1 to 25 of 37 Semantic Layer Jobs in England

Senior Director, Semantic Platform Enablement We're building a connected, end-to-end Enterprise AI engine - uniting data foundations, AI technology, process reinvention, and business-facing AI to accelerate results across the whole value chain. Success depends on being outstanding connectors: you'll actively harness existing capabilities, celebrate … platform (and sponsorship) to make it real! Introduction to role This Senior Director role leads the design and enterprise enablement of AstraZeneca’s semantic platform so data is consistently understood, reliably connected, and reusable by both human and AI consumers. The position establishes the capabilities needed to translate core ...

analytics platforms utilizing: SAP Business Data Cloud (BDC) for unified data ecosystems and business context integration. SAP Datasphere for data modeling, federation, virtualization, and semantic layer development. SAP Analytics Cloud (SAC) for reporting, dashboards, planning, and predictive analytics. SAP BDC Connect and Data Products frameworks. Intelligent Applications … Data Packages. Medallion Architecture patterns leveraging SAP HANA Cloud. AI-enabled analytics and data-driven decision support. Key responsibilities include: Designing analytical, semantic, and business-layer data models aligned with organizational KPIs and reporting requirements. Defining data integration strategies across SAP and non‐SAP environments, including real‐time ...

/star schema) for analytics and reporting Provide technical guidance and support to BI Developers during delivery (non-managerial) Contribute to Power BI/semantic layer design to support enterprise reporting Support integration of data from multiple SaaS and third-party systems Ensure best practices across data quality … desirable) Strong background in data warehousing and BI environments Excellent dimensional modelling (Kimball) experience Experience working closely with BI/reporting teams (Power BI, semantic models, DAX) Confident working across end-to-end data pipelines and integration patterns Strong SQL skills with experience optimising queries and datasets Comfortable guiding ...

mapping, validation, and sign‐off. Design and maintain the Cloud SQL unified data model, including the HR to Finance mapping table and the join layer that serves all three reporting lenses – Function, Supervisory Organization, and Job Family – from a single data model. Implement the lineage graph in Cloud … SOAP fallback Unified data model design across HR and Finance systems, lineage graph implementation with REST API publishing, and basis tagging at ingestion DirectQuery semantic layer design, Power BI Embedded integration, and Informatica Preferred Qualifications GCP Professional Data Engineer certification or equivalent demonstrated experience. Exposure to Power ...

cloud data platforms, lakehouse architectures, and analytics ecosystems Lead architecture for data modelling, warehousing, and ETL/ELT pipelines Design and oversee BI and semantic layer architecture (Power BI and similar tools) Define standards for data governance, security, lineage, and data quality Engage senior stakeholders to shape data ...

organisation's reporting environment. Key Responsibilities Build and maintain data pipelines using Microsoft Fabric and related technologies Develop lakehouse architectures, data models and semantic layers Integrate data from a variety of operational systems, cloud platforms and APIs Optimise datasets and reporting performance within the Microsoft ecosystem Support data governance ...

patient care, operational performance and strategic planning. You will lead on the development and optimisation of SQL Server data warehouse solutions, advanced ETL processes, semantic/tabular data models and modern reporting platforms including Power BI. Working with large and complex healthcare datasets, you will collaborate closely with informatic … designing the underlying data structures that support reporting and analytics across the organisation. This includes developing and maintaining robust fact and dimension models, semantic layers and ETL processes to ensure data is accurate, accessible and fit for analytical use. You will contribute to the ongoing development of the Trusts ...

into scalable, production-grade data, analytics and AI-enabled solutions. KEY ACCOUNTABILITIES Data Product Strategy and Commercial Value Define target-state data products and semantic layers for key Global Markets domains, including client, trade, market, position, risk and reference data. Identify use cases where governed data, analytics and automation … lineage, security and production robustness. Data Modelling, Governance and Controls Work closely with technical and quant teams on domain data modelling, canonical views, silver-layer enterprise views, data catalogues, lineage, metadata and critical data elements. Provide product-owner challenge to ensure data models are fit for business purpose, support ...

standard use cases. Design data ingestion architecture (batch, micro-batch, and streaming) with clear boundaries for system-to-system integration. Define architecture for the semantic layer and self-serve analytics infrastructure. Provide input to data squads for complex data products and support Data Product Managers and Data Engineers … platform roadmap from an architectural perspective, defining how the platform evolves over time (e.g.,SAP BW transition/retirement path, Databricks maturation, Datasphere integration layer decisions). Contribute to enterprise architecture governance forums, representing data platform considerations in broader technology decisions. Provide architectural input to vendor and tooling decisions ...

delivery of high-quality, trusted data products across the business. Key Responsibilities Define and own enterprise-wide data architecture standards, including Data Vault, semantic layer frameworks, star schema modelling patterns, and Snowflake design conventions. Design scalable integration patterns for legacy and modern data sources, ensuring strong governance, reconciliation … identifying efficiencies in data processing, storage, and query execution. Design data structures and architectures that enable AI, GenAI, and advanced analytics use cases, including semantic and metadata-driven solutions. Partner closely with data engineering teams, business stakeholders, and analysts to define data contracts and maintain a consistent, trusted data ...

growth. What the role involves: Designing and building cloud-native data infrastructure that scales Building and maintaining reliable ingestion, transformation and orchestration pipelines Developing semantic models and governed data structures that people can trust Improving data quality, observability and lineage across the platform Contributing to architectural decisions and long … with AWS and modern warehousing tech - Redshift in particular Experience with dbt or similar transformation tooling A good understanding of data modelling, governance and semantic layer design Experience with agentic AI or AI-assisted tooling within data workflows Strong engineering judgement and the ability to balance long term ...

