101 to 125 of 196 Semantic Layer Jobs in England

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 ...

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 ...

stakeholders across the business. As Zopa continues to align Analytics Engineering to business domains, we are embedding domain ownership, ensuring our data models and semantic layers reflect real-world business boundaries and needs. The Role This is ahands-on technical leadership rolefocused on raising standards, shaping technical direction ...

scalable data products (dashboards, models, internal tools) that enable stakeholders to self-serve insightsHelp teams interact more directly with data (e.g. through better abstractions, semantic layers, or AI-powered interfaces)Raise the bar for how AI is used within RAD- sharing patterns, workflows and best practicesCraft clear, compelling data ...

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 ...

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 ...

scalable, reusable, market-adaptable and aligned with enterprise data architecture. Partner with engineering and architecture teams to ensure the right ingestion, harmonisation, modelling, semantic layer and visualisation approaches are applied. Ensure consumer data products can support both descriptive and advanced analytics use cases, including segmentation, propensity modelling, personalisation … stories, acceptance criteria, backlog prioritization, roadmap development, and Agile delivery practices. Knowledge of consumer data platforms and data architecture, including data ingestion, harmonization, modeling, semantic layers, reporting, and analytics enablement. Experience delivering data products that support marketing activation, customer insights, personalization, segmentation, reporting, and decision-making. Strong understanding ...

Responsibilities Lead delivery of the Microsoft Fabric/Power BI data platform Manage the Salesforce-to-Fabric reporting and data pipeline Coordinate ingestion, modelling, semantic-layer alignment and reporting readiness Lead CRM-to-Salesforce data migration planning and execution Own project plans, milestones, dependencies, RAID and decision logs ...

strategy and influence data governance at scale Involvement in a major cloud migration programme Exposure to emerging areas such as AI-enabled analytics and semantic layer development Clear progression within a structured framework How to Apply If you are an expert in Tableau, apply below ...

strategy and influence data governance at scale Involvement in a major cloud migration programme Exposure to emerging areas such as AI-enabled analytics and semantic layer development Clear progression within a structured framework How to Apply If you are an expert in Tableau, apply below ...

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 ...

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 ...

technical lead 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. ...

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. ...

fast-paced, distributed environmentNice to HaveExperience owning or integrating with BI platforms such as Looker, Sigma or comparable tools, and familiarity with semantic layers such as LookML or dbtExperience automating identity and access through Okta, SCIM or role-based access controls, or building multi-tenant platforms across brands ...

detection. A good deal of useful work is not generative.Data and platform foundations. Pipelines and orchestration, lakehouse and streaming patterns, data contracts and quality, semantic layers and lineage. Data foundations often set the limit on what a client can do with AI.Cloud and operations. Hands-on experience with ...

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 ...

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 ...

responsibility for the outcome. Strong experience with Databricks and Azure OpenAI, which underpin much of our delivery. Nice to have Ontology, knowledge graph or semantic layer experience. Delivery experience in pharma or CPG. Practical experience designing systems around EU AI Act requirements. Multilingual AI systems in production. ...

performance, media ROI, trade effectiveness, sales analytics and category growth.* Advise on modern data foundation principles, including data governance, standardisation, metadata, lineage, quality, interoperability, semantic layers, data products and reuse.* Support the design of scalable data operating models, including ownership, stewardship, governance forums, decision rights and adoption mechanisms.* Bring ...

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 ...

solution.THE WORKBuild 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 on 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) QUALIFICATIONBachelor's degree or equivalent, plus at least 3 of the following:Experience with Knowledge Graph technologies ...