25 of 25 Semantic Layer Jobs in the South East

enjoys turning complex business challenges into scalable, trusted, and reusable data products. You'll play a key role in defining and building a governed semantic layer that enables self-service analytics, reporting, applications, and AI-driven solutions. Key Responsibilities Translate business requirements into well-structured data models, including … conformed dimensions, facts, and metric definitions. Design, build, and maintain transformation pipelines using dbt and Snowflake , orchestrated through Airflow . Create and manage semantic models and metrics layers to ensure consistent reporting and analytics across the organisation. Partner closely with business stakeholders to understand decision-making requirements and deliver ...

similar) and experience integrating with proprietary in-house metadata and event models. Proven design of federated (hub-and-spoke) metadata architectures: a central layer for identity, hierarchy and links, domain-level catalogues with rich local detail, and a clear contract between the two. Practical experience with data governance operating … models: ownership and stewardship roles, sensitivity classification, metadata quality measurement. Semantic layer design: business glossaries and concept registries, resolution of term conflicts between departments, entity resolution, knowledge graph modelling; design-level knowledge of graph databases. Strong consulting and client-facing skills: leading working sessions, defending design decisions ...

cloud-based Lakehouse platform using Microsoft Fabric Building scalable and reliable data pipelines using a Medallion architecture approach Designing robust data models and semantic layers across multiple business domains Establishing engineering best practices, governance frameworks and development standards Managing and developing a small team of data engineers Partnering with … stakeholders across the organisation to translate business requirements into scalable data solutions Enabling high-quality downstream reporting, analytics and Power BI semantic models Supporting long-term data innovation and AI initiatives across the organisation YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Strong expertise in dimensional data ...

work across the full data and BI lifecycle, owning complex solutions from initial stakeholder engagement and requirements gathering through to pipeline development, data modelling, semantic layers and Power BI delivery. You'll have the opportunity to: ·Design and build production-grade pipelines using Azure Databricks, Python, PySpark ...

business domains and platforms Visualization, BI & Data Product Delivery Partner with analytics and product teams to deliver high‐quality datasets, dashboards, and visualization‐ready semantic layers Translate business requirements into scalable data models and consumption patterns for operational and executive insights Support adoption of data products by ensuring performance ...

complex business problems through data, from understanding requirements to delivering analytical solutions . Translate business needs into clear and scalable data models and our semantic layer , ensuring technical solutions align with our long-term platform design and methodologies . Build and maintain robust data transformations and models ...

trusted, accessible, and aligned with business objectives. Key Responsibilities: * Design and deliver scalable analytics and data engineering solutions. * Develop data models, transformation pipelines, and semantic layers. * Translate business requirements into robust, scalable data solutions. * Lead technical workshops and stakeholder discussions. * Drive data quality, testing, documentation, and governance standards. * Identify ...

design, build and scale modern analytics capabilities. Working across a broad range of industries, they partner with clients to deliver cloud-based analytics platforms, semantic modelling, governance frameworks and AI-enabled analytics solutions.The business has built a strong reputation through delivery excellence, long-term client relationships and deep expertise … trusted consultant throughout the project lifecycle.Responsibilities include: Delivering analytics and data engineering solutions using Google Cloud, BigQuery, dbt and Looker Designing scalable data models, semantic layers and reporting environments Leading technical discussions and workshops with client stakeholders Advising on analytics strategy, governance and self-service reporting capabilities Managing multiple ...

expertise with stakeholder management and consulting skills.Responsibilities include: Designing and delivering analytics solutions using Google Cloud, BigQuery, dbt and Looker Building scalable data models, semantic layers and analytics architectures Leading client workshops, requirements gathering sessions and technical discussions Advising stakeholders on analytics strategy, governance and best practice Managing multiple ...

Coaching analysts and BI developers on SQL, DAX, data modelling, visual design and engineering hygiene. Working closely with Data Engineering on changes to the semantic/curated layer and data marts. Delivering complex analytics work streams end-to-end; scoping, estimation, delivery, hand-over and post-implementation review. … insurance or finance environment. Advanced SQL, including query optimisation and working with the Azure data stack (Data Factory, Synapse/Fabric, SQL-based semantic layers). Advanced Power BI engineering skills: data modelling (star schemas), advanced DAX, Power Query/M, performance tuning and RLS, alongside sound engineering discipline ...

RESPONSIBILITIES: The Senior Analytics Engineering Consultant will: Design and deliver analytics solutions using Google Cloud, BigQuery, dbt and Looker Build scalable data models, semantic layers and modern reporting environments Lead client workshops, discovery sessions and requirements gathering activities Manage multiple client engagements and balance competing priorities Lead technical discussions ...

take ownership of the organisation's data architecture strategy, ensuring alignment with the wider data vision while defining and governing data models, standards and semantic layers across the business. Key responsibilities include: Designing and governing enterprise-wide data models across Bronze, Silver and Gold layers within a Medallion Architecture. … Creating scalable curated data models using dimensional modelling and Kimball methodologies. Defining semantic data layers, standards and governance practices that ensure consistency, quality and efficiency across the data platform. Managing logical and physical data models, metadata, business glossaries and data flows across the organisation. Partnering with Data Engineers, Analytics ...

