26 to 50 of 81 Semantic Layer Jobs in England

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

help develop well-structured, reliable data models that power reporting, analytics, and decision-making across the organisation. You'll work across the full transformation layer, shaping clean, trusted datasets and helping bring clarity to complex raw data. If you want to deepen your dbt and SQL expertise, work with … ensure transformations are reliable and well-structured Contribute to data quality checks, testing suites, and documentation of models and pipelines Assist in shaping the semantic layer for BI tools, ensuring definitions, metrics, and logic align with business needs Collaborate with Analysts, Data Engineers, and product teams to clarify ...

analytics platform in line with the company's rapid growth. Qualifications & Experience Essential Advanced SQL skills with strong data modelling expertise (facts, dimensions, semantic layers). Experience working with modern cloud data warehouses (e.g. BigQuery, Snowflake, Redshift). Hands-on experience with analytics engineering tools (e.g. dbt). Strong ...

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 ...

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 ...

reporting and analytics requirements. Design and deliver interactive dashboards, reports, and planning models using SAP Analytics Cloud. Architect scalable and performant data models and semantic layers in SAP Datasphere. Integration & Architecture Ensure seamless integration with S/4HANA modules (Finance, Ariba, SuccessFactors, Concur) and Azure Fabric. Define and implement … across Finance, Procurement, HCM, and Travel domains. Hands-on experience with Azure Fabric, data lakes, and cloud-native integration patterns. Expertise in data modeling, semantic layer design, and real-time data integration. Demonstrated ability to engage with end users, gather requirements, and deliver impactful reports and dashboards. Familiarity ...

reporting and analytics requirements. Design and deliver interactive dashboards, reports, and planning models using SAP Analytics Cloud. Architect scalable and performant data models and semantic layers in SAP Datasphere. Integration & Architecture Ensure seamless integration with S/4HANA modules (Finance, Ariba, SuccessFactors, Concur) and Azure Fabric. Define and implement … across Finance, Procurement, HCM, and Travel domains. Hands-on experience with Azure Fabric, data lakes, and cloud-native integration patterns. Expertise in data modeling, semantic layer design, and real-time data integration. Demonstrated ability to engage with end users, gather requirements, and deliver impactful reports and dashboards. Familiarity ...

reporting and analytics requirements. Design and deliver interactive dashboards, reports, and planning models using SAP Analytics Cloud. Architect scalable and performant data models and semantic layers in SAP Datasphere. Integration & Architecture Ensure seamless integration with S/4HANA modules (Finance, Ariba, SuccessFactors, Concur) and Azure Fabric. Define and implement … across Finance, Procurement, HCM, and Travel domains. Hands-on experience with Azure Fabric, data lakes, and cloud-native integration patterns. Expertise in data modeling, semantic layer design, and real-time data integration. Demonstrated ability to engage with end users, gather requirements, and deliver impactful reports and dashboards. Familiarity ...