76 to 100 of 170 Semantic Layer Jobs in England

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 ...

record of building and running production data pipelines across relational and NoSQL sources. Strong SQL and Python, and an orchestration framework. Proficiency in building semantic models and reports using tools such as PowerBI. Practical familiarity with using AI tools to support development and workflows. A background in building semantic … programmes or standards like FHIR, HL7 and SNOMED CT. Data contracts or other shift-left approaches to data quality. Preparing data for AI use: semantic layers, metadata, vector databases or exposing data to AI agents. Using AI-assisted tools to build, test or document pipelines, and judging when their ...

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 ...

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 ...

Comply is seeking a Senior AI Data Engineer to turn semantic data models into knowledge graphs, vector search, and LLM-powered pipelines. You’ll own the delivery of semantic layer components and work with data engineers, architects, and our ontologist to ensure AI-ready data products ...

changes its API without telling anyone. The domain's models, from staging through to the marts analysts and business teams actually query, plus the semantic meaning that sits on top of them. Nobody at the centre can define what a qualified signup means in paid media. You can. Reverse … what we are looking for. Our stack What you will build on MotherDuck/DuckDB · dbt · Dagster · DLT · Python · SQL · AWS · reverse ETL and semantic layer tooling We do not expect you to have worked with all of these. If you have built production pipelines on Snowflake, BigQuery ...

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 ...

campaigns and initiatives. Contextualise shifts in performance against external factors such as market conditions, seasonality, product changes, and competitor activity. Add to the existing semantic layer, build accessible dashboards, and give teams across Gearset the tools to explore data independently. Champion the use of these tools across Marketing ...

Make sure AI runs in a safe, governed environment, with our data in the best possible shape (access, privacy and responsible use) Own the semantic layer as the single place we define our metrics, used by our BI tool, Claude and every agent we build Build in evals ...

Jupyter notebooks for analysis, and for scripting dbt and Databricks data platform with Delta Lake Lightdash as our BI tool and semantic layer Streamlit for interactive data applications Airflow/Orchestra for orchestration Kubernetes for application deployment CI/CD with GitHub and CircleCI Infrastructure on AWS, deployed ...

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 ...

understanding of how AI capabilities are embedded within existing business systems and workflows.* Exposure to data platform architecture (Snowflake, medallion/lakehouse patterns, semantic layers) and how governed enterprise data enables AI at scale.* Track record of leading enterprise transformation through influence — driving adoption, managing change, and building cross ...

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. ...

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 ...

dedicated Analytics Engineer in London, hybrid. You’ll blend data engineering, analytics engineering, and business partnership to turn raw data into trusted models and semantic layers for decision-making. You’ll collaborate with Product, Engineering, Risk, Finance, Investment, and Marketing to design pipelines, models, and governance, while shaping ...

transformation and orchestration pipelines Integrate data from finance, CRM and other operational platforms Define the target architecture across lakehouse or warehouse storage, transformation and semantic layers Create robust dimensional and semantic data models Deliver high-quality Power BI dashboards for board, financial, operational and divisional reporting Standardise KPIs ...

chain. Lead the development and expansion of scalable data pipelines supporting both structured and unstructured claims data. Scale and enhance a Claims ontology and semantic layer that connects structured and unstructured data into a unified business knowledge model, improving discoverability, interoperability, and AI readiness. Collaborate with regional Claims ...

like SSRS, Power BI, QlikView etc. Work with the reporting architect to influence the design of the base data model as well as the semantic layer Cater communication around complex technical problems and solutions to audiences ranging from business users to data and technology teams About You Advanced ...

commercial case for the practice in proposals, extensions and new scope. This includes turning Discovery engagements into migrations and expanding into BI and semantic-layer work. 5. Partners and internal work Act as the technical lead in joint pursuits with Snowflake, Databricks, dbt and Fivetran, and feed what ...

Depop is hiring an Engineering Manager – Data & Analytics Engineering to lead a multidisciplinary team delivering scalable data models, pipelines, and semantic layers powering analytics and AI-driven decision making. You will collaborate with Data Science, Platform, and Product leadership to set strategy and ensure high‐quality, trustworthy data assets. ...

executives on data and analytics strategy.Designing target-state SAP Business Data Cloud, SAP Datasphere and SAP Analytics Cloud architectures.Establishing enterprise reporting, data governance and semantic modelling frameworks.Leading analytics assessments, maturity reviews and transformation roadmaps.Defining data products, business semantic layers and enterprise information models.Providing architectural oversight across multiple delivery ...

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. ...

would struggle to find anywhere else in this industry. You will sit between data engineering and the business. That means turning commercial questions into semantic models, curated datasets and reusable data assets that leaders across EMEA and APAC rely on, working with our engineers on the upstream design that … would struggle to find anywhere else in this industry. You will sit between data engineering and the business. That means turning commercial questions into semantic models, curated datasets and reusable data assets that leaders across EMEA and APAC rely on, working with our engineers on the upstream design that ...

company. You’ll lead a multidisciplinary team of Data Engineers and Analytics Engineers responsible for developing and maintaining core data models, transformation pipelines, semantic layers, and the foundations that enable trustworthy self‐service and agentic analytics. You'll be an experienced engineering leader who is passionate about developing people … balancing business priorities with long‐term scalability, maintainability, and technical excellence. Lead the development of trusted, reusable analytical data models, scalable data pipelines, and semantic layers to power analytics, machine learning, and AI‐driven decision‐making. Establish strong engineering practices across data quality, automated testing, CI/CD, documentation ...