Data, Tech and Business teams to deliver analytical solutions from requirements to deployment. You will translate business needs into scalable data models and a semantic layer, build robust dbt models in BigQuery, and deliver dashboards driving data-driven decisions. You'll ensure data quality across sources, promote ...

decision-making, with close collaboration across product, data, and business teams. The organisation is investing heavily in its analytics capabilities, including platform modernisation, semantic layer development, and AI-enabled analytics experiences. This role offers the chance to influence strategy while remaining hands-on with technical delivery. The Role … analytics initiatives across the organisation. Help define and deliver the future-state vision for analytics and reporting capabilities. Drive the development of scalable semantic layers, data models, and metric frameworks. Establish best practices for governance, data quality, and analytics standards. Partner with Product Analytics teams to ensure consistent ...

build a data-driven culture across the organisation. Key responsibilities include: Designing, building and maintaining scalable data pipelines Developing and improving the data warehouse, semantic layer and reporting environment Supporting analytics, reporting and dashboard development across commercial teams Integrating new data sources, including subscription and operational data Driving ...

understand requirements and translate them into scalable technical solutions Driving improvements around data lineage, observability, modelling standards and platform governance Supporting AI readiness programmes, semantic layer initiatives and self-service data capabilities YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Data Platform Architecture or Data Solutions ...

reporting solutions. Responsibilities include: Developing end-to-end Tableau solutions across Tableau Desktop, Tableau Prep, and Tableau Cloud Designing and maintaining scalable data sources, semantic layers, and reporting frameworks Promoting Tableau development best practices and supporting consistent delivery standards Building high-quality dashboards that provide actionable business insight Writing ...

understand requirements and translate them into scalable technical solutions Driving improvements around data lineage, observability, modelling standards and platform governance Supporting AI readiness programmes, semantic layer initiatives and self-service data capabilities YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Data Platform Architecture or Data Solutions ...

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. ...

engage a senior data architecture leader for a global investment management client headquartered in London. The role focuses on building federated metadata architectures, semantic layers, and knowledge graphs to enable AI-powered data discovery in regulated financial environments. You will work with enterprise data catalogues and metadata standards, guiding ...

gold layers within a Medallion Architecture. Create scalable curated data models using dimensional modelling, star schemas, facts and dimensions, and Kimball methodologies. Define semantic data layers, modelling standards, and governance frameworks to improve consistency, quality, and reusability. Manage logical and physical data models, including metadata, business glossaries, data flows … SKILLS AND EXPERIENCE: Strong hands-on experience in Data Architecture and Data Modelling within enterprise-scale environments. Excellent knowledge of dimensional modelling, star schemas, semantic layers, and Kimball methodologies. Experience designing and implementing curated data models within cloud-based data platforms. Strong understanding of logical, physical, transactional, analytical ...

candidate will combine strong analytical thinking with advanced SQL engineering capability, and will have experience designing analytics-ready datasets used by BI tools or semantic layers. This is not a pipeline engineering role; we are looking for someone experienced in building analytical data models that define consistent business metrics … business stakeholders. Contribute to the development of reusable data assets and consistent analytical definitions. Support the evolution of the organisation's analytics data layer and self-service reporting capability. Essential Skills Advanced SQL skills with experience engineering complex analytical transformations. Proven experience building analytical data models used ...

both current reporting and future analytical use cases. Key responsibilities include: Designing and governing enterprise-wide data models across Medallion Architecture layers. Creating curated semantic and analytical data models using dimensional modelling and Kimball methodologies. Defining data modelling standards, governance frameworks, and data feed specifications. Collaborating with Data Engineers … Modelling within large-scale enterprise environments. Dimensional modelling, star schemas, facts and dimensions, and Kimball methodologies. Designing and implementing Medallion Architecture frameworks. Building curated semantic layers within modern cloud data platforms. End-to-end data modelling from source systems through to analytics and reporting layers. Defining and implementing data ...

commercial impact. The Role * Drive innovation across analytics, identifying opportunities to leverage AI, automation, and modern analytics tooling. * Help define and implement strategies for semantic layers, self-service analytics, and metric governance. * Improve technical standards, ensuring analytics solutions are scalable, reliable, and consistent. * Partner with Data, Product, Engineering … engineering, data strategy, or a related field. * Advanced SQL and data modelling skills, with strong knowledge of modern analytics tools and platforms. * Experience developing semantic layers, metric frameworks, and self-service reporting capabilities. * Knowledge of tools such as dbt, MetricFlow, LookML, or equivalent technologies. * Strong understanding of analytics architecture ...

ROLES AND RESPONSIBILITIES: The Senior Analytics Manager will: Drive analytics innovation through AI, modern tooling, and evolving data platforms Define and implement strategies for semantic layers, metric governance, and self-service analytics Improve technical standards, scalability, and consistency across analytics practices Partner with senior leaders to shape the future … analytics, business intelligence, analytics engineering, or data strategy Advanced technical capabilities across analytics tools, coding, data modelling, and analytics architecture Experience working with semantic layers, metric governance, and self-service analytics environments Knowledge of modern data stack technologies, with exposure to dbt considered highly advantageous Demonstrated ability to influence ...