15 of 15 Semantic Layer Jobs in the UK excluding London

enabling trusted reporting in tools such as Looker, Power BI, and Tableau. This is a hands on role with real influence over modelling standards, semantic definitions, and how data is consumed across the business. Key responsibilities Data modelling and transformation Design and build Kimball style dimensional models and gold … layer marts using dbt Develop and maintain dbt pipelines that are performant, tested, and easy to use Partner with Data Engineers to shape upstream data structures and improve handoffs from ingestion to modelling Implement data quality testing using dbt tests and expectations frameworks Semantic layer and analytics ...

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 ...

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 ...

gold layers. Apply Kimball methodologies to deliver clean, scalable data models. Implement data quality frameworks and testing strategies. Own the design of the semantic layer for BI tools such as Looker or Power BI . Promote self-service analytics and data literacy across the business. ...

using tools such as SQL, Power BI, Databricks Skills & Experience: Strong SQL, Power BI and financial data modelling Experience working with enterprise data models, semantic layers, or governned data domains Proven experience partnering with senior finance and business stakeholders Strong communications skills with the ability to influence decisions ...

responsibilities: Lead customer onboarding for analytics platforms, delivering training and technical support. Enrich datasets for AI/LLM applications, including metadata management and semantic layers. Monitor Natural Language Query (NLQ) performance and implement optimisation strategies. Develop and maintain a strategic roadmap for platform scalability and accuracy. Design and develop ...

responsibilities: Lead customer onboarding for analytics platforms, delivering training and technical support. Enrich datasets for AI/LLM applications, including metadata management and semantic layers. Monitor Natural Language Query (NLQ) performance and implement optimisation strategies. Develop and maintain a strategic roadmap for platform scalability and accuracy. Design and develop ...

Strong experience in SQL and Power BI Solid background in financial and commercial data analysis Experience working with governed data models or enterprise semantic layers Comfortable partnering with senior Finance stakeholders Able to influence decisions through insight and storytelling Experience in at least one of the following domains: Finance ...

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 … 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 ...

design and development of complex, interactive dashboards (UI-based & LookML). Apply advanced LookML concepts (extends, refinements, templated filters, parameters, includes). Optimise semantic models and LookML performance. Implement data restriction functionality (sql_where, access_filters, row-level security). Establish and enforce governance and permissions , including multi-environment … deliver BI transformation projects, collaborating with executive-level customers. Required Qualifications 5+ years working with Looker and BigQuery. Strong proficiency in advanced LookML and semantic modelling. Experience in Looker performance tuning and model optimisation. Proven ability to develop complex dashboards with cross-filters, custom filters, and custom visualisations. Experience ...

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 ...

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 ...

Deep AI/Agentic Engineer to lead the design and delivery of the organisations complex AI-native engagements, from agentic systems to semantic layers. Pair hands-on technical leadership with client trust, shaping both enterprise outcomes and the firm's long-term engineering capability. Responsibilities: You will design … patterns, prompt frameworks, and evaluation loops. Multi-agent architectures, including planning, delegation, safety constraints, and monitoring. Retrieval & vector-based systems, embeddings, structured reasoning, and semantic workflows. Ontology & knowledge modelling literacy, enabling more precise reasoning and data alignment. Integrations & automation, including API workflows, tools, and enterprise connectors. Skills ...