe’re looking for an Analytical Engineer to help shape the trusted data models, metrics and semantic layers that power decision-making across On the Beach.This role sits at the intersection of data engineering, business intelligence and emerging AI capabilities. … Engineering, Analytics, Product, Commercial and Technology teams to create high-quality analytical data products.You’ll help define and maintain the business logic, metrics and semantic structures that sit between our data platform and the teams using data every day.You’ll be responsible for:Designing, building and maintaining trusted analytical ...

ensure safe, high quality, compliant codeYou’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 ...

spanning data engineering, analytics, machine learning, and Generative AI. Develop scalable lakehouse architectures using modern Databricks capabilities and governance frameworks. Define enterprise data models, semantic layers, security controls, and data governance standards. Architect ML, MLOps, and LLMOps platforms, including model deployment, monitoring, and AI governance. Facilitate client workshops ...

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 ...

engineers to build robust customer facing reportingCollaborate closely with engineers to assess and mitigate the impact of upstream product changesApply domain knowledge to develop semantic layers for business intelligenceMentor junior engineers and, teaching them the SDLC process and engineering best practicesSuccess in this role will depend most on your ...

Microsoft Fabric platform, covering everything from data ingestion to modelling. About the Role: Set the technical strategy and architecture across ingestion, transformation and semantic layers Own the platform's reliability, scalability and cost, and prioritise investment against business demand and risk Set data modelling and documentation standards ...

campaigns and initiatives.Contextualise shifts in performance against external factors such as market conditions, seasonality, product changes, and competitor activity.Add to the existing semantic layer, build accessible dashboards, and give teams across Gearset the tools to explore data independently.Champion the use of these tools across Marketing, promoting good data ...

Define, own and evolve enterprise grade data architectures, ensuring scalability, sustainability and alignment with client objectives. • Lead the design of cloud based data platforms, semantic layers, integration patterns and data models. • Establish governance standards, frameworks and principles that guide engineering teams. • Act as a trusted technical partner to clients … data platforms, orchestration, metadata management, CI/CD and architectural components such as DevOps. • Demonstrable experience architecting solutions using medallion architectures, including curated gold-layer models designed for analytics consumption. • Strong knowledge of unity catalog (or similar), data governance, lineage, cataloguing and metadata-driven design. • Awareness of cloud economics ...

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 ...

BI. Build self-service analytics capabilities that enable stakeholders to interrogate data independently. Use SQL and DAX to develop robust reporting solutions, views and semantic layers. Work with Azure Databricks and Microsoft Fabric across the BI environment. Maintain and improve existing analytical assets while ensuring reporting continuity. Translate stakeholder … skills covering querying, transformation and reporting layers. Experience using Azure Databricks to support BI and reporting workloads. Strong DAX skills and an understanding of semantic data models. Experience translating business requirements into intuitive reporting solutions. Experience working in Agile or sprint-based delivery environments. Understanding of data governance, data ...

impact on how data empowers the organisation. THE ROLE You'll join the data team to lead the design and delivery of a new semantic layer in Looker. You'll work with stakeholders across departments to translate business needs into performant, trusted data models using LookML and dbt. ...

logic. You will also play a key role in expanding into Ecom Analytics Engineering as we build out reporting marts and establish a new semantic layer.Beyond technical delivery, you will act as a pivotal liaison between Analytics Engineering, Product, and commercial stakeholders to define, govern, and migrate core Ecom … translating complex or ambiguous business requirements into well-documented technical metric definitions.Solid understanding of data modelling concepts and experience collaborating with Analytics Engineering on semantic layers and reporting marts.Excellent stakeholder management skills, with the ability to explain complex technical concepts to non-technical audiences.A self-starter mindset focused ...

remote-first basis across the UK. You will lead the design and delivery of complex client engagements spanning agentic systems, retrieval architectures and semantic layers, working directly inside enterprise client teams.Client demand for AI-led transformation is accelerating and our client is expanding its permanent engineering team across agentic … loopsBuild multi-agent architectures covering planning, delegation, tool use, memory, safety constraints and monitoringBuild retrieval and vector-based systems: embeddings, RAG, structured reasoning and semantic workflowsConnect agents to enterprise platforms through APIs, tools, MCP servers and connectorsApply ontologies or knowledge graphs where they improve reasoning and data alignmentPrompt engineering ...

foundations that make AI delivery faster, safer and easier to scale. Leading design and delivery teams to build AI-ready data foundations, platforms and semantic layers that provide trusted business context, reusable knowledge assets and reliable access to enterprise information for AI and analytics Designing and embedding engineering capabilities … human decision-makers, while supporting technology and platform decisions. Understanding of the foundations required to build trusted enterprise AI, including cloud data platforms, semantic layers, data products, AI evaluation, security, governance and responsible AI practices. Consulting & Client Leadership: Experience in consulting or client-facing roles, building trusted senior client ...