51 to 75 of 109 Semantic Layer Jobs in London

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 ...

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 our client 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 ...

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 our client 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 ...

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 ...

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 ...

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 ...

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 our client 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 ...

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 our client 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 ...

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 ...

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 ...

more important than ever! As Director of Data Products, you will own the platform, the products, the tools, the processes and the self-serve layer, so that the answer arrives before the request does. You will be a force-multiplier for the quality, velocity and impact of Multiverse … coordinate a complex set of competing needs. What you'll own Data leverage across Multiverse The platform, products and self-serve layer that ~800 people use to find, understand and act on our data — reducing the dependency on Data & Insight to answer questions others could answer themselves. Direction ...

structure, and that's why most enterprise AI is failing. The shift from copilots to autonomous agents is creating an entirely new infrastructure layer, and we're building it. zaimler is the context infrastructure for the agentic era: a platform that automatically discovers domain knowledge, maps relationships, and gives … agents the semantic understanding to operate with precision at scale. Imagine knowledge graphs that support real-time inference, built for systems that need to reason, not just retrieve. zaimler was founded by Biswajit Das (ex-VP Engineering, Truera), a Data Infra veteran and former Chief Architect at Visa ...

operational decision-making. Experience with enterprise data platforms, Customer Data Platforms (CDPs), Master Data Management (MDM), data products, Business Intelligence (BI), analytics platforms, or semantic layer solutions. Demonstrated ability to influence and build trusted relationships with senior stakeholders across product, engineering, architecture, governance, and commercial functions. Strong technical ...

data into your products.Embedded Analytics — analytics, dashboards, reporting, and insight experiences embedded directly into enterprise and SaaS applications.Agentic Intelligence — including Simba Intelligence, a governed semantic layer that gives AI tools live access to enterprise data and returns consistent, auditable answers, not guesses.What You’ll DoDevelop and execute sales ...

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 and curated layer and data marts. Delivering complex analytics workstreams end-to-end, and working within an Agile framework to break down requirements … broker or specialty (re)insurer. 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. Astrong understanding ...

process high‐volume sportsbook events (bets, pricing, settlements). Curated data assets powering trading analytics, risk monitoring, and customer personalisation models. Integration with semantic layers, BI tools, and machine learning platforms. Data governance and metadata tooling to improve transparency, trust, and reuse across the organisation. Your Experience 5+ years … Nice to Have Experience in sports betting, trading, or financial data domains. Familiarity with event‐driven architectures and real‐time data products. Experience with semantic layers (e.g. Cube.js) or metrics‐layer design. Exposure to data governance and metadata tools (e.g. OpenMetadata, Hive Metastore). Experience supporting machine learning ...

marketplace, seeks a Senior Analytics Engineer to own analytics engineering across business domains. You will translate metric definitions into data models, dbt, dashboards, and semantic layers that empower reporting and self-serve analytics. The role requires 5+ years in relevant analytics, expert SQL, and hands-on Snowflake/dbt. ...