3 of 3 Semantic Layer Jobs in Central London

toward a clearer separation between Data Engineering, Analytics Engineering, and Data Product disciplines. This role will sit firmly in the Analytics Engineering function, focused on modelling and building the semantic layer that powers consistent, reliable insights across the company’s BI and data science platforms. This role will focus on the “middle layer", designing dimensional models, building … reusable dbt pipelines, and ensuring the semantic layer meets the needs of Power BI, Looker, and data science teams. There’s also the opportunity to stretch into data product work, partnering with stakeholders to understand and translate business requirements into robust data models. Key Responsibilities: Build and maintain well-structured, scalable data models using dbt and Kimball/… Medallion architecture. Develop and own the semantic layer, shifting calculations and business logic out of BI tools and into the model layer to drive consistency across Looker, Power BI, and other downstream consumers. Work closely with Data Engineers responsible for ingestion (from source systems to raw layers such as S3 or cloud storage), but focus your efforts More ❯

toward a clearer separation between Data Engineering, Analytics Engineering, and Data Product disciplines. This role will sit firmly in the Analytics Engineering function, focused on modelling and building the semantic layer that powers consistent, reliable insights across the company’s BI and data science platforms. This role will focus on the “middle layer", designing dimensional models, building … reusable dbt pipelines, and ensuring the semantic layer meets the needs of Power BI, Looker, and data science teams. There’s also the opportunity to stretch into data product work, partnering with stakeholders to understand and translate business requirements into robust data models. Key Responsibilities: Build and maintain well-structured, scalable data models using dbt and Kimball/… Medallion architecture. Develop and own the semantic layer, shifting calculations and business logic out of BI tools and into the model layer to drive consistency across Looker, Power BI, and other downstream consumers. Work closely with Data Engineers responsible for ingestion (from source systems to raw layers such as S3 or cloud storage), but focus your efforts More ❯

You will oversee the progression of their Databricks setup from proof-of-concept to production, ensuring high levels of optimization and scalability for global operations. Responsibilities include implementing a semantic layer for data management, developing data pipelines, and enabling real-time reporting and visualization. Post-platform deployment, the focus will shift to applying Data Science techniques to build More ❯