51 to 75 of 83 Dimensional Modelling Jobs in England

equivalent. SQL Programming. C# Software development. Knowledge and Skills: C# Programming to a high level of proficiency. Software analysis and design. SQL query language. Dimensional modelling. Data warehouse design concepts (Inmon or Kimball). This is a Full-Time Contract initially for 6 months - but likely to become permanent. More ❯

transformation, and orchestration workflows; experience with tools like Informatica, SnapLogic, Airflow, or DataBricks is a plus. Experience with Anaplan, other planning applications, or multi-dimensional modeling tools is highly desirable. Working knowledge of API-driven architectures, event-driven design, and cloud-native development. Experience with agile methodologies (e.g., Scrum More ❯

At least 1 year of experience in implementing a data model for an enterprise analytical platform. 4+ years of experience in developing ER and Dimensional models. Experience in the Investment domain is a must, with knowledge of Fund, Holdings, Cashflow, etc. Experience in building conceptual, logical, and physical models. More ❯

with customer teams to transform and optimize business processes through the Anaplan Platform Translating existing solutions, spreadsheets, and business problems into sophisticated Anaplan multi-dimensional models Supporting scoping, estimations, and customer presentations as part of a Solution Sales process Assisting with knowledge management, mentoring, and enablement across the Professional More ❯

is a plus Strong knowledge of modern data stack tools, including Airbyte, dbt (MUST HAVE), Snowflake, and cloud platforms like AWS. Familiarity with data modelling concepts and warehousing best practices, including dimensional modelling. Experience delivering data solutions using software engineering principles, including version control (GitHub). A proactive More ❯

is a plus Strong knowledge of modern data stack tools, including Airbyte, dbt (MUST HAVE), Snowflake, and cloud platforms like AWS. Familiarity with data modelling concepts and warehousing best practices, including dimensional modelling. Experience delivering data solutions using software engineering principles, including version control (GitHub). A proactive More ❯

is a plus Strong knowledge of modern data stack tools, including Airbyte, dbt (MUST HAVE), Snowflake, and cloud platforms like AWS. Familiarity with data modelling concepts and warehousing best practices, including dimensional modelling. Experience delivering data solutions using software engineering principles, including version control (GitHub). A proactive More ❯

is a plus Strong knowledge of modern data stack tools, including Airbyte, dbt (MUST HAVE), Snowflake, and cloud platforms like AWS. Familiarity with data modelling concepts and warehousing best practices, including dimensional modelling. Experience delivering data solutions using software engineering principles, including version control (GitHub). A proactive More ❯

is a plus Strong knowledge of modern data stack tools, including Airbyte, dbt (MUST HAVE), Snowflake, and cloud platforms like AWS. Familiarity with data modelling concepts and warehousing best practices, including dimensional modelling. Experience delivering data solutions using software engineering principles, including version control (GitHub). A proactive More ❯

is a plus Strong knowledge of modern data stack tools, including Airbyte, dbt (MUST HAVE), Snowflake, and cloud platforms like AWS. Familiarity with data modelling concepts and warehousing best practices, including dimensional modelling. Experience delivering data solutions using software engineering principles, including version control (GitHub). A proactive More ❯

is a plus Strong knowledge of modern data stack tools, including Airbyte, dbt (MUST HAVE), Snowflake, and cloud platforms like AWS. Familiarity with data modelling concepts and warehousing best practices, including dimensional modelling. Experience delivering data solutions using software engineering principles, including version control (GitHub). A proactive More ❯

is a plus Strong knowledge of modern data stack tools, including Airbyte, dbt (MUST HAVE), Snowflake, and cloud platforms like AWS. Familiarity with data modelling concepts and warehousing best practices, including dimensional modelling. Experience delivering data solutions using software engineering principles, including version control (GitHub). A proactive More ❯

is a plus Strong knowledge of modern data stack tools, including Airbyte, dbt (MUST HAVE), Snowflake, and cloud platforms like AWS. Familiarity with data modelling concepts and warehousing best practices, including dimensional modelling. Experience delivering data solutions using software engineering principles, including version control (GitHub). A proactive More ❯

