1 to 25 of 28 Semantic Layer Jobs in England

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 ...

Overview We are seeking a Senior Data Modelling Specialist to take ownership of enterprise-level data models and semantic design within a complex, multi-domain data environment. This role is pivotal in bringing clarity, structure and consistency to how data is defined, modelled and consumed organisation-wide. Please note … standards. Design and maintain: Conceptual, Logical and Physical Data Models. Entity Relationship Diagrams (ERDs). Common/canonical data models. Define and govern the semantic layer underpinning reporting and analytics. Act as the modelling authority across multiple business domains. Translate complex business concepts into clear, reusable data structures. ...

growing and increasingly sophisticated data function is looking for a Senior Analytics Engineer to take ownership of its analytics modelling layer and help lead the evolution of trusted, business-ready data. This role sits at the heart of reporting and decision-making, combining hands-on technical delivery with mentorship … leadership responsibilities. You’ll work across the full transformation layer, shaping scalable data models, setting best practice, and supporting the development of a high-performing analytics engineering capability. Responsibilities: You will: Own and develop dbt models across bronze, silver, and gold layers Design and maintain robust, well-optimised dimensional ...

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 ...

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 ...

code deployment. Pipeline Orchestration: Architect reliable data workflows (using platform-native schedulers) 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 … using SQL-based transformation frameworks (e.g. dbt or custom Python/SQL frameworks). Data Modelling: Knowledge of dimensional modelling concepts and experience designing semantic layers for BI tools. Infrastructure as Code (IaC): Hands-on experience provisioning and managing cloud infrastructure using IaC tools such as Terraform. DevOps ...

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 ...

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 ...

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 ...

such we’re aware that finding a single individual covering every area of expertise is unlikely. The ideal 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 ...

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 ...

with React Server Components Shadcn UI, Radix UI & Tailwind CSS - Utility-first CSS framework Data BigQuery - Cloud data warehouse Dataform - SQL transformation framework Cube.js - Semantic layer/analytics API Superset - Presentation layer Algolia/Vertex AI Search - Search PostgreSQL - App data Infrastructure & DevOps Google Cloud Platform ...

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. ...

/catalogue entries to ensure critical datasets have clear ownership, lineage, and business semantics. Support Agile Teams in applying consistent data modelling practices and semantic layer alignment. Data Quality & Controls Translate EDM policies into domain-specific rules and acceptance criteria. Partner with delivery teams to embed automated data … Banking domains, including products, processes, and regulatory requirements. Advanced data modelling expertise, including: Designing conceptual, logical, and physical models for complex financial domains. Applying semantic modelling for BI and analytics. Knowledge of normalization, denormalization, and performance optimization. Hands-on experience with modelling tools such as ERwin, PowerDesigner, or equivalent. ...

/catalogue entries to ensure critical datasets have clear ownership, lineage, and business semantics. Support Agile Teams in applying consistent data modelling practices and semantic layer alignment. Data Quality & Controls Translate EDM policies into domain-specific rules and acceptance criteria. Partner with delivery teams to embed automated data … Banking domains, including products, processes, and regulatory requirements. Advanced data modelling expertise, including: Designing conceptual, logical, and physical models for complex financial domains. Applying semantic modelling for BI and analytics. Knowledge of normalization, denormalization, and performance optimization. Hands-on experience with modelling tools such as ERwin, PowerDesigner, or equivalent. ...

essential) ESSENTIAL SKILLS (client comments) Leadership in abstract data modelling across the whole capital market domain (client, trade, market, risk), in particular silver and semantic layers Strategic prioritisation in the data domain Stakeholder management (business stakeholders but also e.g. data governance groups) That abstract data modelling requires quant-like ...

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 ...

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 click apply for full job details ...

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 ...

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 ...

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 ...