1 to 25 of 29 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