6 of 6 Semantic Layer Jobs in the UK excluding London

efficient data transformation workflows that empower the business with actionable insights and impactful visualisations. This role bridges the gap between data engineering and business intelligence by owning the transformation layer and enabling clear, trusted, and timely analytics across the organisation. The successful candidate will have a strong grasp of modern data modelling practices, analytics tooling, and interactive dashboard development …/Dash. Collaborating closely with stakeholders to understand reporting needs and translate them into analytical solutions. Ensuring high data quality, consistency, and documentation across business-critical datasets. Managing the semantic layer and ensuring data definitions are aligned across teams. Contributing to architecture and platform design decisions, especially regarding the analytics layer. Driving adoption of best practices in analytics … scaling modern data pipelines and transformation workflows (ELT), ideally within a cloud or lakehouse environment. Strong experience with data modeling techniques (e.g. dimensional, star/snowflake schemas) and analytics layer design to support business intelligence and self-serve reporting. Proficiency in analytics engineering tools such as airflow, SQL, and version control systems like Git. Hands-on experience developing dashboards More ❯

efficient data transformation workflows that empower the business with actionable insights and impactful visualisations. This role bridges the gap between data engineering and business intelligence by owning the transformation layer and enabling clear, trusted, and timely analytics across the organisation. The successful candidate will have a strong grasp of modern data modelling practices, analytics tooling, and interactive dashboard development …/Dash. Collaborating closely with stakeholders to understand reporting needs and translate them into analytical solutions. Ensuring high data quality, consistency, and documentation across business-critical datasets. Managing the semantic layer and ensuring data definitions are aligned across teams. Contributing to architecture and platform design decisions, especially regarding the analytics layer. Driving adoption of best practices in analytics … scaling modern data pipelines and transformation workflows (ELT), ideally within a cloud or lakehouse environment. Strong experience with data modeling techniques (e.g. dimensional, star/snowflake schemas) and analytics layer design to support business intelligence and self-serve reporting. Proficiency in analytics engineering tools such as airflow, SQL, and version control systems like Git. Hands-on experience developing dashboards More ❯

efficient data transformation workflows that empower the business with actionable insights and impactful visualisations. This role bridges the gap between data engineering and business intelligence by owning the transformation layer and enabling clear, trusted, and timely analytics across the organisation. The successful candidate will have a strong grasp of modern data modelling practices, analytics tooling, and interactive dashboard development …/Dash. Collaborating closely with stakeholders to understand reporting needs and translate them into analytical solutions. Ensuring high data quality, consistency, and documentation across business-critical datasets. Managing the semantic layer and ensuring data definitions are aligned across teams. Contributing to architecture and platform design decisions, especially regarding the analytics layer. Driving adoption of best practices in analytics … scaling modern data pipelines and transformation workflows (ELT), ideally within a cloud or lakehouse environment. Strong experience with data modeling techniques (e.g. dimensional, star/snowflake schemas) and analytics layer design to support business intelligence and self-serve reporting. Proficiency in analytics engineering tools such as airflow, SQL, and version control systems like Git. Hands-on experience developing dashboards More ❯

scalable, modular, reusable, and aligned 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 support data discoverability, governance, lineage More ❯

scalable, modular, reusable, and aligned 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 support data discoverability, governance, lineage More ❯

technology Extensive experience designing fact and dimension tables across domains such as policy, quote, claims, pricing, and fraud, ensuring consistency and alignment with business metrics Deep practical knowledge of semantic layer design and implementation using DBT, SQL, and Delta Live Tables Strong background in building high-performance, scalable data models that support self-service BI and regulatory reporting More ❯