deliver a step-change in how insight is generated, distributed and consumed across the Group, moving to a unified, conversational, proactive AI insight layer built on the Central Data Layer (CDL). This role goes beyond traditional BI or analytics leadership. It requires redefining the paradigm of insight … consumption from pull-based reporting to AI-driven push, nudging and decision support, enabled through semantic abstraction, conversational access, and multi-channel delivery. You will lead the development of the vision and associated architectures (including Claude-enabled interaction models), ensuring these are translated into production-grade, scalable capabilities adopted ...

modelling and data transformation principles. Ability to work effectively within collaborative engineering teams. Desirable Experience: Airflow Databricks Experience supporting AI or machine learning initiatives. Semantic layer experience. Exposure to Azure and multi cloud environments. Understanding of Inmon 3NF data modelling methodologies. Reasonable Adjustments: Respect and equality are core ...

technologies: Python, pandas and SQL in Jupyter notebooks for analysis dbt and Databricks data platform with Delta Lake Lightdash as our BI tool and semantic layer Streamlit for interactive data applications Airflow for orchestration Kubernetes for application deployment CI/CD with GitHub and CircleCI Infrastructure ...

Translate roadmap into phases of discovery, design, implementation, and validation, ensuring each phase has defined deliverables, owners, and timelines Define business logic and semantic layers for Awin's financial and business analytics Collaborate with and serve as the first point of contact for business stakeholders to understand and solve ...

build of Knowledge Graph solutions that transform a client's data architecture within program scope. Directs the design, development, and implementation of AI and semantic solutions, ensuring all the pieces work together seamlessly. Works with project leaders, delivery leads, and client stakeholders to create stand‐out, graph‐powered Data … offerings. Develops strong client relationships and earns the trust of key advisors. Makes the business case for the semantic layer solution recommended to the client. Contributes meaningfully to Accenture sales and pre‐sales efforts. Provides thought leadership on technology trends, new opportunities, innovations, and foreseeable limitations, risks ...

following would be an advantage: SaaS or enterprise data environments Data integration or ETL processes Git or other version control tools Familiarity with semantic layer tools such as Cube or LookM Why Apply? You'll be joining a highly collaborative team where your work directly influences product quality ...

Business to ensure analytics is embedded in every decision Drive "Data as a Product" , owning the evolution of our data models and semantic layer, ensuring teams can reliably self‐serve from high‐quality data products Champion governance and guardrails , establishing rigorous standards for modelling, semantics, testing, and auditability ...

delivery focused Data Modeller who combines strong architectural thinking with genuine hands-on capability. You'll be comfortable moving between business requirements, data modelling, semantic layer design and technical implementation, helping to drive a best in class data platform. Key Knowledge Designing and delivering enterprise scale data models … Snowflake Working hands-on across data warehousing, data integration and data exchange solutions Defining and implementing logical and physical data models Developing and optimising semantic layers to support reporting, analytics and self-service consumption Collaborating with Data Architects, Engineers and Business Stakeholders to translate requirements into scalable solutions Supporting ...

influence technical direction and architectural decisions. Comfortable remaining hands-on while operating in a leadership capacity. Desirable Skills Airflow Databricks AI-focused development experience Semantic layer experience Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have ...

Azure Environment. Key Criteria: Strong knowledge of: Cloud-native data platforms (e.g., lakehouse, warehouse, streaming systems) Modelling approaches (medallion, dimensional, event-driven, semantic layers) Data governance frameworks and metadata tooling Data lineage, cataloguing, discovery, and documentation Data quality and observability tooling Data access/security patterns Skilled in standardisationcreating ...

data architecture across discovery, development, regulatory and operations. You will define the City Plan, establish enterprise data models and promote data mesh, data products, semantic layers and knowledge graphs to accelerate insights. You will collaborate with scientists, engineers and product teams to ensure compliance, scalability and secure data flows. ...

Report Modeller & Developer to join their Finance & Controlling MI team. As a Report Modeller & Developer, you'll design and develop data models, semantic layers, KPIs and reporting solutions that support operational reporting, business insight and strategic decision-making. You'll contribute to the migration from a legacy data warehouse … bring strong experience in data modelling, reporting, and analytics, with expert knowledge of SQL, Databricks, Azure Data Factory and Power BI, including DAX and semantic modelling. You'll have a solid understanding of Azure Data Lake architecture, ETL processes, dimensional modelling and modern reporting principles, with the ability ...

. Set up tracking and monitoring for new launches and changes, and quantify and measure their impact on KPIs. Build and maintain a reporting layer, with automated alerting and root cause analysis that flags when KPIs move unexpectedly and why. Design, run, and interpret experiments, from A/… tests to quasi-experimental methods like difference-in-differences when randomisation not possible. Model robust, trusted data in our dbt and BigQuery layer, safeguarding its quality through testing, documentation, and certification in collaboration with engineering. Create reusable, AI-assisted analytics skills that scale the team's impact and help ...

investment to business priorities. Nice to Have Experience in a marketplace, e‐commerce, grocery or retail analytics context. Familiarity with federated data architecture patterns, semantic and metrics layer tooling, or Python for data automation and pipeline work. Exposure to or research of AI for Data, including semantic ...