1 to 25 of 36 Permanent Dimensional Modelling Jobs in the UK excluding London

robust, scalable data solutions. Design and implement ETL/ELT processes to ensure efficient data ingestion, transformation, and loading. Apply STAR schema and Kimball dimensional modelling to optimise data structures for performance and usability. Extend and maintain the data warehouse, integrating financial and operational datasets (e.g., general ledger … the following role specific skills and experience: Essential: Proven experience in designing and developing Data Warehouses, with strong knowledge of STAR schema and Kimball dimensional modelling principles. Proficient in advanced T-SQL development for Data Warehousing, using recent versions of SQL Server or Azure SQL Database. Strong stakeholder More ❯

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 ❯

support decision-making, performance tracking, and regulatory needs across corporate functions. Implement and maintain robust data models across key domains using best practices in dimensional modeling, normalization, and semantic layering. Standardize data acquisition, onboarding, ingestion, transformation and distribution frameworks globally to optimize scalability, open architecture and delivery speed. Support More ❯

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 ❯

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 ❯

technologies used in the enterprise space. Software development experience using: Object-oriented languages (e.g., Python, PySpark,) and frameworks Stakeholder Management Expertise in relational and dimensional modelling, including big data technologies. Exposure across all the SDLC process, including testing and deployment. Expertise in Microsoft Azure is mandatory including components More ❯

data pipelines and integrations across cloud platforms. Strong hands-on SQL development skills including: MS SQL Server, T-SQL, indexing, stored procedures, relational/dimensional modelling, data dashboards. Any cloud platforms experience would be helpful including: such as Snowflake, Databricks, BigQuery, Azure SQL. Working closely with key stakeholders More ❯

data pipelines and integrations across cloud platforms. Strong hands-on SQL development skills including: MS SQL Server, T-SQL, indexing, stored procedures, relational/dimensional modelling, data dashboards. Any cloud platforms experience would be helpful including: such as Snowflake, Databricks, BigQuery, Azure SQL. Working closely with key stakeholders More ❯

and data validation as required The role requires: In-depth working knowledge and experience working with relational databases Background in data warehouse design (e.g. dimensional modelling) and data analysis Advanced MS SQL Server skillset (T-SQL, stored procedures, functions, dynamic SQL) Proven experience of developing complex reports using More ❯

BI Developer (SSIS, SSAS, SSRS) Expert in SQL. Should be able to write complex, nested queries, stored procedures. Background in data warehouse design (e.g. dimensional modelling) and data mining In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework AWS awareness More ❯

BI Developer (SSIS, SSAS, SSRS) Expert in SQL. Should be able to write complex, nested queries, stored procedures. Background in data warehouse design (e.g., dimensional modelling) and data mining In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework AWS awareness More ❯

stakeholders Ensuring technical readiness, scalability and quality of final deliverables What youll bring: Proven experience in modern data architecture, including data lakes, warehouses and dimensional modelling Hands-on experience with a broad suite of Azure data services Deep understanding of Data Management practices: governance, security, quality, and compliance More ❯

stakeholders Ensuring technical readiness, scalability and quality of final deliverables What youll bring: Proven experience in modern data architecture, including data lakes, warehouses and dimensional modelling Hands-on experience with a broad suite of Azure data services Deep understanding of Data Management practices: governance, security, quality, and compliance More ❯

stakeholders Ensuring technical readiness, scalability and quality of final deliverables What youll bring: Proven experience in modern data architecture, including data lakes, warehouses and dimensional modelling Hands-on experience with a broad suite of Azure data services Deep understanding of Data Management practices: governance, security, quality, and compliance More ❯

stakeholders Ensuring technical readiness, scalability and quality of final deliverables What youll bring: Proven experience in modern data architecture, including data lakes, warehouses and dimensional modelling Hands-on experience with a broad suite of Azure data services Deep understanding of Data Management practices: governance, security, quality, and compliance More ❯

stakeholders Ensuring technical readiness, scalability and quality of final deliverables What youll bring: Proven experience in modern data architecture, including data lakes, warehouses and dimensional modelling Hands-on experience with a broad suite of Azure data services Deep understanding of Data Management practices: governance, security, quality, and compliance More ❯

Ensuring technical readiness, scalability and quality of final deliverables What you'll bring: Proven experience in modern data architecture, including data lakes, warehouses and dimensional modelling Hands-on experience with a broad suite of Azure data services Deep understanding of Data Management practices: governance, security, quality, and compliance More ❯

stakeholders Ensuring technical readiness, scalability and quality of final deliverables What youll bring: Proven experience in modern data architecture, including data lakes, warehouses and dimensional modelling Hands-on experience with a broad suite of Azure data services Deep understanding of Data Management practices: governance, security, quality, and compliance More ❯

stakeholders Ensuring technical readiness, scalability and quality of final deliverables What youll bring: Proven experience in modern data architecture, including data lakes, warehouses and dimensional modelling Hands-on experience with a broad suite of Azure data services Deep understanding of Data Management practices: governance, security, quality, and compliance More ❯

stakeholders Ensuring technical readiness, scalability and quality of final deliverables What youll bring: Proven experience in modern data architecture, including data lakes, warehouses and dimensional modelling Hands-on experience with a broad suite of Azure data services Deep understanding of Data Management practices: governance, security, quality, and compliance 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 ❯