13 of 13 Kimball Methodology Jobs in the South East

stakeholders to deliver practical solutions. Essential Skills Strong SQL and Snowflake experience. Data engineering and ETL/ELT development. Dimensional modelling (Kimball methodology). dbt development and engineering best practices. Azure Data Factory, Azure Functions and CI/CD. Python development for automation and data processing. Azure ...

stakeholders to deliver practical solutions. Essential Skills Strong SQL and Snowflake experience. Data engineering and ETL/ELT development. Dimensional modelling (Kimball methodology). dbt development and engineering best practices. Azure Data Factory, Azure Functions and CI/CD. Python development for automation and data processing. Azure ...

optimisation Experience with Azure Data Factory, ADLS Gen2, Synapse Analytics, and/or Microsoft Fabric Excellent understanding of modern data modelling approaches including Kimball, Inmon, and Data Vault Strong SQL, Python, Spark, and Snowflake SQL skills Experience with CI/CD and Infrastructure as Code tools such ...

will possess: Expert SQL skills including stored procedures, functions, XML and JSON data types. Strong understanding of Data Warehouse methodologies such as Kimball and Inmon. Strong Power BI report and dashboard development and DAX skills, including semantic modelling and paginated reports. Experience building ETL and integrations using Azure ...

Data Architect within enterprise-scale environments. Strong expertise in Snowflake , DBT , and cloud-based data platforms. Advanced knowledge of data warehousing methodologies including Kimball, Inmon, and Data Vault . Extensive SQL and data modelling experience. Strong understanding of ETL/ELT architecture and data integration frameworks. AWS experience ...

What we're looking for Expert SQL skills, including stored procedures and functions Strong Power BI and DAX experience Strong data warehousing knowledge - Kimball and/or Inmon Semantic modelling and paginated reporting experience Hands-on Azure Data Factory experience REST API and/or OData integration experience ...

experience where appropriate, with a clear understanding of when SQL is the preferred solution. Experience designing robust data models using methodologies such as Kimball, Star Schema or Data Vault. Strong understanding of CI/CD, Infrastructure as Code and modern software engineering practices within data platforms. Experience building ...

will have strong commercial experience in: Data Architecture and Data Modelling in enterprise environments. Dimensional modelling, star schemas, facts and dimensions, and Kimball methodologies. Designing semantic or curated data layers within modern cloud platforms. Medallion Architecture and Azure Data Lakehouse environments. Data governance, standards, and architecture best practice. ...

experience Your Skills and Experience Strong commercial experience in data modelling across enterprise environments Experience with data modelling methodologies such as dimensional modelling, Kimball, or Data Vault Exposure to modern cloud data platforms, ideally within the Microsoft ecosystem Familiarity with tools such as DBT, Python, or PySpark ...

Solution Architect to design, lead and deliver scalable, enterprise-grade data platforms. This role requires deep expertise in data architecture, dimensional data modelling (Kimball) and modern cloud-based data ecosystems (ideally Databricks) . Core Technical Expertise Strong experience in data solution architecture within enterprise environments Proven hands … expertise in data warehousing concepts and implementation Deep knowledge of Kimball dimensional modelling methodology. Platforms & Tools Experience with Databricks (preferred) or similar platforms: Snowflake, BigQuery, Redshift, Synapse, or equivalent Strong proficiency with: SQL (advanced level) Spark/PySpark Data pipeline orchestration tools (e.g., Airflow, ADF, etc.) Data Modelling ...

bronze, silver and gold layers within a Medallion Architecture. Create scalable curated data models using dimensional modelling, star schemas, facts and dimensions, and Kimball methodologies. Define semantic data layers, modelling standards, and governance frameworks to improve consistency, quality, and reusability. Manage logical and physical data models, including metadata … hands-on experience in Data Architecture and Data Modelling within enterprise-scale environments. Excellent knowledge of dimensional modelling, star schemas, semantic layers, and Kimball methodologies. Experience designing and implementing curated data models within cloud-based data platforms. Strong understanding of logical, physical, transactional, analytical, and relational data modelling ...

The Data Modeller will: Design and develop conceptual, logical and physical data models for enterprise data platforms Apply dimensional modelling approaches such as Kimball or Data Vault to support analytics use cases Collaborate with data engineers, analysts and governance teams to ensure consistent data standards Support multiple projects … following skills and experience: Strong commercial experience in data modelling across analytics or data platform environments Solid understanding of dimensional modelling techniques including Kimball or Data Vault Experience working in modern cloud data platforms, ideally within the Microsoft ecosystem or Azure Exposure to tools such as Sparx Enterprise ...

include: Designing and governing enterprise-wide data models across Medallion Architecture layers. Creating curated semantic and analytical data models using dimensional modelling and Kimball methodologies. Defining data modelling standards, governance frameworks, and data feed specifications. Collaborating with Data Engineers, Analytics Engineers, and business stakeholders to deliver high-quality … bring strong commercial experience in: Data Architecture and Data Modelling within large-scale enterprise environments. Dimensional modelling, star schemas, facts and dimensions, and Kimball methodologies. Designing and implementing Medallion Architecture frameworks. Building curated semantic layers within modern cloud data platforms. End-to-end data modelling from source systems ...