76 to 100 of 172 Semantic Layer Jobs

modelling, testing, and documentation standards the data function depends on. You will innovate on how people work with data, building the agentic tooling and semantic modelling that let teams across Planday work from trusted data with confidence. What You’ll Do Set the architectural direction of our data platform … analytics, product engineering, and AI/ML from one coherent design, collaborating with Platform and ML engineering on shared infrastructure. Design the dbt models, semantic layer, and quality standards the data function depends on, with the validation and lineage to make them trustworthy downstream. Own orchestration and observability ...

coordinate monthly financial reports for C-suite Create, maintain and optimise reporting for various different streams of cost information Use dbt and create semantic layers to inform AI enabled dashboards, reports, and visualisations Analyse and interpret data to track and improve commercial and operational performance Collaborate with supply chain ...

focus on new modelling and experimentation. Turn models and metric definitions created by Data Scientists into robust, reusable production components on our shared semantic layer. Help define and evolve our MLOps standards, covering versioning, model registry practices, documentation and handover. Partner with Data Engineers on upstream pipelines and Data ...

Design structural solutions to recurring data problems and promote best practices across the organisation Mature the Platform & Enable Self-Service: evolve warehouse, catalog, ingestion, semantic/m red layer, and access models to support self-service data Raise Data Maturity: improve data capture and usage at the source … platform and governance meet regulatory standards Set Governance Standards: establish ownership, lineage, quality, and privacy Lay the AI/ML Foundations: prepare platform and semantic layer for AI-assisted access and ML use cases Belangrijkste vereisten Experienced data leader with hands-on architecture and transformation experience Strong knowledge ...

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 ...

performance and decision‐making. Strong experience developing dashboards, reports and analytical products within enterprise Business Intelligence environments. Strong experience designing and developing data models, semantic layers, reusable data products and self‐service reporting solutions. Strong SQL and data analysis skills, with experience working with complex datasets. Experience translating business ...

platform operating model, not solely project-based delivery**Desirable*** Experience with transformation frameworks (e.g. dbt)* Experience with streaming or event-driven architectures* Exposure to semantic layers, metrics layers, or feature engineering patterns* Experience managing platform costs and optimising spend at scale* Familiarity with data governance tooling (catalogues, lineage tools ...

platform operating model, not solely project-based delivery Desirable Experience with transformation frameworks (e.g. dbt) Experience with streaming or event-driven architectures Exposure to semantic layers, metrics layers, or feature engineering patterns Experience managing platform costs and optimising spend at scale Familiarity with data governance tooling (catalogues, lineage tools ...

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 ...

scalable, secure, and responsible AI solutions that leverage Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), Agentic Frameworks, Knowledge Graphs, Semantic Layers, Vector Databases, and Cloud AI services.This role will act as the bridge between Business, Product, Engineering, Data, Security, Risk, and Technology teams … StudioAzure AI FoundryVertex AIBedrockDatabricks AISnowflake CortexExperience building enterprise AI assistants and autonomous agents.Experience with Text-to-SQL and conversational analytics.Experience with Knowledge Management and Semantic Layer technologies.We are a Disability Confident Employer:Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government ...

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 ...

optimising Tableau dashboards, data models and reporting solutions that translate complex data into actionable business insight Strong understanding of data architecture, data modelling and semantic layer design, including scalable reporting databases, data warehouses and self-service reporting environments Experience integrating and transforming data from multiple sources through ...

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 ...

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 ...

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 ...

years of hands‐on experience with SAP Datasphere , SAC , and related analytics tools. Knowledge of SAP BDC Excellent grasp of data modeling, semantic layer design, and visualization principles. Familiarity with Retail Strong understanding of Fiori Elements reporting , CDS views, and analytical queries. Basic experience in Python , ABAP … Design and implement analytics architecture integrating SAC, Datasphere, and BDC within cloud and hybrid SAP landscapes. Model and manage data in SAP Datasphere — building semantic models, views, and data products. Develop SAC dashboards and stories , including visualizations, planning models, and performance indicators tailored to users at all levels. Leverage ...

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 ...

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 ...

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 ...

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 ...