4 of 4 Semantic Layer Jobs in the North of England

development and consumption. Drive cultural shift towards self service analytics while maintaining governance and control. Design and lead the creation of a certified, reusable semantic layer/data marketplace in Azure. Partner with data engineering and modelling teams to deliver business-ready datasets aligned to analytics use cases. … Power BI. Perform deep analysis of existing Tableau reports, calculations, parameters, filters, and visual interactions. Translate Tableau logic into Power BI (DAX, Power Query, semantic models) while improving usability and performance. Rationalize reports to eliminate redundancy and improve insight quality. Work closely with business stakeholders to understand reporting needs ...

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. Lead changes across the organisation, adopting a decentralised design. Role: Lead Data Engineer Salary ...

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 ...

Looking for a role with real impact rather than endless firefighting? You will design, build and maintain ETL and ELT pipelines , lakehouse structures and semantic models using Microsoft Fabric's Dataflows Gen2, Notebooks, Spark SQL and Python. Your work will ensure data is accessible, trusted and well governed across … across data quality, lineage, observability and compliance. What you'll be doing Building end‐to‐end data pipelines and Fabric‐based lakehouse solutions. Creating semantic layers using star schema modelling and DAX. Embedding monitoring, lineage and data quality into pipelines. Integrating data from APIs, CRM/ERP systems ...