7 of 7 Dimensional Modelling Jobs in the North West

the mobile/telecoms industry 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 Google Cloud Platform environments, primarily … and implement robust, well-documented and 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 best practices to continuously … be expecting to see: • Expert level proficiency in SQL. • Deep, practical experience of building and architecting data models with dbt. • A strong understanding of data warehousing concepts and data modelling techniques (e.g., Kimball, Dimensional Modelling, One Big Table). • Solid, hands-on experience within the Google Cloud Platform, especially with BigQuery. • Proven experience working directly with business More ❯

and performance tuning. Solid experience with Python , ideally using PySpark in Azure Databricks . Hands-on experience with Azure Data Lake Storage Gen2 . Understanding of data warehouse concepts , dimensional modelling , and data architecture . Experience working with Delta Lake and large-scale data processing. Experience building ETL pipelines in Azure Data Factory or similar orchestration tools. Familiarity More ❯

the mobile/telecoms industry 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 Google Cloud Platform environments, primarily … requirements and implement robust, well-documented and performantdbt 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 best practices to continuously … to see: • Expert level proficiency in SQL .• Deep, practical experience of building and architecting data models with dbt .• A strong understanding of data warehousing concepts and data modelling techniques (eg, Kimball, Dimensional Modelling, One Big Table).• Solid, hands-on experience within the Google Cloud Platform, especially with BigQuery.• Proven experience working directly with business More ❯

analysis techniques and data usage and building solutions to enable. Experience Strong technical background and proven ability in data collection, transformation and integration, evidencing understanding of data warehousing and dimensional modelling principles with good understanding of data profiling or analysis. Data modelling. You understand the concepts and principles of data modelling and can produce relevant data models. More ❯

Partners, we are expanding our Data Services team, investing in a large-scale modernisation programme to drive innovation and insights. We’re building a new team to enhance data modelling, reporting, AI initiatives, and cloud data platforms like Snowflake. As part of our transformation, we’re growing our analytics capability to help develop the understanding of commercial performance and … critical in the development and support of the new Evelyn Data Platform, which is being engineered on Snowflake, utilising Azure Data Factory pipelines for data integration, dbt for data modelling, Azure BLOB Storage for data storage, and GitHub for version control and collaboration. As a Data Engineer, Your Responsibilities Will Include Design, develop, and implement data warehouse solutions using … ADF) and GitHub, for ETL development. Experience building and maintaining reports using SQL Server Reporting Services (SSRS). Solid understanding of data warehousing concepts, including star/snowflake schemas, dimensional modelling, and data vault 2.0, and of the principles of ETL technical design Ability to write efficient and optimized SQL queries for data retrieval and manipulation. Solid understanding More ❯

Partners, we are expanding our Data Services team, investing in a large-scale modernisation programme to drive innovation and insights. We’re building a new team to enhance data modelling, reporting, AI initiatives, and cloud data platforms like Snowflake. As part of our transformation, we’re growing our analytics capability to help develop the understanding of commercial performance and … critical in the development and support of the new Evelyn Data Platform, which is being engineered on Snowflake, utilising Azure Data Factory pipelines for data integration, dbt for data modelling, Azure BLOB Storage for data storage, and GitHub for version control and collaboration. As a Data Engineer, your responsibilities will include: Design, develop, and implement data warehouse solutions using … Partners, we are expanding our Data Services team, investing in a large-scale modernisation programme to drive innovation and insights. We’re building a new team to enhance data modelling, reporting, AI initiatives, and cloud data platforms like Snowflake. As part of our transformation, we’re growing our analytics capability to help develop the understanding of commercial performance and More ❯

phased implementation roadmaps Significant experience (and ideally certified) in Snowflake and acted as lead data architect on at least two Snowflake implementations. Expertise in data architecture concepts such as dimensional modelling, data vault, data mesh. Understanding data management and governance concepts such as data quality, metadata management, etc. Experience in designing data engineering solutions using open source and More ❯