4 of 4 Remote/Hybrid Dimensional Modelling Jobs in the South West

DeliveryLead a concept through our solution development lifecycle considering standard principles like optimisation and scalability.Oversee end-to-end data processes such as ingestion, transformation, modelling, and integration across multiple external, facing projects.Oversee end-to-end data processes such as ingestion, transformation, modelling, and integration across multiple external, facing … Java, or C# also beneficial).Strong SQL skills and deep understanding of relational databases, non-relational stores, and data warehouse principles.Solid experience with data modelling methodologies (dimensional modelling, star/snowflake schemas, data vault, etc.).Experience designing and operating ETL/ELT pipelines and modern workflow orchestration ...

solid foundation in systems development: must understand the system development life cycle, project management approaches, and requirements, design, and test techniques.Demonstrable experience of data modelling and design in a large complex organisation Experience and understanding of both established and emerging data technologies, including established data management and reporting technologies.Expert … knowledge of SQL databases alongside some knowledge of columnar and NoSQL databases, predictive analytics, data visualization, and unstructured dataStrong understanding of various data modelling methodologies (e.g., dimensional modelling, data vault).Demonstrate a good understanding of Data/Information Governance principles and familiarity with processes, policies ...

preferred). Advanced SQL development and performance tuning skills. Experience with Python, PySpark, or Scala for data processing. Knowledge of data warehousing concepts and dimensional modelling. Experience with CI/CD pipelines using Azure DevOps or GitHub. Understanding cloud architecture and distributed data processing. Data Management Experience with ...

Qlik. Strong SQL skills. Experience with Python would be advantageous. Excellent Excel skills and good working knowledge of PowerPoint. A strong understanding of data modelling, including data grain, relationships, dimensional models and reusable metrics. The ability to take complex data and turn it into simple, compelling and actionable ...