11 of 11 Kimball Methodology Jobs in England

optimisation. Proven experience with ETL/ELT development and design patterns (incremental loads, CDC, SCD, error handling, idempotency). Strong data modelling skills (Kimball, dimensional, relational). [Data Engineer JD | Word]. Proficiency with SQL Server Agent, SSIS logging, SSISDB deployment, and orchestration workflows.. Knowledge of data governance ...

Azure Storage and Azure Functions Designing and maintaining data warehouse structures including star and snowflake schemas Applying recognised data warehousing approaches such as Kimball and Inmon Writing and optimising complex SQL queries to support analytics and reporting Ensuring strong data governance, quality, validation and reconciliation processes Partnering with ...

excellent understanding of relational databases, data structures and relationships, and a good understanding of data manipulation and modelling in line with the Kimball methodology. A proficiency in cleansing, transforming and enhancing data, structuring it to deliver high quality data models to support optimal reporting through Power ...

Skills & Experience: Hands-on experience with modern data platforms, including Snowflake. Extensive SQL experience. Strong experience in data warehouse modelling (e.g. Data Vault, Kimball, 3NF). Proven ability to design robust, scalable data models. Background may include roles such as Data Architect, Senior Data Engineer, or Data Analyst ...

business. Knowledge Required - Knowledge of operations and supply chain centric KPI calculations methods Experience building data models and flows from various sources using Kimball Dimensional Modelling techniques. Good knowledge of data warehousing and data modelling. Knowledge of a cloud data warehouse (ideally Snowflake). Strong ETL skills ...

MUST have Databricks experience Strong experience with relational and big data engines Knowledge of good data pipeline implementation and design (Concepts such as Kimball/Star Schema) Strong understanding Data warehousing concepts and modelling Proper documentation Good understanding of Agile ways of working Data Engineer, Azure, Databricks ...

domains (Higher Education, Human Resources, Finance ERP) Excellent knowledge of modelling notations and concepts like cardinality, normalisation, entity-relationship, dimensional, hierarchical, Kimball methodology, primary keys and foreign keys etc. Confident in the different types of data modelling patterns and where to use them appropriately. Experience producing conceptual ...

assets during the contract Who We're Looking For Strong experience in SQL, DBT, and Snowflake Familiarity with dimensional modelling (Kimball methodology preferred) Understanding of building models for large stakeholder groups Experience with performance optimisation, data quality, and query/resource efficiency Comfortable working in a collaborative ...

coming up with solutions- Delivery and deadline focused- Participate in the design stage (Analysis, reqs and prototyping)- Comfortable with data vault modelling and Kimball- Manage technical elements of release, ensuring testing completed Background of the BI/Data Warehouse Developers/Snr Developers: - Experience of MS SQL Server ...

optimise Microsoft SQL Server environments (2016), ensuring high performance, reliability, and scalability. Build and maintain dimensional models, relational schemas, and analytical data structures (Kimball approach preferred). Support the full project management life cycle, including requirements gathering, technical design, documentation, testing, deployment, and post-release support. Deliver application ...

experience in conceptual/logical modelling within capital markets or investment banking Proficiency in data modelling tools (e.g. Hackolade, ERwin) Exposure to Data Vault methodology desirable Required Experience Proven experience (typically 37+ years) in data modelling within financial services, banking, or large enterprise environments Strong expertise in conceptual, logical … skills and strong understanding of relational database design (e.g. Oracle, SQL Server, PostgreSQL) Experience designing and optimising data models for: Data warehouses (Kimball/Inmon methodologies) Data marts Operational data stores (ODS) Knowledge of dimensional modelling (star/snowflake schemas) Experience working with large-scale, complex, multi-source ...