1 to 25 of 39 Kimball Methodology Jobs in the UK

Microservices, and Data Pipelines. Modern Data Tools : Experience with Kafka, Snowflake, Azure Data Factory, Azure Synapse, or Microsoft Fabric (highly desirable). Data Architecture Frameworks : Knowledge of Inmon, Kimball, and Data Vault methodologies. Nice to have certifications: Databricks Certified Data Engineer Associate Databricks Certified Data Engineer Professional ABOUT YOU You're not just a data expert-you're More ❯

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 ❯

Azure Data Factory (ADF), and you know how to turn complex data challenges into streamlined, reliable systems. You will excel in data warehouse modelling, especially with Kimball methodology and Medalion architecture approaches. With your sharp analytical skills and a passion for problem-solving, you're not just about the numbers - you love coaching and helping others grow More ❯

downstream consumption. Key outputs for the role • Develop and maintain data pipelines using Azure Data Factory (ADF), ensuring efficient and reliable data movement and transformation. • Data Modelling using Kimball, 3NF or Dimensional methodologies • Utilize SQL and Python languages to extract, transform, and load data from various sources into Azure Databricks and Azure SQL/SQL Server. • Design and 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 ❯

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 ❯

with the business and delivering complex requirements to tight timescales. Strong interest in latest data engineering technologies, best practises, techniques and trends in the data industry Required Toolsets: Kimball data modelling Microsoft SQL Server Analysis Services (Multidimensional/Tabular), Power BI Python, MDX, DAX Responsibilities The Data Manager will be responsible for supporting Head of Data and Analytics More ❯

with the business and delivering complex requirements to tight timescales. Strong interest in latest data engineering technologies, best practises, techniques and trends in the data industry Required Toolsets: Kimball data modelling Microsoft SQL Server Analysis Services (Multidimensional/Tabular), Power BI Python, MDX, DAX Responsibilities The Data Manager will be responsible for supporting Head of Data and Analytics 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 ❯

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 ❯

as normal web delivery. Main Duties and Responsibilities Contribute towards the delivery business strategy, supporting data projects through their life cycle by undertaking detailed business requirements, aligning to Agile methodology for design, development, testing and release Working with the chosen data and analytics solution partners, lead the implementation and development of Microsoft Power BI reporting, developing and maintaining System … GDPR/Data Protection) and corporate governance. Train and mentor Junior BI Developers Technical Experience An honours degree or equivalent. Data warehouse design and development experience (Kimball Methodology, building fact and dimension tables) Substantial relevant experience in working with data visualisation software Power BI. Experience of other visualisation tools such as Tableau and Qlik considered Substantial experience 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 ❯

What do I need? Experienced with data warehouse and business intelligence, including delivering low-level ETL design and physical data models. Proficient in Data Warehousing Design Methodologies (e.g., Kimball dimensional models) and Data Modelling tools (e.g., ER Studio). Strong Data Analysis skills and hands-on experience with SQL/Python for data interrogation. Working knowledge of Cloud More ❯

What do I need? Experienced with data warehouse and business intelligence, including delivering low-level ETL design and physical data models. Proficient in Data Warehousing Design Methodologies (e.g., Kimball dimensional models) and Data Modelling tools (e.g., ER Studio). Strong Data Analysis skills and hands-on experience with SQL/Python for data interrogation. Working knowledge of Cloud More ❯

Cassandra). Advanced SQL skills (DDL, DML, performance tuning) and scripting experience (PL/SQL, T-SQL, Python or Shell). Knowledge of data warehousing concepts (Inmon/Kimball) and ETL tools (e.g., Informatica). Cloud platform experience, ideally AWS (S3, Redshift, Glue) and Data Lake implementation. You may be assessed on the key critical skills relevant for 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 ❯

data warehouse solution using Snowflake Expertise and excellent proficiency with Snowflake internals and integration of Snowflake with other technologies for data processing and reporting. Data Modelling using the Kimball Methodology. Experience in developing CI/CD pipelines using Gitlab or similar. Comprehensive knowledge of data engineering, data modelling and ETL best practice Experience of working within a global 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 ❯

and NoSQL databases. Familiarity with big datatechnologies and ecosystems suchas MicrosoftSynapse/Fabric,Hadoop, Spark, Kafka, and others. Skills in data modelling and datawarehousing solutions. Experienceof dimensional modelling (Kimball). Proven Experience in designing and developing ETL/ELT processes. Knowledge of data pipeline toolssuch as Data Factory, Airflow, andNiFi. Knowledge of version controlsystems such as Git. Ability More ❯