is a plus Strong knowledge of modern data stack tools, including Airbyte, dbt (MUST HAVE), Snowflake, and cloud platforms like AWS. Familiarity with data modelling concepts and warehousing best practices, including dimensional modelling. Experience delivering data solutions using software engineering principles, including version control (GitHub). A proactive More ❯

is a plus Strong knowledge of modern data stack tools, including Airbyte, dbt (MUST HAVE), Snowflake, and cloud platforms like AWS. Familiarity with data modelling concepts and warehousing best practices, including dimensional modelling. Experience delivering data solutions using software engineering principles, including version control (GitHub). A proactive More ❯

is a plus Strong knowledge of modern data stack tools, including Airbyte, dbt (MUST HAVE), Snowflake, and cloud platforms like AWS. Familiarity with data modelling concepts and warehousing best practices, including dimensional modelling. Experience delivering data solutions using software engineering principles, including version control (GitHub). A proactive More ❯

is a plus Strong knowledge of modern data stack tools, including Airbyte, dbt (MUST HAVE), Snowflake, and cloud platforms like AWS. Familiarity with data modelling concepts and warehousing best practices, including dimensional modelling. Experience delivering data solutions using software engineering principles, including version control (GitHub). A proactive More ❯

is a plus Strong knowledge of modern data stack tools, including Airbyte, dbt (MUST HAVE), Snowflake, and cloud platforms like AWS. Familiarity with data modelling concepts and warehousing best practices, including dimensional modelling. Experience delivering data solutions using software engineering principles, including version control (GitHub). A proactive More ❯

is a plus Strong knowledge of modern data stack tools, including Airbyte, dbt (MUST HAVE), Snowflake, and cloud platforms like AWS. Familiarity with data modelling concepts and warehousing best practices, including dimensional modelling. Experience delivering data solutions using software engineering principles, including version control (GitHub). A proactive More ❯

is a plus Strong knowledge of modern data stack tools, including Airbyte, dbt (MUST HAVE), Snowflake, and cloud platforms like AWS. Familiarity with data modelling concepts and warehousing best practices, including dimensional modelling. Experience delivering data solutions using software engineering principles, including version control (GitHub). A proactive More ❯

is a plus Strong knowledge of modern data stack tools, including Airbyte, dbt (MUST HAVE), Snowflake, and cloud platforms like AWS. Familiarity with data modelling concepts and warehousing best practices, including dimensional modelling. Experience delivering data solutions using software engineering principles, including version control (GitHub). A proactive More ❯

is a plus Strong knowledge of modern data stack tools, including Airbyte, dbt (MUST HAVE), Snowflake, and cloud platforms like AWS. Familiarity with data modelling concepts and warehousing best practices, including dimensional modelling. Experience delivering data solutions using software engineering principles, including version control (GitHub). A proactive More ❯

is a plus Strong knowledge of modern data stack tools, including Airbyte, dbt (MUST HAVE), Snowflake, and cloud platforms like AWS. Familiarity with data modelling concepts and warehousing best practices, including dimensional modelling. Experience delivering data solutions using software engineering principles, including version control (GitHub). A proactive More ❯

technical components (e.g. ETL, Reporting, and Data Modeling), infrastructure (e.g. hardware and software) and their integration. The ideal candidate will have extensive experience in dimensional modeling, excellent problem-solving ability dealing with huge volumes of data and a short learning curve. Excellent written and verbal communication skills are required … large-scale, complex datasets using traditional or map reduce batch mechanism. Strong data modeling skills with solid knowledge of various industry standards such as dimensional modeling, star schemas, etc. Extremely proficient in writing performant SQL working with large data volumes. Experience designing and operating very large Data Warehouses. Experience More ❯

knowledge of end-to-end Data Architecture Demonstrable experience in defining and building BI/Data Warehouse Logical and Physical models, including normalised and dimensional models, as well as Data Lake architectures. Knowledge of Conceptual, Logical, and Physical Data Models Confident with mapping data from source to target. Ability … to define and build Data Migration architectures Expertise in a minimum of one data modelling tool (Erwin and/or IBM Rational System Architect) Understanding of Oracle and SQL Server. Experience in at least one of Azure, AWS, or Google architectures. Availability to start in January 2025 Nice to More ❯