11 of 11 Kimball Methodology Jobs in the South East

to create, inform, and champion data and analytics best practices. About You 3-5 years' experience applying relational data modelling and data warehousing techniques, including the Kimball Methodology or other similar dimensional modelling standards, is essential to the role. Technical experience building and deploying models and reports utilizing the following tools: PySpark Microsoft Fabric or Databricks Power … preferred) An understanding of the structure and purpose of the Financial Advice and Wealth Management markets within the UK Financial Services sector is highly advantageous. Knowledge of the Agile methodology would be beneficial. Skills/Other Relevant Information Excellent numerical skills are essential, enabling easy interpretation and analysis of large volumes of data. Experience with Python is highly beneficial More ❯

What we're looking for: Experience across a modern data stack for ETL/ELT processes and data warehousing. Strong SQL and Python skills, with an understanding of Kimball-style data modelling . Experience with DBT, Dagster, or Airflow for transformation and orchestration. Hands-on experience with Azure (preferred), or other cloud environments (GCP/AWS). Familiarity More ❯

to manage pipeline testing, deployment, integration and monitoring. Data modelling expertise to develop low-level designs and implement models against business requirements, using design patterns such as Inmon, Kimball and Data Vault. Excellent Databricks, Python, PySpark and Spark SQL knowledge, including writing, testing and quality assuring code and knowledge of Unity Catalog best practice to govern data assets More ❯

technologies. Requirements: Proven experience in data engineering with Azure tools (Synapse, Data Factory, Databricks). Experience with Microsoft Fabric. Strong Python programming skills. Knowledge of data modelling and Kimball methodology. Excellent communication and problem-solving skills. Fabric certifications are highly desirable Benefits: Competitive salary and bonus scheme Private medical cover, life assurance, and pension. Hybrid working. And more More ❯

technologies. Requirements: Proven experience in data engineering with Azure tools (Synapse, Data Factory, Databricks). Experience with Microsoft Fabric. Strong Python programming skills. Knowledge of data modelling and Kimball methodology. Excellent communication and problem-solving skills. Fabric certifications are highly desirable Benefits: Competitive salary and bonus scheme Private medical cover, life assurance, and pension. Hybrid working. And more More ❯

technologies. Requirements: Proven experience in data engineering with Azure tools (Synapse, Data Factory, Databricks). Experience with Microsoft Fabric. Strong Python programming skills. Knowledge of data modelling and Kimball methodology. Excellent communication and problem-solving skills. Fabric certifications are highly desirable Benefits: Competitive salary and bonus scheme Private medical cover, life assurance, and pension. Hybrid working. And more More ❯

technologies. Requirements: Proven experience in data engineering with Azure tools (Synapse, Data Factory, Databricks). Experience with Microsoft Fabric. Strong Python programming skills. Knowledge of data modelling and Kimball methodology. Excellent communication and problem-solving skills. Fabric certifications are highly desirable Benefits: Competitive salary and bonus scheme Private medical cover, life assurance, and pension. Hybrid working. And more More ❯

technologies. Requirements: Proven experience in data engineering with Azure tools (Synapse, Data Factory, Databricks). Experience with Microsoft Fabric. Strong Python programming skills. Knowledge of data modelling and Kimball methodology. Excellent communication and problem-solving skills. Fabric certifications are highly desirable Benefits: Competitive salary and bonus scheme Private medical cover, life assurance, and pension. Hybrid working. And more More ❯

What We're Looking For Extensive experience in data architecture and modelling. Strong knowledge of Azure Cloud Services (DataBricks, ADF, Azure SQL, CosmosDB). Proficiency in Kimball methodology and Data Vaults. Experience with MDM, data cataloguing, and lineage management. Skilled in designing metadata-driven ingestion and transformation pipelines. Proven track record in agile delivery environments (SCRUM, PRINCE2 More ❯

data is used to drive commercial decisions - particularly around pricing, revenue, and customer insight. Key responsibilities include: Manage and maintain the company's data warehouse (Python, Airflow, DBT, Kimball) Ensure data pipelines are robust, accurate, and performant Maintain and develop cloud infrastructure using Infrastructure as Code (Terraform) Identify opportunities to improve data processes, architecture, and efficiency Support the More ❯

multi-vendor and internal teams Ensure alignment with strategic objectives Essential Skills Leadership in multi-vendor environments BI/Warehousing & Agile Scrum expertise Data warehouse architecture (Star Schema, Kimball, Inmon) Project management (PRINCE2, PMP) & ITIL principles Strong stakeholder engagement & risk management Desirable Knowledge of emerging tech & MPP platforms Advanced data warehouse design experience Other Ability to manage full More ❯