1 to 25 of 32 Kimball Methodology Jobs in England

Build, CI/CD, GitHub, IAM, SQS, SNS, Aurora DB • Good experience with DBT, Apache Iceberg, Docker, Microsoft BI stack (nice to have) • Experience in data warehouse design (Kimball and lake house, medallion and data vault) is a definite preference as is knowledge of other data tools and programming languages such as Python & Spark and Strong SQL experience. More ❯

Unity Catalog. Have a strong understanding of the Databricks platform, including managing workflows, jobs, and notebooks. Be experienced in data modeling in a data warehouse using Inmon or Kimball approaches. Have experience in SQL Server development, including stored procedures, functions, and views. Have worked within an Agile software development framework. Be familiar with Data Build Tool (DBT) for More ❯

to have business intelligence knowledge in Power BI. Our must-haves: Experience withAzure Cloud Services(e.g. Data Factory, Databricks, Key Vault, Az SQL). Knowledge ofdata warehousingmethodology(e.g., Kimball and Inmon). Database development: Be able to transform and summarise data in T-SQL. Knowledge of database maintenance and administration a plus. Data pipelines: Python a plus. Automation More ❯

experience designing and implementing enterprise-scale data architecture in complex environments Deep understanding of data modelling techniques-including conceptual, logical, and physical modelling Strong expertise in Kimball methodology and dimensional modelling (e.g. star schema design) Experience with modern cloud data platforms, ideally including Microsoft Azure, Databricks, and associated tools (e.g., Azure Data Factory, Azure SQL, Synapse) Familiarity More ❯

experience designing and implementing enterprise-scale data architecture in complex environments Deep understanding of data modelling techniques-including conceptual, logical, and physical modelling Strong expertise in Kimball methodology and dimensional modelling (e.g. star schema design) Experience with modern cloud data platforms, ideally including Microsoft Azure, Databricks, and associated tools (e.g., Azure Data Factory, Azure SQL, Synapse) Familiarity More ❯

discovery, evaluating source systems and APIs, and creating stories for implementation Collaborate with third parties to ensure interoperability and integration compatibility Champion best practices in warehousing techniques (e.g. Kimball), metadata management, and performance optimisation Support delivery through integration testing, reconciliation, and reporting visualisation (e.g. Power BI, Tableau) About You: Proven experience designing data architectures for large-scale platforms More ❯

discovery, evaluating source systems and APIs, and creating stories for implementation Collaborate with third parties to ensure interoperability and integration compatibility Champion best practices in warehousing techniques (e.g. Kimball), metadata management, and performance optimisation Support delivery through integration testing, reconciliation, and reporting visualisation (e.g. Power BI, Tableau) About You: Proven experience designing data architectures for large-scale platforms More ❯

discovery, evaluating source systems and APIs, and creating stories for implementation Collaborate with third parties to ensure interoperability and integration compatibility Champion best practices in warehousing techniques (e.g. Kimball), metadata management, and performance optimisation Support delivery through integration testing, reconciliation, and reporting visualisation (e.g. Power BI, Tableau) About You: Proven experience designing data architectures for large-scale platforms More ❯

discovery, evaluating source systems and APIs, and creating stories for implementation Collaborate with third parties to ensure interoperability and integration compatibility Champion best practices in warehousing techniques (e.g. Kimball), metadata management, and performance optimisation Support delivery through integration testing, reconciliation, and reporting visualisation (e.g. Power BI, Tableau) About You: Proven experience designing data architectures for large-scale platforms More ❯

discovery, evaluating source systems and APIs, and creating stories for implementation Collaborate with third parties to ensure interoperability and integration compatibility Champion best practices in warehousing techniques (e.g. Kimball), metadata management, and performance optimisation Support delivery through integration testing, reconciliation, and reporting visualisation (e.g. Power BI, Tableau) About You: Proven experience designing data architectures for large-scale platforms More ❯

Build and maintain key artefacts: ER models, data dictionaries, pipeline/lineage models Own architecture decisions and guide clients through change approval processes Champion governance and modelling standards (Kimball, warehousing best practices) Analyse source data, evaluate APIs, reverse-engineer data models Work closely with engineers to deliver cloud-based data solutions Visualise insights via tools like Power BI More ❯

