1 to 25 of 33 Permanent Semantic Layer Jobs in England

goes to the questions that need real thought.You'll set the standards for how analytics is built here: governed metric definitions and a shared semantic layer so numbers agree across the business, a well-maintained data catalog and ontology so data assets are discoverable and trusted, version control … questions confidently and safely for themselvesPartner with the Data Science and Enterprise AI team to deliver AI-enabled self-service analytics, grounded in governed semantic views, so colleagues can query trusted data directly in natural language rather than waiting on bespoke reportingInsight and deliveryBuild and maintain lightweight data products ...

growing brand runs on. You will own what happens to data once it lands in our data warehouse, including transformation in Dataform, modelling, the semantic layer, and the reporting the business runs on. This is one of two engineering roles we are hiring into the Business Intelligence team. … behind it reflect how the business wants to measure itself, and every metric means one thing. What you will be doing Own the transformation layer in Dataform end to end: the models, dependency graph, tests and documentation between raw BigQuery data and everything the business sees. Build the semantic ...

Great Lakes Data & BI team, responsible for building and maintaining data products within the Azure Databricks lakehouse, including Silver and Gold table transformations and semantic layer outputs, and for diagnosing and resolving data issues arising from the data intake platform. Reporting to the Data & BI Lead, the successful … with medallion architecture, and comfortable contributing technical input into modelling discussions alongside IT Experience with Databricks, including Delta Lake; familiarity with Unity Catalog and semantic layer/consumption-layer tooling is a plus (Power BI & Databricks Dashboards) Power BI experience, able to build and maintain dashboards ...

ownership of our internal reporting tools and partner-facing data products, including OSP Insights. By establishing robust evaluation frameworks and aligning semantic architecture with business outcomes, you will ensure our global partners and internal stakeholders derive maximum value from certified operational data. Key Responsibilities: Define and execute the group … analytics, using Claude and Model Context Protocol (MCP) to enable self-serve access to certified data. Collaborate with Analytics Engineering to shape the unified semantic layer migration onto dbt MetricFlow. Establish evaluation frameworks, telemetry, and logging to rigorously assess AI accuracy, system performance, and metric trust. ...

Tableau access management and application management Experience working with enterprise data discovery, analytics, and BI software tools such as Tableau, PowerBI and others for semantic-layer-based data discovery. Experience in enabling the BI self service capability for the organisation Experience and knowledge of big data platforms ...

migration from legacy data warehouse and reporting systems to a modern Azure Data Lake environment. You will design and develop scalable data models, semantic layers, calculations, KPIs and reporting solutions, working closely with Finance, Data Governance, IT and wider business stakeholders. Using technologies including Databricks, Azure Data Factory … this role, you will have strong experience with Databricks, Azure Data Factory and SQL, alongside a solid background in data modelling, schema design and semantic layer development. You will be confident developing Power BI dashboards and reports, with strong DAX knowledge and an understanding of Azure Data Lake ...

optimization. Experience with cloud data platforms (e.g., Snowflake, Azure Synapse, BigQuery, Databricks). Expertise in data modeling concepts: star/snowflake schemas, dimensional modeling,semantic layers, and performance tuning at scale. Experience with Python or R for data wrangling and exploratory analysis. Analytical & Business Acumen Strong ability to decompose ...

following technologies: Data Processing: Apache Spark/PySpark Workflow Orchestration: Apache Airflow Containerisation: Kubernetes Cloud Platform: Microsoft Azure Data APIs & Semantic Layer: CubeJS Programming Languages: Python, SQL Essential Skills & Experience Degree in a STEM discipline, ideally Computer Science, Software Engineering, or a related field. Minimum of 5 years … Experience designing and building scalable, production-grade data pipelines. Desirable Experience Experience working within cloud-native Azure environments. Knowledge of modern analytics platforms and semantic data layers. Previous mentoring or technical leadership experience. Apply If you're a passionate Senior Data Engineer looking to work on complex data challenges ...

Snowflake technologies. Lead architecture decisions across data ingestion, transformation, governance, analytics, AI, and GenAI initiatives. Establish architectural patterns supporting Data Mesh, Data Lakehouse, Semantic Layer, Knowledge Graph, and Streaming architectures. Drive data readiness initiatives to support AI and Generative AI adoption. Partner with business and technology stakeholders across ...

data integration, migration or transformation, ideally involving General Ledger and financial reporting Deep understanding of data modelling, including dimensional modelling, normalisation/denormalisation and semantic layers Experience with Microsoft Azure, Fabric, ETL/ELT, data pipelines and Lakehouse/Warehouse architecture Ability to translate architecture into practical implementation plans ...

data integration, migration or transformation, ideally involving General Ledger and financial reporting Deep understanding of data modelling, including dimensional modelling, normalisation/denormalisation and semantic layers Experience with Microsoft Azure, Fabric, ETL/ELT, data pipelines and Lakehouse/Warehouse architecture Ability to translate architecture into practical implementation plans ...

services experience. Distributed computing environments. Streaming and low-latency data processing. Containerisation and orchestration technologies. Infrastructure-as-Code tooling. Exposure to AI-focused technologies, semantic layers or agentic architectures. ...

