11 of 11 Permanent Semantic Layer Jobs in England

scalable data pipelines using Azure Data Factory and Databricks to automate data ingestion, transformation, and processing workflows. DCreate and maintain dimensional data models and semantic layers that support business intelligence and analytics use cases. Build and optimise data transformation workflows using dbt, SQL, and Python to create clean, well ...

technologies and improving development processes. Technical Skills Extensive knowledge of, and experience in, data warehousing: encompassing physical modelling, as well as ETL, ELT, CDC, semantic layers, rules engines, reconciliation principles, SQL, Python, Terraform, Snowflake, AWS. Monitoring, automated test capabilities and reporting design, dashboarding and data feeds. Undergraduate or postgraduate ...

accuracy of metrics and performance insights 8.User Satisfaction & Self-Service Promotion Advocate for self-service capabilities, supporting creation of curated datasets, intuitive dashboards, or semantic layers for non-technical users Conduct user training or adoption sessions, gathering feedback to refine solutions and measure user satisfaction 9.Project & Delivery Management Oversee ...

gold layers. Apply Kimball methodologies to deliver clean, scalable data models. Implement data quality frameworks and testing strategies. Own the design of the semantic layer for BI tools such as Looker or Power BI . Promote self-service analytics and data literacy across the business. ...

Senior Analytics Engineer/Data Modeller Responsibilities Design, build, and maintain analytical and AI-ready data marts sourced from the enterprise data lakehouse. Develop semantic models and dimensional structures optimised for BI, dashboarding, and machine learning. Ensure documentation, governance, and data consistency across domains. Collaborate with data engineers … platforms such as Snowflake, Azure Synapse, BigQuery, or Redshift. Deep understanding of Data Vault, Kimball, and dimensional modelling techniques. Experience designing data marts and semantic layers for BI tools (Power BI, Tableau, Looker). Familiarity with analytics engineering tools including dbt, Airflow, and Git for version control. Excellent collaboration ...

MQTT, REST. Design and manage data lakes, warehouses, and streaming platforms for predictive analytics, digital twins, and operational intelligence. Define and maintain asset hierarchies, semantic models, and metadata frameworks for contextualized industrial data. Implement CI/CD pipelines for data workflows and ensure lineage, observability, and compliance across environments. … EventBridge etc. Industrial Data Integration:Familiarity with OT data schema originating from OSIsoft PI, SCADA, MES, and Historian systems. Information Modeling:Experience in defining semantic layers, asset hierarchies, and contextual models. Data Governance:Hands-on experience Data Quality:Ability to implement profiling, cleansing, standardization, and anomaly detection frameworks. Security ...

quality, transformation, security, batch management, monitoring, alerting, and cost control are efficient. Design and help build the data platform – ensuring data is processed through semantic layers and can be modelled effectively. Suggest improvements for automation and cost savings. Lead changes across the organisation, adopting a decentralised design. Role: Principal ...

quality, transformation, security, batch management, monitoring, alerting, and cost control are efficient. Design and help build the Data Mesh – ensuring data is processed through semantic layers and can be modelled effectively. Suggest improvements for automation and cost savings. Mentor and lead teams of engineers, checking and reviewing code ...

test accuracy optimization hypotheses. Develop the products and integrations necessary to enable customers to prepare their data infrastructure for AI use cases (e.g. semantic layering, metadata management, and other considerations). We'll be happy to have you on our team if you have: A proven track record … Experience with Python and SQL at a basic level. Experience with data analytics and BI tools. Familiarity with platforms such as Snowflake, Databricks, and semantic layers like Cube, dbt, or LookerML. Knowledge of data catalog solutions (e.g. OpenMetadata, Atlan, DataHub). Previous experience developing analytics solutions involving AI features. ...

test accuracy optimization hypotheses. Develop the products and integrations necessary to enable customers to prepare their data infrastructure for AI use cases (e.g. semantic layering, metadata management, and other considerations). We'll be happy to have you on our team if you have: A proven track record … Experience with Python and SQL at a basic level. Experience with data analytics and BI tools. Familiarity with platforms such as Snowflake, Databricks, and semantic layers like Cube, dbt, or LookerML. Knowledge of data catalog solutions (e.g. OpenMetadata, Atlan, DataHub). Previous experience developing analytics solutions involving AI features. ...

advance scalable LiDAR- and vision-based mapping pipelines. * Build and improve 2D/3D representations: occupancy grids, vector/HD maps, semantic layers, environment models. * Lead multi-sensor fusion (LiDAR, cameras, radar, GNSS/INS, odometry) into coherent, consistent map outputs. * Deliver large-scale capabilities like multi-session mapping … ensure stable, drift-free deployment performance. * Define KPIs and validation frameworks for map accuracy, completeness, and consistency. * Translate state-of-the-art research (SLAM, semantic mapping, multi-modal reconstruction) into production systems. * Set best practices and technical standards to support future team growth. Experience required * MSc/ ...