5 of 5 Remote/Hybrid Permanent Dimensional Modelling Jobs

would be a bonus! Key outputs for the role• Design, build, and maintain scalable and trustworthy data models in dbt, making use of Kimball Dimensional and One Big Table (OBT) methodologies.• Translate business requirements from stakeholders into robust, well-documented and tested dbt models.• Develop and own workflows within … performant dbt models that serve as a single source of truth for business reporting.• Implement and champion data quality testing, documentation standards, and modelling best practices within dbt projects.• Troubleshoot and resolve any issues or errors in the data pipelines.• Stay updated with the latest cloud technologies and industry ...

engineering standards, own key architectural decisions, and deliver scalable, reliable pipelines and models. You will: Lead the technical strategy for data engineering across ingestion, modelling, orchestration, and automation. Build and maintain high‐quality ETL pipelines using modern tooling and cloud‐native infrastructure. Develop robust data models and frameworks … similar). Experience with modern data warehouses such as Snowflake, Redshift, or BigQuery. Infrastructure‐as‐code experience (Terraform or Pulumi). Strong data modelling capability (dimensional modelling, Data Vault, etc.). Background in software engineering or backend development is highly desirable. Experience in high‐growth or smaller ...

quality, and availability across core data assets. Data Platforms, Governance & Maturity Develop and maintain enterprise data models, including master data management (MDM) and core dimensional models. Establish and embed data governance frameworks covering data quality, security, access, and regulatory compliance. Support the introduction of data standards, cataloguing, and best ...

closely with data engineers, analysts, and architects to deliver high-quality, scalable data pipelines and models. Strong expertise in Snowflake, ETL/ELT, data modelling, and data warehousing is essential. Responsibilities Snowflake Development: Build and optimise Snowflake objects (databases, schemas, tables, views, tasks, streams, resource monitors). ETL/… Pipelines: Develop and maintain robust data pipelines using tools like dbt, Airflow, Azure Data Factory, or similar. Data Modelling: Implement dimensional models (star/snowflake schemas), handle SCDs, and design efficient structures for analytics. Performance Tuning: Optimise queries, manage clustering, caching, and warehouse sizing for cost and speed. ...

business. Knowledge Required - Knowledge of operations and supply chain centric KPI calculations methods Experience building data models and flows from various sources using Kimball Dimensional Modelling techniques. Good knowledge of data warehousing and data modelling. Knowledge of a cloud data warehouse (ideally Snowflake). Strong ETL skills ...