1 to 25 of 58 Kimball Methodology Jobs in the UK

experience of performance and cost engineering: query optimisation, file sizing, delta compaction, caching, capacity load patterns, capacity pooling. Significant knowledge and experience of Kimball vs data Vault vs Lakehouse, dimensional modelling, slowly changing dimensions and event-driven pipelines Desirable Significant knowledge and experience DevOps: Fabric and Git integration ...

Factory, ADLS Gen2, Azure SQL, Synapse or Databricks)Solid understanding of data warehousing and lakehouse concepts, Delta/Parquet formats and dimensional modeling (Kimball)Experience with Real-Time Intelligence (Eventstreams, Eventhouse/KQL, Activator)Ability to turn architecture documents and requirements into working, well-documented solutionsAnalytical mindset, structured ...

scale, enterprise or transformation programmes. Proven expertise designingcloud-native data platforms, including MS Fabric, Databricks and AWS Strong background in data modelling methodologies (Kimball, 3NF, Data Vault, dimensional modelling). Experience with modern data transformation approaches — familiarity with analytics engineering principles is beneficial. Deep understanding of data platforms ...

scale, enterprise or transformation programmes. Proven expertise designingcloud-native data platforms, including MS Fabric, Databricks and AWS Strong background in data modelling methodologies (Kimball, 3NF, Data Vault, dimensional modelling). Experience with modern data transformation approaches — familiarity with analytics engineering principles is beneficial. Deep understanding of data platforms ...

cloud platforms (AWS, Azure, GCP). Familiarity with Databricks Workflows and other orchestration tools. Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon). Familiarity with medallion architectures, data lakehouse principles and distributed data processing. Experience with version control tools (GitHub, Bitbucket) and CI/ ...

cloud platforms (AWS, Azure, GCP). Familiarity with Databricks Workflows and other orchestration tools. Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon). Familiarity with medallion architectures, data lakehouse principles and distributed data processing. Experience with version control tools (GitHub, Bitbucket) and CI/ ...

ingestion patterns (e.g. ETL, ELT) and their effective implementation with on-premises and cloud-based environments Knowledge of typical data modelling approaches (e.g. Kimball) Experience using the Microsoft data stack (especially Azure Data Lake, Azure Synapse, Azure Data Factory, Databricks) Experience of the full software/reporting lifecycle ...

Python. Work with Azure Databricks and Azure SQL/SQL Server to process and manage large datasets. Design and implement data models using Kimball, 3NF and dimensional modelling approaches. Develop metadata-driven pipelines to improve automation and efficiency. Work closely with technical teams and clients to understand data ...

Python. Work with Azure Databricks and Azure SQL/SQL Server to process and manage large datasets. Design and implement data models using Kimball, 3NF and dimensional modelling approaches. Develop metadata-driven pipelines to improve automation and efficiency. Work closely with technical teams and clients to understand data ...

Strong experience in data engineering, including ETL/ELT, data pipelines and modern cloud data platforms Strong understanding of data warehousing, dimensional modelling, Kimball principles and data architecture Advanced SQL/T-SQL skills, including query development, optimisation and troubleshooting Strong Python, PySpark or similar programming skills ...

including paginated/report‐server style reporting, for both interactive and operational reporting needs Strong understanding of data warehousing models (Inmon and Kimball), with previous exposure to BI solutions. A full understanding of the database development lifecycle — design, implementation, and release process. Experience working with Git, Jira ...

Spark, SQL, and Python Experience developing and optimizing batch and real-time data processing solutions Strong understanding of modern data architecture patterns, including Kimball, Data Vault, dimensional modelling, and data product design principles Experience implementing Infrastructure as Code using tools such as Terraform or CloudFormation Experience leading technical ...

stored procedure design at scale. Experience with Redgate tooling (Monitor, SQL Prompt, SQL Source Control). Hands-on data warehouse design and build Kimball-style dimensional modelling (fact/dim schemas), incremental and full-load patterns, slowly changing dimensions, ETL/ELT framework design. Production ETL development SSIS ...

Spark, SQL, and Python Experience developing and optimizing batch and real-time data processing solutions Strong understanding of modern data architecture patterns, including Kimball, Data Vault, dimensional modelling, and data product design principles Experience implementing Infrastructure as Code using tools such as Terraform or CloudFormation Experience leading technical ...

stored procedure design at scale. · Experience with Redgate tooling (Monitor, SQL Prompt, SQL Source Control). · Hands-on data warehouse design and build — Kimball-style dimensional modelling (fact/dim schemas), incremental and full-load patterns, slowly changing dimensions, ETL/ELT framework design. · Production ETL development — SSIS ...

Spark, SQL, and Python Experience developing and optimizing batch and real-time data processing solutions Strong understanding of modern data architecture patterns, including Kimball, Data Vault, dimensional modelling, and data product design principles Experience implementing Infrastructure as Code using tools such as Terraform or CloudFormation Experience leading technical ...

Actions, including AI-assisted approaches to automated testing and documentation as part of standard delivery practice Applying data modelling principles - including dimensional/Kimball, medallion architecture and source-to-target mapping - using AI tooling to draft and iterate models, with the ability to critically review outputs for correctness ...

Actions, including AI-assisted approaches to automated testing and documentation as part of standard delivery practice Applying data modelling principles — including dimensional/Kimball, medallion architecture and source-to-target mapping — using AI tooling to draft and iterate models, with the ability to critically review outputs for correctness ...

Actions, including AI-assisted approaches to automated testing and documentation as part of standard delivery practice Applying data modelling principles — including dimensional/Kimball, medallion architecture and source-to-target mapping — using AI tooling to draft and iterate models, with the ability to critically review outputs for correctness ...

maintain Gold Layer data marts in BigQuery using dbt Core, with a strong grasp of top-down/bottom-up data modelling methodologies (Kimball, OBT, or equivalent). Build and maintain Airflow-orchestrated ELT workflows across the retail media data platform, including attribution pipelines supporting campaign performance ...

Service) and proficiency in DAX and Power Query (M). Strong SQL skills and experience with relational databases. Solid understanding of data modelling (Kimball/Star Schema). Hands‐on experience with SAP data (ECC, BW extracts). Knowledge of ETL processes and data pipelines. Strong analytical ...

Teams. Skills & Experience: - Proficiency in Azure tools (Data Factory, Databricks, Synapse, etc.). - Strong SQL and experience with data warehousing (Kimball methodology). - Programming skills in Python, Scala, or PySpark. - Familiarity with Power BI, SharePoint, and data integration technologies. - Understanding of DevOps, CI/CD, and cloud ...

Teams. Skills & Experience: - Proficiency in Azure tools (Data Factory, Databricks, Synapse, etc.). - Strong SQL and experience with data warehousing (Kimball methodology). - Programming skills in Python, Scala, or PySpark. - Familiarity with Power BI, SharePoint, and data integration technologies. - Understanding of DevOps, CI/CD, and cloud ...

Strong experience in data engineering, including ETL/ELT, data pipelines and modern cloud data platforms Strong understanding of data warehousing, dimensional modelling, Kimball principles and data architecture Advanced SQL/T-SQL skills, including query development, optimisation and troubleshooting Strong Python, PySpark or similar programming skills ...

Data Tools (SSDT) Hands‐on dbt experience Experience with Power BI , including operational/paginated reporting Strong knowledge of data warehousing methodologies, including Kimball and Inmon Experience with Git, Jira and Agile development environments Desirable Experience Exposure to any of the following would be beneficial: Databricks or Snowflake ...