76 to 100 of 175 Semantic Layer Jobs in England

being deeply embedded across several domains, this role is for you! You're excited about this opportunity because you will... Own and evolve the semantic layer behind our BI platforms: LookML and Canvas BI models, metric and dimension definitions, and the governance that keeps them trusted Build … experience building in a BI platform such as Looker (LookML) or Sigma, modelling and configuring it, not only building dashboards in it Experience with semantic or metrics layers (LookML, dbt or similar): defining metrics and dimensions, and keeping those definitions consistent as they are reused Experience running what ...

being deeply embedded across several domains, this role is for you! You’re excited about this opportunity because you will... Own and evolve the semantic layer behind our BI platforms: LookML and Canvas BI models, metric and dimension definitions, and the governance that keeps them trusted Build … experience building in a BI platform such as Looker (LookML) or Sigma, modelling and configuring it, not only building dashboards in it Experience with semantic or metrics layers (LookML, dbt or similar): defining metrics and dimensions, and keeping those definitions consistent as they are reused Experience running what ...

controlled through to completion. Manage delivery of the end-to-end reporting pipeline from Salesforce into the Fabric-based data platform (ingestion, modelling/semantic layer alignment, refresh and reporting readiness). Manage a CRM (e.g., Zoho) to Salesforce data migration including data mapping, cleansing, migration planning, cutover ...

technologies: Python, pandas and SQL in Jupyter notebooks for analysis dbt and Databricks data platform with Delta Lake Lightdash as our BI tool and semantic layer Streamlit for interactive data applications Airflow for orchestration Kubernetes for application deployment CI/CD with GitHub and CircleCI Infrastructure ...

sources and improve the overall data environment. Key Skills: * Strong Snowflake and SQL experience * Advanced dbt, including modelling, testing and deployments * Dimensional modelling and semantic layers * Tableau and analytics enablement * Fivetran and/or Hightouch * ELT pipelines and modern data architecture * Git, CI/CD and software engineering practices ...

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 ...

design and engineering hygiene; take part in code/report reviews and knowledge‐sharing sessions. Work closely with Data Engineering on changes to the semantic/curated layer and data marts, ensuring analytics and business needs are reflected in platform design. Deliver complex analytics workstreams … 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: data modelling (star schemas), advanced DAX, Power Query/M, performance tuning, RLS, and deployment via pipelines. Understanding of Power ...

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 ...

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 ...

finance team that runs on data: driver‐level metrics, profitability models, pricing structures, and operational KPIs. This role exists to own the analytics layer that powers those decisions. As a Senior Data Analyst in the finance squad, you are responsible for how finance sees the business. … report into the centralised data team. You will work closely with the Senior Data Scientist in the squad, building the reporting and visibility layer on top of their simulation models. You will also work across squads, pulling the metrics they commit to the semantic layer and shaping ...

role focuses on analytics engineering rather than data engineering or data science, with dbt on BigQuery, cross-system integration, and ownership of the semantic layer. You will collaborate with Finance, Product, Operations, Compliance, Sales and the executive team to deliver timely regulatory reports and automated data workflows. #J ...

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 ...

fast-paced, distributed environment Nice to Have Experience owning or integrating with BI platforms such as Looker, Sigma or comparable tools, and familiarity with semantic layers such as LookML or dbt Experience automating identity and access through Okta, SCIM or role-based access controls, or building multi-tenant platforms ...

journey. Strong proficiency of SQL and advanced Python is required. Experience with modern data stacks, including dbt, data warehousing (e.g. Snowflake) and visualization/semantic layers like Lightdash or Looker. Ability to understand the underlying business logic of marketing and financials to ensure technical products are meaningful and actionable. ...

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 ...

Morrisons is seeking an Analytics Engineer to join our Data & Analytics team at our Head Office. You will shape data models and centralised semantic layers that power trusted reporting and data products across the business. You’ll translate complex business requirements into scalable data structures, mentor colleagues ...

solution. THE WORK Build Knowledge Graph components that contribute to transforming a client's data architecture. Design, develop, and implement AI and semantic solutions; ensure their work integrates cleanly with the broader system. Work alongside the project team and delivery leads. Build solid working relationships with client counterparts … their workstream. Help assemble the supporting evidence for the recommended semantic layer solution. Support Accenture sales efforts when called on. Keep developing skills in cutting-edge Data & AI solutions, especially agentic technologies, and shares with the team. BASIC (REQUIRED) QUALIFICATION Bachelor's degree or equivalent, plus at least ...

PySpark, lazy evaluation, partitioning, broadcast joins, and diagnosing partition skew Solid Azure data platform experience; familiarity with Azure Analysis Services or a comparable semantic layer is a plus Confidence engaging senior, non-technical stakeholders and translating between technical and business needs Experience working within Private Equity is highly ...

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 ...

What they're looking for Must-haves 5+ years' experience in data analytics. Advanced SQL skills. Strong BI experience (ideally Looker, Omni, or similar semantic-layer tools). Experience building dashboards and self-serve analytics solutions. Strong stakeholder engagement and communication skills. Ability to independently structure and deliver ...

promote adoption and identify high‐value use cases. Design and delivery of technical integrations, including MCP server, enterprise data catalog, analytics tools, and Semantic Layer, knowledge graph platforms such as PoolParty (Graphwise) Education & Experience: Undergraduate degree, preferably in computer science, maths or engineering. Master’s in Business Administration ...

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 ...

Role We are seeking an experienced Data Engineer with strong, hands-on expertise in Palantir Foundry to design, build, and optimize scalable data pipelines, semantic models, and data products. In this role, you will work closely with data scientists, analysts, product teams, and business stakeholders to deliver robust, production … federated data environments, handling diverse sources and complex integration requirements. Design, extend, and maintain Foundry ontologies, including object types, link types, property types, and semantic relationships. Build semantic layers that support analytics, operational workflows, and machine learning use cases. Embed strong data quality principles through validation checks, lineage ...

Role We are seeking an experienced Data Engineer with strong, hands-on expertise in Palantir Foundry to design, build, and optimize scalable data pipelines, semantic models, and data products. In this role, you will work closely with data scientists, analysts, product teams, and business stakeholders to deliver robust, production … federated data environments, handling diverse sources and complex integration requirements. Design, extend, and maintain Foundry ontologies, including object types, link types, property types, and semantic relationships. Build semantic layers that support analytics, operational workflows, and machine learning use cases. Embed strong data quality principles through validation checks, lineage ...