3 of 3 Semantic Layer Jobs in the UK excluding London

learning, and self-service insights. Senior Analytics Engineer/Data Modeller Responsibilities Design, build, and maintain analytical and AI-ready data marts sourced from the enterprise data lakehouse. Develop semantic models and dimensional structures optimised for BI, dashboarding, and machine learning. Ensure documentation, governance, and data consistency across domains. Collaborate with data engineers to support robust ETL/ELT … and hands-on experience with platforms such as Snowflake, Azure Synapse, BigQuery, or Redshift. Deep understanding of Data Vault, Kimball, and dimensional modelling techniques. Experience designing data marts and semantic layers for BI tools (Power BI, Tableau, Looker). Familiarity with analytics engineering tools including dbt, Airflow, and Git for version control. Excellent collaboration and communication skills, with strong More ❯

Senior Data Engineer (OLAP/Semantic Modelling) | 6 Month Contract | £550-600 p/day | Outside IR35 We're seeking a highly specialised Data Engineer with deep expertise in OLAP, Tabular, and Multidimensional modelling to join a technology-driven organisation on a long-term contract. If you have strong SSAS, semantic modelling, and Excel cube integration experience - this … role is for you . This is a hands-on, onsite position where you'll architect and optimise analytical models, build high-performance data pipelines, and design robust semantic layers that directly power business-critical reporting and Excel-based analysis. Required Skills: OLAP, Tabular, Semantoc Layer Expertise: Advanced SSAS Tabular & Multidimensional modelling (MUST have) Proven experience designing semantic layers , calculated measures, perspectives, hierarchies, partitions, aggregation strategies Strong Power BI semantic model understanding (datasets, relationships, optimisation) Ability to dynamically load data into Excel using OLAP cubes - essential Expert in DAX/MDX , cube optimisation, processing strategies Data Engineering & SQL: Strong expertise with MSSQL Server (schema design, tuning, indexing, profiling) Advanced SQL and dimensional data modelling (SCDs, fact More ❯

main brand. As part of this, they're building a central database spanning multiple datacubes across commercial, advertising, and revenue functions. They previously worked with advisory specialists to create semantic layers, but there are gaps in how this translates into clear, usable insight - which is why they need a strong analyst to take ownership of the visualisation and logic More ❯