21 of 21 Semantic Layer Jobs in the UK

Basic exposure to AI/ML concepts and willingness to learn tools like BigQuery ML, AutoML, or other GCP AI service Data Management Skills Semantic Modeling: Understanding of semantic layer concepts, business definitions, and logical data modeling Data Quality: Knowledge of data validation, cleansing, and quality assurance … experience needed. Professional Attributes Collaboration: Strong partnership skills for working with Data Engineering, Architecture, Governance teams Analytical Mindset: Logical approach to data modeling and semantic layer design Continuous Learning: Interest in emerging data technologies and AI applications in banking Attention to Detail: Critical for maintaining data accuracy ...

Basic exposure to AI/ML concepts and willingness to learn tools like BigQuery ML, AutoML, or other GCP AI service Data Management Skills: Semantic Modeling: Understanding of semantic layer concepts, business definitions, and logical data modeling Data Quality: Knowledge of data validation, cleansing, and quality assurance … experience needed. Professional Attributes Collaboration: Strong partnership skills for working with Data Engineering, Architecture, Governance team Analytical Mindset: Logical approach to data modeling and semantic layer design Continuous Learning: Interest in emerging data technologies and AI applications in banking Attention to Detail: Critical for maintaining data accuracy ...

function. The Role As a Senior Analytics Engineer, you will be responsible for transforming raw data into well modelled, business ready data marts and semantic layers. You will take ownership of dimensional modelling, dbt transformations, and core metrics that power BI tools used across the business. This role blends … multi market initiatives. Key Responsibilities * Design and own dimensional data models using Kimball methodology* Build and maintain dbt pipelines from raw to gold layer marts* Define and enforce modelling, testing, and documentation standards* Own elements of the semantic layer and core business metrics* Translate technical schemas into ...

impact on how data empowers the organisation. THE ROLE You'll join the data team to lead the design and delivery of a new semantic layer in Looker. You'll work with stakeholders across departments to translate business needs into performant, trusted data models using LookML and dbt. … first approach to data usability and access. KEY SKILLS AND REQUIREMENTS Extensive experience operating within Snowflake environments Advanced experience with Looker and LookML, including semantic layer modeling and dashboard design. Proficiency in SQL and dbt, with a strong understanding of data modeling best practices. Strong communication skills with ...

manipulation, analysis, and automation scripts.• Hands-on experience with Looker, LookML, and Power BI for reporting and visualisation.• Data management and analysis skills, including semantic modelling; understanding of semantic layer concepts, business definitions, and logical data modelling.• Strong analytical mindset with the ability to translate data into ...

testing, version control and code deployment. Pipeline Orchestration: Architect reliable data workflows to manage complex dependencies and ensure timely data delivery. Data Modelling & Quality Semantic Layer Design: Partner with the Business Systems Team to design optimised data models, ensuring seamless integration with downstream BI tools. Business Logic Standardisation … snapshots for data recovery and handling both batch and streaming data patterns. Transformation & Orchestration Data Build Tool: Strong experience using dbt for the transformation layer (cleaning, testing and documenting data models). Orchestration Tools: Experience designing and scheduling workflows using tools like Airflow, Prefect or platform-native tools. Infrastructure ...

scalable data pipelines using Azure Data Factory and Databricks to automate data ingestion, transformation, and processing workflows. Create and maintain dimensional data models and semantic layers that support business intelligence and analytics use cases. Build and optimise data transformation workflows using dbt, SQL, and Python to create clean, well ...

Building data pipelines in dbt , transforming data from bronze to gold layers using Kimball methodologies Implementing data quality frameworks and testing strategies Owning the semantic layer for BI tools such as Looker and Power BI Supporting self-service analytics and improving data literacy across the business Acting … Analytics Engineer or similar role Advanced SQL and data modelling skills Hands-on experience with dbt and modern analytics stacks Experience supporting BI and semantic layers Comfortable working in cross-functional team If you are interested in the role please apply. To follow please message me on LinkedIn ...

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 ...

aware that finding a single individual covering every area of expertise is unlikely. However, they idea candidate would have: Strong knowledge of semantic layer design and optimization (e.g., LookML, dbt, or similar frameworks). Hands-on experience integrating and fine-tuning Large Language Models (LLMs) for conversational analytics. ...

detail. Excellent communication skills (verbal, written, and presentation). Knowledge on SAP Analytics Cloud (SAC) modelling, story creation, dashboarding and SAP Datasphere (modelling, integration, semantic layer) shall be an advantage Knowledge or quick learning ability on SAP Analytics Cloud (SAC) Shall help in below Develop SAC stories, dashboards … requirements. Knowledge or quick learning ability on SAP Datasphere (formerly DWC) Build and manage Datasphere models, spaces, and data flows. Implement data integration and semantic modelling leveraging Datasphere capabilities. Work with BW Bridge or hybrid scenarios to support modern data warehousing architecture ...

some trips to client offices and HQ Lead the design and delivery of complex, AI-native client engagements, spanning agentic systems, retrieval architectures and semantic layers. This is a senior, hands-on consulting role combining deep technical leadership with strong client presence, shaping both client outcomes and the firms ...

