11 of 11 Remote/Hybrid Semantic Layer Jobs in the North West

through to more operational uses such as agents that help diagnose and fix pipeline issues. Help lay the foundations for our emerging MCP and semantic layer, so our data becomes something both people and AI systems can query and reason over. What You'll Bring Strong software engineering … code generation, such as research, building domain knowledge, or prototyping. Nice to have: exposure to the building blocks of AI-ready data, such as semantic layers, ontologies, or text-to-SQL, plus any experience applying AI operationally within data platforms or pipelines. This won't be your main focus ...

through to more operational uses such as agents that help diagnose and fix pipeline issues. Help lay the foundations for our emerging MCP and semantic layer, so our data becomes something both people and AI systems can query and reason over. Strong software engineering fundamentals: you write well … code generation, such as research, building domain knowledge, or prototyping. Nice to have: exposure to the building blocks of AI-ready data, such as semantic layers, ontologies, or text-to-SQL, plus any experience applying AI operationally within data platforms or pipelines. This won't be your main focus ...

through to more operational uses such as agents that help diagnose and fix pipeline issues. Help lay the foundations for our emerging MCP and semantic layer, so our data becomes something both people and AI systems can query and reason over. Strong software engineering fundamentals: you write well … code generation, such as research, building domain knowledge, or prototyping. Nice to have: exposure to the building blocks of AI-ready data, such as semantic layers, ontologies, or text-to-SQL, plus any experience applying AI operationally within data platforms or pipelines. This won't be your main focus ...

through to more operational uses such as agents that help diagnose and fix pipeline issues. Help lay the foundations for our emerging MCP and semantic layer, so our data becomes something both people and AI systems can query and reason over. Strong software engineering fundamentals: you write well … code generation, such as research, building domain knowledge, or prototyping. Nice to have: exposure to the building blocks of AI-ready data, such as semantic layers, ontologies, or text-to-SQL, plus any experience applying AI operationally within data platforms or pipelines. This won't be your main focus ...

scheduled workloads. Building and maintaining data models using dbt to support analytics and reporting requirements. Supporting the development of AI-driven data products and semantic layers. Creating trusted datasets and business-facing data assets to support company-wide decision making. YOUR SKILLS AND EXPERIENCE You will bring strong capability ...

scheduled workloads. Building and maintaining data models using dbt to support analytics and reporting requirements. Supporting the development of AI-driven data products and semantic layers. Creating trusted datasets and business-facing data assets to support company-wide decision making. YOUR SKILLS AND EXPERIENCE You will bring strong capability ...

What they're looking for Must-haves 5+ years' experience in data analytics. Advanced SQL skills. Strong BI experience (ideally Looker, Omni, or similar semantic-layer tools). Experience building dashboards and self-serve analytics solutions. Strong stakeholder engagement and communication skills. Ability to independently structure and deliver ...

real-time data-processing solutions. Lead the design of a Customer Data Platform. Build and evolve a lakehouse architecture using AWS technologies. Create governed semantic models, consistent metrics and clear data definitions. Enable secure, self-service data analysis using modern AI tooling. Automate manual, repetitive or fragile data processes. … open table formats such as Iceberg. Medallion architecture and dimensional data modelling. Strong SQL and Python. SQL Server, SSIS/SSDT and Power BI. Semantic layers, common metrics and data glossaries. Data governance, lineage, retention, classification and auditability. Managing and developing a small technical team. You should also ...

operational data model and data management strategy. You will work on logical and physical models, align with industry standards, and create a semantic layer to support AI tools while ensuring data context and safety. You will join the Office of the CTO's Enterprise Architecture team, collaborate with ...

expertise and commercial acumen to shape enterprise-wide transformation. You will lead client engagements from strategy through to execution that combine modern data platforms, semantic architectures and agentic AI solutions to deliver measurable business value, whilst contributing to the growth of our EDA Financial Services practice. YOUR ROLE This … technical direction and hold the delivery to account, without designing it yourself. • Directing the design of AI-ready data foundations, platforms and semantic layers that provide trusted business context and reliable access to enterprise information, and holding your architects to account on those decisions • Assuring agentic architectures - interrogating ...

Programme as we replace our BW/BPC landscape with SAP Datasphere and Business Data Cloud (BDC) with SAC as the reporting and planning layer, as part of our S/4HANA transformation. This role is offered as a two-year fixed term contract, running from greenfield platform design … everything is built from scratch, making early design decisions critical. You must be proficient with SAP Datasphere; space design, data flows, replication flows, and semantic modelling. Youll also be charged with developing the standards, documentation, and approach to gathering data requirements. Whilst a big part of the role ...