strong BI and reporting focus, with a meaningful element of data modelling and collaboration with Analytics Engineering. You will build trusted data pipelines, establish semantic layers with clearly defined metrics and design self-serve reporting. You will enable analysis at scale and help teams monitor performance, identify opportunities ...

doing Supporting solution architecture and technical design Building scalable, production-grade data platforms Designing modern lakehouse and ELT architectures Developing data models, pipelines and semantic layers Working directly with clients to understand requirements and shape delivery roadmaps What we're looking for 2–4 years' experience in data engineering ...

transformation programmes. What you'll be doing Supporting solution architecture and technical design Building scalable, production-grade data platform Developing data models, pipelines and semantic layers Working directly with clients to understand requirements and shape delivery roadmaps What we're looking for 24 years' experience in data engineering ...

architecture and roadmap for the Society's future data environment. Lead the development of a modern Azure based data platform. Establish robust data models, semantic layers and governance to create greater consistency and a single source of truth. Improve reporting, accessibility and self-service capability across the organisation. Champion ...

architecture and roadmap. Design, develop and optimise data pipelines, lakehouse and warehouse solutions to support reliable data delivery. Build and maintain scalable data models, semantic layers and reporting solutions. Work extensively with SQL, Python and the wider Microsoft data ecosystem. Develop and enhance Power BI reporting to provide meaningful … automation. Good understanding of lakehouse and data warehouse architectures. Experience developing and maintaining data pipelines and orchestration processes. Knowledge of Power BI, including semantic models, DAX and reporting. Experience with Git, CI/CD and modern software engineering practices. An understanding of data governance, security, quality and platform performance. ...

real-time data-processing solutions. Lead the design of a Customer Data Platform. Build and evolve a lakehouse architecture using AWS technologies. Create governed semantic models, consistent metrics and clear data definitions. Enable secure, self-service data analysis using modern AI tooling. Automate manual, repetitive or fragile data processes. … open table formats such as Iceberg. Medallion architecture and dimensional data modelling. Strong SQL and Python. SQL Server, SSIS/SSDT and Power BI. Semantic layers, common metrics and data glossaries. Data governance, lineage, retention, classification and auditability. Managing and developing a small technical team. You should also ...

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. ...

function that sets new standards for efficiency, innovation and business value.Working closely with central data teams and federated BI communities, you'll ensure reporting, semantic data models, analytics and insight solutions are delivered consistently, effectively and in line with organisational objectives, maximising business value from data and analytics investments.You … developers and analysts, promoting high standards of quality, performance, usability and governance. The role drives innovation, consistency and reuse across analytical products, semantic models and KPI frameworks, fostering a scalable, trusted and high-performing analytics ecosystem while championing modern BI, AI-assisted development and data-driven decision-making.We ...

curated, analytics-ready data within our Lakehouse environment. You'll translate complex business requirements into robust SQL and PySpark pipelines, own the data serving layer, and ensure data is well-modelled, governed, performant and ready for consumption across analytics and BI. You'll also provide technical leadership and mentorship … helping to establish best practices across the team. Key Responsibilities: Design and deliver dimensional and semantic data models for analytics. Define and maintain KPIs, conformed dimensions and consistent data definitions. Develop and optimise SQL and PySpark pipelines using Databricks. Ensure high standards of data quality, testing, performance and observability. ...

role in developing high-quality, analytics-ready data across its modern data platform. This is an opportunity to take ownership of the curated data layer within a Databricks Lakehouse environment, translating complex business requirements into robust data models and transformation pipelines that support reporting, analytics, and business decision-making. … Responsibilities: Lead the design and development of curated, analytics-ready dimensional and semantic data models. Build, maintain and optimise complex SQL and PySpark transformation pipelines within Databricks. Define and maintain KPI definitions, conformed dimensions and consistent business logic across data domains. Ensure data quality, integrity, testing, observability and performance ...

transformation programmes. What you'll be doing Supporting solution architecture and technical design Building scalable, production-grade data platform Developing data models, pipelines and semantic layers Working directly with clients to understand requirements and shape deli click apply for full job details ...

Lead will: Develop, optimise, and maintain Power BI dashboards and reports Enhance existing reporting solutions and self-service analytics capabilities Work with semantic layers and data models to ensure reporting accuracy and performance Write and maintain SQL and DAX to support reporting requirements Collaborate with stakeholders to gather requirements … Excellent SQL skills for querying, transforming, and structuring data Strong understanding of data modelling principles, including concepts such as star schema, Kimball methodology, and semantic modelling Experience developing and maintaining DAX measures and calculations Confidence engaging with stakeholders and translating business requirements into technical solutions Experience working within agile ...

data strategy, requirements and priorities. You will help define and drive the capabilities, patterns and practices needed to make enterprise data AI-ready, including semantic layers, knowledge graphs, and ontologies to ensure trusted, governed and scalable use of enterprise data by AI applications and agents. The successful candidate will … relevant experience across data and AI, including significant experience leading complex enterprise initiatives. Demonstrated experience designing or delivering AI-ready enterprise data capabilities, including semantic layers, knowledge graphs and ontologies. Strong practical understanding of modern AI technologies and architectures, including generative AI, large language models, retrieval approaches and agentic ...