London HQ per month Role Overview Lead the design and delivery of AI-native transformation initiatives for insurance clients, spanning agentic systems, retrieval architectures, semantic layers and decision intelligence click apply for full job details ...

working with a fast-growing, AI-native consulting business that is building production-grade data foundations to power modern AI systems - including knowledge graphs, semantic layers, retrieval systems, and agentic workflows. This role sits at the heart of that capability. It's not a traditional reporting or BI data … years) Excellent Python and SQL skills, with hands-on pipeline ownership Experience working with cloud data platforms (AWS, Azure, or GCP) Exposure to semantic modelling, knowledge graphs, or ontology-aligned data (depth can vary, mindset matters most) Comfortable working in ambiguous, client-facing environments with high ownership ...

working with a fast-growing, AI-native consulting business that is building production-grade data foundations to power modern AI systems - including knowledge graphs, semantic layers, retrieval systems, and agentic workflows. This role sits at the heart of that capability. It’s not a traditional reporting or BI data … years) Excellent Python and SQL skills, with hands-on pipeline ownership Experience working with cloud data platforms (AWS, Azure, or GCP) Exposure to semantic modelling, knowledge graphs, or ontology-aligned data (depth can vary, mindset matters most) Comfortable working in ambiguous, client-facing environments with high ownership ...

some trips to client offices and HQ Lead the design and delivery of complex, AI-native client engagements, spanning agentic systems, retrieval architectures and semantic layers. This is a senior, hands-on consulting role combining deep technical leadership with strong client presence, shaping both client outcomes and the firms … prompt frameworks and evaluation loops Multi-agent architectures, including planning, delegation, safety constraints and monitoring Retrieval and vector-based systems, embeddings, structured reasoning and semantic workflows Ontology and knowledge modelling literacy to enable precise reasoning and data alignment Integrations and automation via APIs, tools and enterprise systems Prompt engineering ...

some trips to client offices and HQ Lead the design and delivery of complex, AI-native client engagements, spanning agentic systems, retrieval architectures and semantic layers. This is a senior, hands-on consulting role combining deep technical leadership with strong client presence, shaping both client outcomes and the firm … prompt frameworks and evaluation loops Multi-agent architectures, including planning, delegation, safety constraints and monitoring Retrieval and vector-based systems, embeddings, structured reasoning and semantic workflows Ontology and knowledge modelling literacy to enable precise reasoning and data alignment Integrations and automation via APIs, tools and enterprise systems Prompt engineering ...

London HQ per month Role Overview Lead the design and delivery of AI-native transformation initiatives for insurance clients, spanning agentic systems, retrieval architectures, semantic layers and decision intelligence. This is a senior, hands-on consulting role combining deep AI engineering expertise with strong client-facing presence, shaping both … human-in-the-loop controls Retrieval and vector-based systems over policy wordings, endorsements, claims files, loss runs, underwriting guidelines and regulatory documentation Semantic layers, ontologies and knowledge models aligned to insurance data structures, coverage logic and risk taxonomies Integrations with core insurance platforms (claims systems, PAS, underwriting workbenches ...

London HQ per month Role Overview Lead the design and delivery of AI-native transformation initiatives for insurance clients, spanning agentic systems, retrieval architectures, semantic layers and decision intelligence. This is a senior, hands-on consulting role combining deep AI engineering expertise with strong client-facing presence, shaping both … human-in-the-loop controls Retrieval and vector-based systems over policy wordings, endorsements, claims files, loss runs, underwriting guidelines and regulatory documentation Semantic layers, ontologies and knowledge models aligned to insurance data structures, coverage logic and risk taxonomies Integrations with core insurance platforms (claims systems, PAS, underwriting workbenches ...

London HQ per month Role Overview Lead the design and delivery of AI-native transformation initiatives for insurance clients, spanning agentic systems, retrieval architectures, semantic layers and decision intelligence. This is a senior, hands-on consulting role combining deep AI engineering expertise with strong client-facing presence, shaping both … human-in-the-loop controls Retrieval and vector-based systems over policy wordings, endorsements, claims files, loss runs, underwriting guidelines and regulatory documentation Semantic layers, ontologies and knowledge models aligned to insurance data structures, coverage logic and risk taxonomies Integrations with core insurance platforms (claims systems, PAS, underwriting workbenches ...

evaluation loops. Build and maintain multi-agent architectures, including planning, delegation, tool use, safety constraints, and monitoring. Develop retrieval and vector-based systems, embeddings, semantic workflows, and structured reasoning pipelines. Apply ontology and knowledge modeling literacy to support precise reasoning and data alignment. Integrate AI systems with APIs, tools … design and orchestration (planning, delegation, tool integration). Evaluation frameworks, safety checks, and monitoring pipelines. AI Ops/observability experience. Familiarity with ontologies or semantic reasoning (literacy required). Critical Distinction: Candidates must be able to explain architectural trade-offs, discuss failure modes, demonstrate evaluation and reliability practices ...