10 of 10 Remote Semantic Layer Jobs

enabling trusted reporting in tools such as Looker, Power BI, and Tableau. This is a hands on role with real influence over modelling standards, semantic definitions, and how data is consumed across the business. Key responsibilities Data modelling and transformation Design and build Kimball style dimensional models and gold … layer marts using dbt Develop and maintain dbt pipelines that are performant, tested, and easy to use Partner with Data Engineers to shape upstream data structures and improve handoffs from ingestion to modelling Implement data quality testing using dbt tests and expectations frameworks Semantic layer and analytics ...

including data security, data quality and data lineage. Other requirements include: Comfortable working in Microsoft Stack (Fabric, Azure, Power BI) Knowledge of ETL processes, semantic layers and tools like DBT Proficiency in Python for data manipulation and automation Ability to challenge assumptions and educate senior staff on data possibilities ...

including data security, data quality and data lineage. Other requirements include: Comfortable working in Microsoft Stack (Fabric, Azure, Power BI) Knowledge of ETL processes, semantic layers and tools like DBT Proficiency in Python for data manipulation and automation Ability to challenge assumptions and educate senior staff on data possibilities ...

data end to end. Responsibilities Analytics & Data Modelling Design, build, and maintain analytics-ready data models using SQL Define and maintain trusted metrics and semantic layers Translate business and analytical requirements into robust, reusable datasets Improve documentation and transparency of data flows and models Data Pipelines & Production Ownership Build ...

with enterprise architecture and data strategy. Lead the selection and integration of appropriate technologies and platforms (e.g., data lakes, warehouses, real-time processing, APIs, semantic layers). Data Product Development Collaborate with product managers and data teams to translate business needs into technical data product designs. Architect solutions that ...

architecture artifacts current (ArchiMate/Confluence). Define data integration patterns (batch/streaming) and canonical data contracts; set standards for APIs, events, and semantic layers. Drive data governance and observability (catalog, lineage, DQ rules, SLAs/SLOs) with tools such as Collibra/Purview; embed controls for privacy ...

Strong experience in SQL and Power BI Solid background in financial and commercial data analysis Experience working with governed data models or enterprise semantic layers Comfortable partnering with senior Finance stakeholders Able to influence decisions through insight and storytelling Experience in at least one of the following domains: Finance ...

quality, transformation, security, batch management, monitoring, alerting, and cost control are efficient. Design and help build the data platform – ensuring data is processed through semantic layers and can be modelled effectively. Suggest improvements for automation and cost savings. Lead changes across the organisation, adopting a decentralised design. Role: Principal ...

quality, transformation, security, batch management, monitoring, alerting, and cost control are efficient. Design and help build the data platform – ensuring data is processed through semantic layers and can be modelled effectively. Suggest improvements for automation and cost savings. Lead changes across the organisation, adopting a decentralised design. Role: Principal ...

orchestration, prompt frameworks, and evaluation loops Build multi-agent systems (planning, tool use, safety constraints, monitoring) Implement retrieval and vector-based architectures (RAG, embeddings, semantic workflows) Apply ontology and knowledge-modelling concepts for more precise reasoning Integrate APIs, tools, and enterprise systems Set the technical direction for your delivery … ability to ship production-grade code Experience with at least one major AI cloud ecosystem (AWS, Azure/OpenAI, GCP, Anthropic, etc.) Literacy in semantic modelling or ontology-driven thinking Comfortable in client-facing, delivery-focused environments You're Likely Someone Who Is: AI-native and deeply hands ...