1 to 25 of 62 Kimball Methodology Jobs in the UK

roadmap and recommend relevant features for FRP Travel to regional offices when needed for meetings, delivery and training Qualifications Strong commercial experience of Kimball dimensional modelling and dbt transformations. Experience using Git and Azure DevOps for source control, testing and CI/CD. Strong SQL skills and experience ...

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 ...

NoSQL, graph and vector databases Streaming technologies (Kafka, Kinesis, Flink, etc.) Containers and related services (Docker, Kubernetes, container Registries, etc) Data modelling approaches (Kimball, Imnon) Orchestration tools - Apache Airflow, Prefect or cloud-native tools Backend software development (Java, APIs, Scalability, Logging and Monitoring etc.) MLFlow and other MLOps ...

pipelines in Databricks Experience working with cloud environments, preferably Azure Experience in Data Warehousing, Data Lakes, Blob Storage, Lakehouses and Data Modelling concepts (Kimball, star schemas) Strong ability to write Python code, including experience with data manipulation libraries (PySpark, Pandas etc) Strong ability to write SQL queries ...

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 ...

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 ...

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 ...

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 ...

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 ...

Databricks environment. Experience of Azure DevOps, source control and CI/CD approaches for Business Intelligence development. Strong understanding of dimensional modelling, Kimball methodologies and reporting data structures. Expert dashboard and visualisation design capabilities, with a strong focus on storytelling and user experience. Able to operate with minimal ...

applied in a Databricks environment.Experience of Azure DevOps, source control and CI/CD approaches for Business Intelligence development.Strong understanding of dimensional modelling, Kimball methodologies and reporting data structures.Expert dashboard and visualisation design capabilities, with a strong focus on storytelling and user experience.Able to operate with minimal direction ...

skills Strong experience with PySpark and large-scale data processing Hands-on experience with dbt or modern data transformation frameworks Data modelling experience (Kimball, Data Vault, Inmon) Strong understanding of data governance, lineage, security, and best practices Key Responsibilities: Design and develop scalable AWS data pipelines Build ...

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 ...

engineering. Proficiency in SQL (T-SQL/SparkSQL) for data manipulation, transformation, and querying. Solid understanding and practical application of Data Vault and Kimball data modelling methodologies. Experience designing and optimising ETL/ELT workflows for large-scale data processing. Strong understanding of data governance, data security ...

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 ...

client requirements and turn these into data models Definition of Conceptual, Logical and Physical Data Models to support client data initiatives, in Inmon, Kimball and data lakehouse models Definition of Data Flows to support BI, Data Warehouse and Data Migration application requirements including mapping the data from source ...

client requirements and turn these into data models Definition of Conceptual, Logical and Physical Data Models to support client data initiatives, in Inmon, Kimball and data lakehouse models Definition of Data Flows to support BI, Data Warehouse and Data Migration application requirements including mapping the data from source ...

client requirements and turn these into data models Definition of Conceptual, Logical and Physical Data Models to support client data initiatives, in Inmon, Kimball and data lakehouse models Definition of Data Flows to support BI, Data Warehouse and Data Migration application requirements including mapping the data from source ...

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 ...

tools (Informatica, Talend, ODI, SSIS, etc.). Hands-on expertise in Snowflake data engineering. Solid background in SQL-based data modeling methodologies (Kimball, Inmon, Data Vault) and full ETL/ELT pipeline design. Deep comprehension of modern end-to-end data ingestion and transformation patterns. Proficiency in data ...

skill, and someone strong on one will pick up another quickly Have deep SQL skills and hands‐on experience with data modelling (e.g. Kimball, medallion/lakehouse patterns, or domain-driven modelling) - this is the load‐bearing, provider‐agnostic skill underneath almost all of our pipeline work Have ...