1 to 25 of 62 Semantic Layer Jobs in the UK excluding London

compliance programs. To learn more about Comply, visit comply.com About the role Comply is looking for a Senior AI Data Engineer to turn our semantic data models into the knowledge graphs, vector search, and LLM-powered pipelines that make Comply’s financial and regulatory data genuinely AI-ready. Comply … providers across the US and beyond. The Comply Data Platform is a strategic initiative at the heart of that mission: a modern, cloud-native semantic layer built from the ground up—using JSON-LD as its semantic language—to power AI-driven insights, regulatory analytics, and next ...

questions that need real thought. You'll set the standards for how analytics is built here: governed metric definitions and a shared semantic layer so numbers agree across the business, a well-maintained data catalog and ontology so data assets are discoverable and trusted, version control, testing … confidently and safely for themselves Partner with the Data Science and Enterprise AI team to deliver AI-enabled self-service analytics, grounded in governed semantic views, so colleagues can query trusted data directly in natural language rather than waiting on bespoke reporting Insight and delivery Build and maintain lightweight ...

answer real executive questions: Do we have the right amount of space? Is our hybrid policy working? Where can we save money? Own the semantic layer behind our insights: the shared metric definitions and data models that dashboards, APIs and AI assistants all draw from, so every number … SQL. You write your own queries to explore data, check a number and test a hypothesis without waiting for an analyst. You also understand semantic layers and metric stores, how LLMs answer questions over structured data (text-to-SQL, retrieval, agents and tool use), and where each approach breaks. ...

executive reporting, merchant insights, finance automation, and AI/ML use cases — built on our Azure-centric stack and evolving toward a Lakehouse and semantic layer direction. Your Core Impact Design the Lakehouse: Build and own our unified data lake foundations, focusing on scalable ingestion, lifecycle management … optimised access patterns. Build the Semantic Layer: Implement “metrics-as-code” so KPIs like GMV and CAC are defined once and trusted everywhere. Engineer Robust Pipelines: Develop high-availability ETL/ELT flows across microservices, PSP/payment gateways, and CRM/Finance tools. Enable Product Innovation: Partner ...

turns customer goals into technical valid, commercially credible designs covering: Data Ingestion and Integration Storage and management Processing and Transformation Design of the Semantic Layer Data Sharing Delivery of AI-ready data Governance, security, observability and cost are designed in at every stage. They work closely with Solution …/ELT, transformation and orchestration approaches suited to the customer's scale, skills and operating model. Data Storage & Management - Design the logical storage layer, including open table formats, database selection, partitioning, retention and lifecycle management. Work with Hybrid Platforms architects, who own physical storage and infrastructure. Data Governance, Discovery ...

scaling phase. You will lead the migration from legacy reporting and metric tooling into a governed Microsoft Fabric platform, keep business-critical BI and semantic models reliable, improve data pipeline stability and monitoring, support CRM data integration, apply AI and automation to improve data engineering, reporting and analytics … provide senior technical leadership for data engineering delivery. Core responsibilities Lead hands-on Microsoft Fabric architecture across lakehouse, warehouse, notebooks, semantic models, Git-backed delivery and production governance. Drive migration from legacy reporting and metric tooling into a governed Fabric semantic layer, including parity testing, stakeholder sign ...

into reporting and metric pipelines, such as translation, classification, basic aggregation and preparing unstructured data. Evaluating output quality is part of delivery Expose the semantic layer to internal tools and agents through MCP and APIs, working with engineering on shared standards Prepare data for agentic tools, company-wide … that feeds high-stakes decisions. Priorities are set by final business impact. Who You Are You write expert SQL and have strong dimensional or semantic data modelling skills You write working Python, with tests and version control You've built metrics and semantic layers You have ...

want to change the status quo, we'll help you make your moment. Join Team Purple. Join IFS. Build and operate the interface, semantic layer and controls that let AI agents work inside IFS software safely. Key responsibilities Design and build MCP servers (Model Context Protocol, the emerging … backward compatibility as first-class design problems. Build the write path that lets an agent safely change a customer’s operational data. Build the semantic layer: an ontology and knowledge graph over the product, generated from what the platform already knows about itself and then curated industry ...

Modelling), you'll be a specialist at the heart of our data engineering community, focused squarely on the craft of dimensional modelling and the semantic layer that turns raw data into a source of truth our teams rely on every day. From there, you'll spend your time … data models, getting the grain right first and building for the way the business will grow. Build the dbt layer. Craft the transformation and semantic layer in dbt that turns raw source data into trusted, well-documented business truth. Champion quality. Make data quality, testing and documentation first ...

Modelling)**, you'll be a specialist at the heart of our data engineering community, focused squarely on the craft of dimensional modelling and the semantic layer that turns raw data into a source of truth our teams rely on every day.**But the best models don't start … data models, getting the grain right first and building for the way the business will grow.**Build the dbt layer.** Craft the transformation and semantic layer in dbt that turns raw source data into trusted, well-documented business truth.**Champion quality.** Make data quality, testing and documentation first ...

with. Experimentation rigour. Lead A/B tests, holdouts, sample sizing, and post-test analysis to support confident decisions. Own certified metrics and the semantic layer for your squad’s domain. Ensure metrics are consistent, documented, accessible, and trusted. Applied AI as a working tool. Use LLMs … would also be great if you have: Familiarity with AI evaluation patterns - eval sets, scorecards, guardrails for non-deterministic outputs. Working understanding of the semantic layer and certified metrics. Hands-on experience prototyping data-driven product features Experience as the data expert in an Agile squad alongside Product ...

