11 of 11 Dimensional Modelling Jobs in the North of England

pipelines via Azure Data Factory, Fivetran and related tools. This role would be well-suited to a data professional with core competencies in data modelling, and who is excited by the prospect of joining new data team working with cutting-edge technologies! Requirements: Strong data modelling skills Strong … experience with cloud platforms such as Snowflake or Azure Synapse Analytics Hands-on experience with dbt Understanding of modern data stack principles, including layered modelling Experience with dimensional modelling and data warehouse design principles Excellent communication and ability to engage with stakeholders at all levels Benefits: Salary More ❯

foundational data assets, and work with cutting-edge technologies like Snowflake, DBT, Microsoft Azure, and Power BI and next-gen BI platforms. Responsibilities Data Modelling & Transformation Design and maintain clean, modular data models in Snowflake, applying analytics engineering best practices using DBT. Build curated data layers (staging, intermediate, and … a reliable, enterprise-grade data foundation. Requirements Proven experience in analytics engineering or advanced BI/data roles with a strong focus on data modelling and transformation Proficiency in SQL and cloud data platforms such as Snowflake or Azure Synapse Analytics Hands-on experience with DBT for developing, testing … and documenting transformations Understanding of modern data stack principles, including layered modelling, modular SQL, and Git-based workflows Familiarity with dimensional modelling, OBT, activity schemes & data warehouse design principles Strong communication skills, with the ability to translate data into business context A proactive, detail-oriented mindset and More ❯

on at least two Azure implementations Experience with Databricks architecture and development on Azure and AWS platforms Expertise in data architecture concepts such as dimensional modelling, data vault, data mesh Understanding of data management and governance concepts such as data quality, metadata management, etc. Experience in designing data More ❯

setting or equivalent tools (Informatica, SSIS). Solid SQL development and performance tuning capabilities. Exposure to web APIs and Python (desirable). Understanding of dimensional modelling (Kimball methodology). Hands-on experience with Power BI for enterprise reporting. What’s in it for you as their BI Engineer 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 ❯

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 ❯