Product Owners, Test Analysts, and BI 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 concepts (IaaS, PaaS, SaaS More ❯

Product Owners, Test Analysts, and BI 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 concepts (IaaS, PaaS, SaaS More ❯

ELT/ETL pipelines that ingest data from network devices (IPDR, SNMP, OSS/BSS), CRM, finance, and IoT platforms into our BI warehousing environment. • Model data using Kimball/star schemas and data vault principles to support BI and self service analytics. • Implement data quality, lineage, and observability tooling (e.g., dbt tests, Great Expectations, Azure Purview). More ❯

pipelines handling diverse data sources. You'll work closely with our clients to design the correct data models to support their analytic requirements following best practices such as Kimball star schemas and snowflake schemas, ensuring performance and ease of use for the client. You'll manage the delivery of ETL/ELT processes using tools like Matillion, Informatica More ❯

notebooks for data processing • Azure storage technologies and cost/performance characteristics • Power BI, DAX, data flows • Techniques and tools for sanitizing data prior to use • Awareness of Kimball modelling techniques We're also looking for people that fit how we work, which is something like; • happiest working under their own direction, but fully supported when needed • an More ❯

notebooks for data processing Azure storage technologies and cost/performance characteristics Power BI, DAX, data flows Techniques and tools for sanitizing data prior to use Awareness of Kimball modelling techniques We’re also looking for people that fit how we work, which is something like; happiest working under their own direction, but fully supported when needed an More ❯

data reliability, automation, and reusability Experience Required: Strong experience with Power BI and an eye for compelling, intuitive data visualisation Solid background in data warehouse design (Kimball methodology, fact/dim tables) Proficient in the Azure stack – including ADF and Azure SQL Familiarity with Agile development; DevOps experience a bonus Bonus points for experience with Tableau, Qlik More ❯

You Experience with finance/financial systems and concepts Azure Databricks Azure Data Factory Excellent SQL skills Good Python/Spark/pyspark skills Experience of Kimball Methodology and star schemas (dimensional model). Experience of working with enterprise data warehouse solutions. Experience of working with structured and unstructured data Experience of a retail environment preferred A More ❯

data reliability, automation, and reusability Experience Required: Strong experience with Power BI and an eye for compelling, intuitive data visualisation Solid background in data warehouse design (Kimball methodology, fact/dim tables) Proficient in the Azure stack - including ADF and Azure SQL Familiarity with Agile development; DevOps experience a bonus Bonus points for experience with Tableau, Qlik More ❯

data reliability, automation, and reusability Experience Required: Strong experience with Power BI and an eye for compelling, intuitive data visualisation Solid background in data warehouse design (Kimball methodology, fact/dim tables) Proficient in the Azure stack - including ADF and Azure SQL Familiarity with Agile development; DevOps experience a bonus Bonus points for experience with Tableau, Qlik More ❯

assets. What Were Looking For: Proven experience as a Senior Data Architect or Lead Data Engineer with ownership of enterprise-scale architectures. Deep expertise in data modelling (3NF, Kimball, Data Vaults) and metadata-driven design . Hands-on experience with modern data platforms, particularly Azure services : Databricks, Data Factory, Azure SQL, Cosmos DB, and more. Strong background in More ❯

be nice to have Experience in the following Languages: Python Experience with the following tools: Github Lightdash Elementary CircleCI Databricks Airflow Kubernetes DuckDB Spark Data Modelling Techniques e.g. Kimball, OBT Why else you'll love it here Wondering what the salary for this role is? Just ask us! On a call with one of our recruiters it's More ❯

you succeed in this role you're going to need Deep, hands-on experience designing and building data warehouses with strong command of dimensional modeling (e.g., Kimball methodology) Expertise in Google Cloud Platform, especially BigQuery architecture, optimization, and cost management Advanced SQL skills and production-level experience using dbt (or similar tools) to build modular, testable transformation More ❯

database development using SQL Server stack 2012 or above, Knowledge of SQL Server Suite, V12. • Experience working with Developer tools such as Azure DevOps, Visual Studio Team Server • Kimball methodologies for Data Warehousing • Strong experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases, • An analytical mindset, excellent communication and interpersonal skills, exceptional More ❯