1 to 25 of 34 Remote Dimensional Modelling Jobs in the UK excluding London

small team of skilled Data Analysts At least 5 years’ experience in a Senior Data Analyst/Data Scientist role Demonstrable experience using data modelling (dimensional modelling), warehousing, processing (Map Reduce) and transformation techniques Expert in SQL and at least one analytical programming language (Python is preferred 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 ❯

business facing experience. Preferably in the insurance sector. Key responsibilities: Design Data Lake and Data Warehouse solutions. Design Data Models using Data Vault and Dimensional modelling methods Implement automated, reusable and efficient batch data pipelines and streaming data pipelines Work closely with Governance and Quality teams to ensure More ❯

user reports Proficiency with reporting tools such as Oracle OAS and Microsoft Power BI Deep understanding of Data Warehouse design, including Star schema and dimensional modelling Strong analytical skills and technical aptitude, with the ability to influence system architecture decisions Experience leading testing disciplines within agile projects Self More ❯

user reports Proficiency with reporting tools such as Oracle OAS and Microsoft Power BI Deep understanding of Data Warehouse design, including Star schema and dimensional modelling Strong analytical skills and technical aptitude, with the ability to influence system architecture decisions Experience leading testing disciplines within agile projects Self More ❯

warehouses. Hands on experience of delivering fully reconciled Facts and Dimensions and accurate end user reports. Knowledge of Data Warehouse design; Star schema and dimensional modelling Strong analytical skills and a technical aptitude Ability to challenge and provide input in system architecture and design decisions. Good interpersonal skills More ❯

warehouses. Hands on experience of delivering fully reconciled Facts and Dimensions and accurate end user reports. Knowledge of Data Warehouse design; Star schema and dimensional modelling Strong analytical skills and a technical aptitude Ability to challenge and provide input in system architecture and design decisions. Good interpersonal skills More ❯

warehouses. Hands on experience of delivering fully reconciled Facts and Dimensions and accurate end user reports. Knowledge of Data Warehouse design; Star schema and dimensional modelling. Strong analytical skills and a technical aptitude. Ability to challenge and provide input in system architecture and design decisions. Good interpersonal skills in More ❯

data solutions that drive business value. Key Responsibilities Build Data Products: Collaborate with business domains to design and develop ETL/ELT pipelines and dimensional models optimised for Power BI Drive Governance: Define and enforce data ownership, quality, and security standards within the Data Mesh architecture Enable Self-Service … Technical Expertise: Proven experience coding ETL/ELT pipelines with Python, SQL, or ETL tools, and proficiency in Power BI, Tableau, or Qlik Data Modelling Skills: Strong knowledge of dimensional modelling and database principles Governance Experience: Track record of working in democratized data environments, establishing controls and More ❯

strategies, data quality analysis, issue resolution, unit testing, and release management. Conduct data profiling and analysis to assess data quality, consistency, and integrity, leveraging dimensional modeling techniques where appropriate. Create and maintain data mapping documents to support ETL processes and data integration efforts to ensure clarity and consistency. Responsible More ❯

Minimum criteria Significant database experience in Snowflake or Oracle Experience of building a data warehouse using an ETL/ELT tool Star schema/dimensional modelling. Excellent SQL skills Good knowledge of standard data formats (XML, JSON, csv, etc) Proven experience of delivering BI solutions for business requirements Experience More ❯

skills in building dashboards and using visualisation tools such as Tableau (beneficial), Power BI or Looker. Experience in database design and architecture principles, e.g. dimensional modelling and strong SQL ability Some understanding or interest in programming languages such as Python. Exposure to working with CRM/ERP systems. More ❯

Data Platform technologies. - On prem and Azure knowledge - A good understating of all things data - data integration, warehousing, advanced analytics, etc - Strong knowledge of dimensional modelling techniques - Familiarity of data engineering tools and automation practices (CI/CD pipelines, DevOps etc) This is an excellent role for a 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 ❯

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 ❯

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 ❯

the business to build relationships and act as a multiplier. What we look for in you Understand, assess and effectively apply modern data architectures (dimensional model, data mesh, data lake). Experience in applying and using data observability methods effectively. Experience in modern software development practices (agile, CI/ More ❯

analysis and investigations. Experience with product management tools such as backlog management, road mapping, and prototyping. Passion for data; knowledge of data warehousing and dimensional modeling is a plus. Required Characteristics Ownership and accountability for tasks, with problem-solving skills. Collaborative mindset to work with stakeholders and development teams. More ❯

experience designing and building operationally efficient pipelines, utilising core Azure components, such as Azure Data Factory, Azure Databricks and Pyspark etc. Proven experience in modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use. Strong understanding and or use More ❯

needs and data maximisation solutions Experience with digital or data initiatives as a Product Owner, managing full lifecycle Familiarity with data architecture, engineering, analytics, modelling, visualisation, and governance Hands-on SQL experience for analysis and investigations Experience with product owner tools: backlog management, road mapping, prototyping Passion for data … with knowledge of warehousing and dimensional modelling as a plus Required Characteristics Ownership and problem-solving skills Team-oriented, stakeholder and developer collaboration Effective communication with technical and non-technical audiences Quick understanding of client contexts and business expertise If you don't fit all these exactly but More ❯

designs. Ensure alignment of low-level designs with application architecture, high-level designs, and AA Standards, Frameworks, and Policies. Analyse data sets to identify modelling logic and key attributes required for low-level design, and create and maintain appropriate documentation. Develop and update Physical Data Models (PDMS) and participate … with data warehouse and business intelligence, including delivering low-level ETL design and physical data models. Proficient in Data Warehousing Design Methodologies (e.g., Kimball dimensional models) and Data Modelling tools (e.g., ER Studio). Strong Data Analysis skills and hands-on experience with SQL/Python for data More ❯

Ensure alignment of low-level designs with application architecture, high-level designs, and AA Standards, Frameworks, and Policies. n Analyse data sets to identify modelling logic and key attributes required for low-level design, and create and maintain appropriate documentation. n Develop and update Physical Data Models (PDMS) and … data warehouse and business intelligence, including delivering low-level ETL design and physical data models. n Proficient in Data Warehousing Design Methodologies (e.g., Kimball dimensional models) and Data Modelling tools (e.g., ER Studio). n Strong Data Analysis skills and hands-on experience with SQL/Python for More ❯

Ensure alignment of low-level designs with application architecture, high-level designs, and AA Standards, Frameworks, and Policies. n Analyse data sets to identify modelling logic and key attributes required for low-level design, and create and maintain appropriate documentation. n Develop and update Physical Data Models (PDMS) and … data warehouse and business intelligence, including delivering low-level ETL design and physical data models. n Proficient in Data Warehousing Design Methodologies (e.g., Kimball dimensional models) and Data Modelling tools (e.g., ER Studio). n Strong Data Analysis skills and hands-on experience with SQL/Python for More ❯

opportunities to travel if required Required Skills and Experience Educated to degree level Demonstrated analytical and troubleshooting skills A background in financial/multi-dimensional modelling within an FP&A or Analyst team or with a Consulting background desirable High proficiency to understand and interrogate complex business data 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 ❯