26 to 36 of 36 Dimensional Modelling Jobs in the UK excluding London

working in a Devops Agile Environment with differing skill levels. Experience of Implementing advanced DW techniques, including but not limited to SCD, index strategies, Dimensional Modelling, Performance Optimisation Able to communicate a technical solution to a wide audience of technical and non-technical colleagues and clients. Qualifications/ ...

Design, build and maintain analytics ready data models used across the organization. Develop transformations using dbt on a Snowflake data platform. Apply best practice dimensional modelling to create reliable, well-structured datasets. SKILLS AND EXPERIENCE The successful Analytics Engineer will have the following skills and experience: Strong commercial … experience writing complex SQL for analytics and data modelling. Proven experience designing dimensional data models, ideally using Kimball principles. Hands on experience using dbt for data transformation. Experience working with cloud data warehouses, ideally Snowflake. Comfortable using Python or similar languages for data logic and problem solving. A builder ...

Design, build and maintain analytics ready data models used across the organization. Develop transformations using dbt on a Snowflake data platform. Apply best practice dimensional modelling to create reliable, well-structured datasets. SKILLS AND EXPERIENCE The successful Analytics Engineer will have the following skills and experience: Strong commercial … experience writing complex SQL for analytics and data modelling. Proven experience designing dimensional data models, ideally using Kimball principles. Hands on experience using dbt for data transformation. Experience working with cloud data warehouses, ideally Snowflake. Comfortable using Python or similar languages for data logic and problem solving. A builder ...

Design, build and maintain analytics ready data models used across the organization. Develop transformations using dbt on a Snowflake data platform. Apply best practice dimensional modelling to create reliable, well-structured datasets. SKILLS AND EXPERIENCE The successful Analytics Engineer will have the following skills and experience: Strong commercial … experience writing complex SQL for analytics and data modelling. Proven experience designing dimensional data models, ideally using Kimball principles. Hands on experience using dbt for data transformation. Experience working with cloud data warehouses, ideally Snowflake. Comfortable using Python or similar languages for data logic and problem solving. A builder ...

PySpark, Spark SQL beneficial). Experience working with structured/unstructured data, delta lake patterns, partitioning, and scalable pipeline design. Strong understanding of data modelling, including Kimball dimensional modelling. Awareness of data governance, privacy, security, and compliance. Experience with Git for version control and collaborative deployment workflows. Excellent ...

high-quality reporting, trusted insights, and data-driven decision-making at scale. What You'll Be Doing: Building curated, analytics-ready datasets using modern modelling techniques Developing robust transformation pipelines using SQL and PySpark Collaborating with Data Engineers to enhance the data platform Translating business needs into scalable, well … role Strong SQL skills and experience with complex data transformations Hands-on experience with PySpark and modern data platforms (Lakehouse preferred) Solid understanding of dimensional modelling Strong communication skills - able to work across technical and business teams A passion for clean, reliable, high-quality data ...

Office) Salary: Up to £90,000 This is an exciting opportunity to join a high-growth consultancy environment where you will shape data modelling standards, influence enterprise-level design, and work directly with senior stakeholders across complex financial services programmes. If you enjoy combining hands-on modelling with … strong footprint across financial services and energy. Their data capability exceeds 300 specialists, and their Data Architecture function is known for delivering high-quality modelling, strategy and metadata solutions across large-scale transformation programmes. They operate in a collaborative, low-ego environment where expertise is valued and career progression ...

confident, data driven decisions. Key Responsibilities Design, build, and maintain analytics models that convert raw data into trusted, business-ready datasets. Own the full modelling lifecycle (staging → core → marts). Define and maintain consistent metrics, dimensions, and business logic. Implement testing, data quality checks, and SLAs to ensure reliability. … accurate, consistent, and actionable. A degree in Computer Science, Engineering, Maths, Economics, Data Science is desirable. Advanced SQL skills and experience with analytical/dimensional modelling. Practical experience with modern ELT tools (Dataform/dbt) and Git workflows. Knowledge of cloud data warehouses, ideally BigQuery. Familiarity with orchestration tools ...

successful Analytics Engineer will have the following skills and experience: Strong commercial experience as an analytics focused engineer, rather than an analyst. Advanced data modelling capability, including dimensional modelling. Strong PySpark and SQL skills in production environments. Hands on experience with Databricks, including pipelines and governed data environments. ...

successful Analytics Engineer will have the following skills and experience: Strong commercial experience as an analytics focused engineer, rather than an analyst. Advanced data modelling capability, including dimensional modelling. Strong PySpark and SQL skills in production environments. Hands on experience with Databricks, including pipelines and governed data environments. ...

successful Analytics Engineer will have the following skills and experience: Strong commercial experience as an analytics focused engineer, rather than an analyst. Advanced data modelling capability, including dimensional modelling. Strong PySpark and SQL skills in production environments. Hands on experience with Databricks, including pipelines and governed data environments. ...