agents understand IFS software and reason accurately over customer data, turning what the platform already knows about itself, plus deep industry expertise, into a semantic layer other engineers and agents can trust. Key responsibilities Design and build MCP servers (Model Context Protocol, the emerging standard for exposing application … first-class design problems. Build the write path that lets an agent safely change a customer’s operational data. Design and build the semantic layer: an ontology and knowledge graph over the product, generated from what the platform already knows about itself and then curated industry by industry ...

scale its data ecosystem into a true single source of truth. You will own the Azure‐centric lakehouse foundations and help evolve toward a semantic layer and lakehouse architecture. You will design pipelines, implement metrics‐as‐code for KPIs, and partner with AI/ML engineers to power ...

established, and ready for someone to take to the next level. You’ll be the go‐to expert for our lakehouse/warehouse architecture, semantic models, and the pipelines that keep data flowing reliably across the business. This is a hands‐on senior individual contributor role … repository, including code quality, branching strategy, CI/CD, and release governance. Define and enforce best practices for data modelling, ingestion, transformation, orchestration, and semantic layer design. Drive platform reliability, performance, security, and cost optimisation across lakehouse/warehouse workloads. Act as technical lead for solution design, incident ...

Tableau access management and application management Experience working with enterprise data discovery, analytics, and BI software tools such as Tableau, PowerBI and others for semantic-layer-based data discovery. Experience in enabling the BI self service capability for the organisation Experience and knowledge of big data platforms ...

data platform aligned to the business and product strategy. Own and evolve the data architecture for Quantios Insights, including data ingestion patterns, lakehouse design, semantic modelling, and analytical layers. Define architectural guardrails and reference patterns for Databricks to support customer deployment flexibility. Contribute to the long-term roadmap … domain-driven canonical data models for all Quantios products and cross-product datasets. Architect medallion/lakehouse models (bronze, silver, gold) using Databricks. Ensure semantic models, KPIs, and analytical structures are consistent, scalable, and aligned with business requirements, and serve whichever BI and application layers consume them. Guide Data ...

assessment, roadmap, cutover, parallel-run validation, and decommission plans.Govern data modeling standards and patterns (dimensional star/snowflake, Data Vault, 3NF, wide-table designs), semantic layers (Snowflake semantic views, Horizon Context, BI semantic models), and data contracts for analytical and operational domains.Establish ELT/ETL and streaming … tuning (clustering keys, Search Optimization, materialized views, result caching, adaptive compute).Enable AI- and GenAI-ready architectures on Snowflake Cortex AI, agentic governance, and semantic layers for AI agents ensuring a governed, AI-ready data foundation.Partner with business, product, analytics, and engineering leaders to prioritize roadmaps and translate requirements ...

resolution, improving client experience and driving operational efficiency Demonstrate control environment improvements and reduction in toil through common tooling and frameworks; uplift the metadata (semantic layer) of existing data to support AI and Natural Language Query (NLQ) usage, accelerate adoption of Mesh data architecture, reduce consumer friction ...

related to data management. Design data structures that support reporting, dashboards, predictive analytics, and AI initiatives, including the support and design of a Universal Semantic Layer. Collaborate with Data Engineers, Data Analysts, and Business Intelligence teams to optimize data accessibility and usability. Support self-service analytics capabilities through well ...

resolution, improving client experience and driving operational efficiency Demonstrate control environment improvements and reduction in toil through common tooling and frameworks; uplift the metadata (semantic layer) of existing data to support AI and Natural Language Query (NLQ) usage, accelerate adoption of Mesh data architecture, reduce consumer friction ...

following technologies: Data Processing: Apache Spark/PySpark Workflow Orchestration: Apache Airflow Containerisation: Kubernetes Cloud Platform: Microsoft Azure Data APIs & Semantic Layer: CubeJS Programming Languages: Python, SQL Essential Skills & Experience Degree in a STEM discipline, ideally Computer Science, Software Engineering, or a related field. Minimum of 5 years … Experience designing and building scalable, production-grade data pipelines. Desirable Experience Experience working within cloud-native Azure environments. Knowledge of modern analytics platforms and semantic data layers. Previous mentoring or technical leadership experience. Apply If you're a passionate Senior Data Engineer looking to work on complex data challenges ...

complex business problems through data, from understanding requirements to delivering analytical solutions . Translate business needs into clear and scalable data models and our semantic layer , ensuring technical solutions align with our long-term platform design and methodologies . Build and maintain robust data transformations and models ...

looking for a Senior Data Analytics Engineer to own the analytics layer and become the main point of contact for data across the business. You’ll work closely with Product, Marketing, Finance and Operations to understand their data requirements, turn them into reliable models and metrics, agree priorities … also support the Data Analyst in working confidently with the data. You’ll be joining an established data platform with the ingestion layer already in place. Your focus will be on the modelling, analytics and reporting layer built on top of it. What You’ll Own Data Modelling ...

integration, migration or transformation, ideally involving General Ledger and financial reporting Deep understanding of data modelling, including dimensional modelling, normalisation/denormalisation xehkeey and semantic layers Experience with Microsoft Azure, Fabric, ETL/ELT, data pipelines and Lakehouse/Warehouse architecture Ability to translate architecture into practical implementation plans ...

Platform: Multi-tenant cloud architecture, Durable workflows, AWS, Databricks, RBAC/ABAC, IAM, observability and infrastructure chargebacks. Data, Knowledge, and Developer Products: Search, Semantic layer foundations, knowledge and ontology layers and products, external developer platforms. What you’ll own: Enterprise Platform: Tenancy, IAM, Compliance and control plane that … govern their scientific data environment: SSO/SAML/OIDC, fine-grained RBAC/ABAC for SQL access. Scientific Search: Search architecture spanning keyword, semantic, and hybrid retrieval across scientific data, instruments, and metadata: relevance standards, indexing pipeline, and the infrastructure that makes search a reliable product surface. ...