12 of 12 Permanent Kimball Methodology Jobs in London

data lifecycle, from raw source to insight Experience * SQL Server, Data Warehousing, Big Data, Power BI, ETL & BI platforms, Data modelling, Kimball Methodology, Master Data Services, Data Quality (DQ), Purview * Azure Data Lake, Azure Data Factory, Logic Apps, Azure Databricks, Azure Functions, Azure Synapse * Python, Scala, PySpark ...

Deep end-to-end experience delivering enterprise Databricks analytics solutions Expertise in Lakehouse Architecture, Delta Lake, Spark, PySpark Strong data modelling skills (3NF, Kimball, Data Vault) Experience exposing Delta Lakehouse to Power BI or Tableau Skilled in Python, Scala or SQL for data engineering Experience building scalable ...

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 ...

Architecture, with a minimum of 4 years specialising in Snowflake platform design and governance. Data Architecture: Mastery of Data Warehouse design methodologies - Inmon, Kimball, and Data Vault 2.0 - with the judgement to apply the right pattern for the right use case. Technical Skills: Expert SQL and Python; hands ...

Financial Services, FinTech, or other highly regulated industries. Experience with Git and collaborative software development practices. Knowledge of modern data modelling approaches, including Kimball methodologies and Bronze/Silver/Gold architectures. Understanding of CI/CD principles and analytics engineering best practices. Experience working within larger, mature ...

with stakeholders to understand requirements, validate assumptions and shape how data should be modelled. * Apply strong data modelling practices, including star schemas and Kimball methodologies. * Support the management of the lakehouse, including incremental loads, snapshotting and data quality. * Contribute to the relationship with Databricks to help expand adoption ...

architecture, with clear ingestion, transformation, and consumption layers Creating robust data models to support analytics and reporting, following best-practice approaches such as Kimball and star schemas Supporting and enhancing the Power BI semantic layer and reporting outputs Working closely with stakeholders to translate business requirements into scalable ...

NoSQL databases, graph databases, vector stores, and data warehouses, particularly in cloud environments. Experience with data modelling techniques and data warehousing methodologies (e.g., Kimball, Inmon, Data Vault).* Hands-on experience with cloud data platforms and services (e.g., AWS, Azure, GCP). Familiarity with cloud-native data architectures ...

improve a lakehouse architecture, supporting ingestion, transformation, and consumption layers. Create robust, well-structured data models using best practice approaches such as Kimball and star schema. Work closely with business stakeholders to translate requirements into clear, usable data assets. Support and enhance the Power BI reporting layer, including ...

closely aligned data roles Experience with dbt and data transformation best practices Understanding of data warehouse modelling concepts such as medallion architecture or Kimball methodologies Familiarity with Python for data workflows Exposure to tools such as Databricks, or similar cloud-based platforms Experience working in collaborative data teams ...

cloud data environment, ideally Azure. Solid SQL capability and confidence building reliable transformation logic. Experience with data modelling concepts such as star schema, Kimball-style modelling, and semantic layers. Power BI experience across data modelling, DAX, and report development. Exposure to Databricks and lakehouse concepts, including incremental loads ...

architectural aspirations Advanced data modelling (conceptual, logical and physical) Experience with modelling tools such as Sparx Enterprise Architect Strong understanding of data methodologies (Kimball, transactional, OBT) and when to apply them Knowledge of DAMA DMBoK principles and enterprise data governance Experience working within a Microsoft stack (Azure, Fabric ...