9 of 9 Kimball Methodology Jobs in the South East

skills for data manipulation and automation.Hands-on experience with cloud platforms (AWS, Azure, GCP).Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon).Familiarity with data lake architectures and distributed processing frameworks (e.g., Spark, Hadoop).Experience with version control tools (GitHub, Bitbucket) and CI/ ...

Working closely with stakeholders to understand business requirements and translate them into technical solutions. Designing and implementing effective data models using Kimball methodology principles. Ensuring data quality, governance and platform reliability. Collaborating with consultants, engineers and clients to deliver successful projects. Key Skills and Experience Strong experience … development skills. Experience building and maintaining ETL/ELT data pipelines. Strong understanding of data modelling and warehousing concepts. Knowledge of Kimball methodology. Why Apply? Competitive salary up to £90,000 Opportunity to boost skills around modern Microsoft technologies. Private healthcare, bonus scheme and enhanced benefits package. Opportunity ...

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 ...

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. ...

rather than siloed specialisms. What you'll be doing Writing and maintaining stored procedures, functions and complex SQL within a data warehousing context (Kimball or Inmon), not just ad hoc querying Building DAX-driven Power BI semantic models and producing paginated/SSRS-style reports — not solely dashboard ...

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 ...

Role: Lead Analytics Engineer Mandatory Required Skills Expert Snowflake knowledge and advanced dbt (Core/Cloud) experience. Modelling Concepts: Semantic Modelling, Dimensional Modelling (Kimball), Business/Logical/Physical Modelling. Skills: Software engineering mindset applied to SQL; git workflows, and automated testing. Detailed Job Description Key Responsibilities Build … query performance tuning. Technical Requirements Core Platforms: Expert Snowflake knowledge and advanced dbt (Core/Cloud) experience. Modeling Concepts: Semantic Modeling, Dimensional Modeling (Kimball), Business/Logical/Physical Modelling. Skills: Software engineering mindset applied to SQL; git workflows, and automated testing. #J-18808-Ljbffr ...

enterprise-wide data models across Bronze, Silver and Gold layers within a Medallion Architecture. Creating scalable curated data models using dimensional modelling and Kimball methodologies. Defining semantic data layers, standards and governance practices that ensure consistency, quality and efficiency across the data platform. Managing logical and physical data … EXPERIENCE: You will bring strong capability in: Enterprise Data Architecture and Data Modelling. Dimensional modelling, star schemas, fact and dimension modelling, and Kimball methodologies. Designing logical, physical and analytical data models across complex environments. Azure Data Lakehouse and Medallion Architecture environments. Semantic layer design and curated data model ...

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 ...