4 of 4 Dimensional Modelling Jobs in Berkshire

PowerBI/Tableau developer, with a solid track record in delivering complex solutions. They will be proficient in desktop and cloud, with expert level experience in calculated metrics, data modelling, and optimising reports. You will Lead the design and development of visualisation dashboards that meet complex data requirements and present information in a clear and concise manner Drive data … design with business users Ability to perform data blending, data aggregation and complex calculated fields when required Possess hands on experience with SQL and knowledge of data warehousing and dimensional modelling will be advantageous Experience using large data platforms such as Snowflake, Databricks or similar Exposure to other visualisation platforms is helpful, but not essential Required Characteristics Cares More ❯

at enterprise level or in large-scale delivery. Proven experience in data engineering and architecture, with a focus on developing scalable cloud solutions in Azure, GCP or AWS. Data Modelling using Kimball, 3NF or Dimensional methodologies Analytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be … Considerable experience designing and building operationally efficient pipelines, utilising core Cloud components, such as Azure Data Factory, Big Query, AirFlow, Google Cloud Composer and Pyspark etc Proven experience in modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong understanding and or use of unity catalog alongside core More ❯

based data storage solutions such as Snowflake and data lakehouse Experience with cloud platforms (e.g., AWS, Azure, GCP) and cloud-based data integration. Strong understanding of data warehousing concepts, dimensional modelling and medallion architecture. Building production-grade pipelines with logging, alerting, retries, idempotency, and robust error handling. Experience with REST APIs, pagination, authentication (OAuth2, service principals), and file More ❯

based data storage solutions such as Snowflake and data lakehouse Experience with cloud platforms (e.g., AWS, Azure, GCP) and cloud-based data integration. Strong understanding of data warehousing concepts, dimensional modelling and medallion architecture. Building production-grade pipelines with logging, alerting, retries, idempotency, and robust error handling. Experience with REST APIs, pagination, authentication (OAuth2, service principals), and file More ❯