12 of 12 Contract Dimensional Modelling Jobs

Azure Data Engineer - £400PD - Remote Seeking an experienced Data Engineer to design, build, and optimise data solutions within the Microsoft Azure ecosystem. The role focuses on pipeline development, data modelling, governance, and supporting analytics teams with high-quality, reliable data. Key Responsibilities: Develop and maintain scalable data pipelines using Azure Data Factory, Synapse, Databricks, and Microsoft Fabric. Build efficient … Skills & Experience: Proven experience as a Data Engineer working with Azure. Strong skills in Azure Data Factory, Synapse Analytics, Databricks, SQL Database, and Azure Storage. Excellent SQL and data modelling (star/snowflake, dimensional modelling). Knowledge of Power BI dataflows, DAX, and RLS. Experience with Python, PySpark, or T-SQL for transformations. Understanding of CI/ More ❯

Azure Data Engineer - £400PD - Remote Seeking an experienced Data Engineer to design, build, and optimise data solutions within the Microsoft Azure ecosystem. The role focuses on pipeline development, data modelling, governance, and supporting analytics teams with high-quality, reliable data. Key Responsibilities: Develop and maintain scalable data pipelines using Azure Data Factory, Synapse, Databricks, and Microsoft Fabric. Build efficient … Skills & Experience: Proven experience as a Data Engineer working with Azure. Strong skills in Azure Data Factory, Synapse Analytics, Databricks, SQL Database, and Azure Storage. Excellent SQL and data modelling (star/snowflake, dimensional modelling). Knowledge of Power BI dataflows, DAX, and RLS. Experience with Python, PySpark, or T-SQL for transformations. Understanding of CI/ More ❯

services. Required technical skills: Data Architecture & Design: Data Lakes (eg, AWS S3, Azure Data Lake, Google Cloud Storage), Data Mesh principles, domain-oriented data ownership and federated. governance, data modelling (OLAP/OLTP, dimensional modelling, schema evolution). Data Engineering & Pipelines: ETL pipelines (using tools like AWS Glue, Apache Spark), Map-Reduce, streaming data platforms (eg, Kafka More ❯

data products on which they can add reporting and analytics. The candidate will be required to deliver to all stages of the data engineering process – data ingestion, transformation, data modelling and data warehousing, and build self-service data products. The role is a mix of Azure cloud delivery and on-prem (SQL) development. Ultimately all on-prem will be … and knowledge: Excellent data analysis and exploration using T-SQL Strong SQL programming (stored procedures, functions) Extensive experience with SQL Server and SSIS Knowledge and experience of data warehouse modelling methodologies (Kimball, dimensional modelling, Data Vault 2.0) Experience in Azure – one or more of the following: Data Factory, Databricks, Synapse Analytics, ADLS Gen2 Experience in building robust More ❯

Demonstrated experience in data engineering within the Azure cloud environment. Proficiency with Azure Data Factory, Synapse Analytics, Databricks, Azure SQL, and Azure Storage. Strong SQL skills and expertise in dimensional modelling (e.g., star/snowflake schemas). Familiarity with Power BI dataflows, DAX, and RLS setup. Hands-on experience with Python, PySpark, or T-SQL for data processing More ❯

Spotfire Lead Consultant (Spotfire to Power BI Migration) Location: Central London & Remote Type: Contract Spotfire Architect with strong data modelling skills to lead and support the migration of complex Spotfire reports to Power BI. The role requires deep technical expertise in Spotfire s visual and scripting frameworks, alongside the ability to reverse-engineer, redesign and optimize data models for …/dashboards in Spotfire 8+ years of experience in BI & analytics with at least 5 years in Spotfire (including architecture, scripting, and advanced configurations). Strong experience with data modelling for BI platforms; dimensional modelling, fact/dimension tables, normalisation/denormalisation. Hands-on expertise with IronPython scripting, custom expressions, data functions (TERR/Python/R More ❯

business requirements into clear, actionable reporting solutions Essential Skills and Experience Strong, proven experience in Power BI development within an Asset Management environment Strong, proven experience in advanced data modelling , DAX , and data transformation Expertise with star schemas , dimensional modelling semantic models , and dataflows Solid understanding of data security, access controls, and distribution practices Experience with data More ❯

business requirements into clear, actionable reporting solutions Essential Skills and Experience Strong, proven experience in Power BI development within an Asset Management environment Strong, proven experience in advanced data modelling , DAX , and data transformation Expertise with star schemas , dimensional modelling semantic models , and dataflows Solid understanding of data security, access controls, and distribution practices Experience with data More ❯

M), KQL, and Power BI Service. Expertise in SQL and relational database design. Familiarity with Azure DevOps for CI/CD and version control. Understanding of data warehousing and dimensional modelling. Effective communication and agile team collaboration. Required Skills Strong Power BI development experience (reports, dashboards, data models). Advanced knowledge of DAX, Power Query (M), KQL, and Power … BI Service. Expertise in SQL and relational database design. Familiarity with Azure DevOps for CI/CD and version control. Understanding of data warehousing and dimensional modelling. Effective communication and agile team collaboration. Preferred Skills Experience with Azure Data Services (SQL, Data Factory, Synapse). Knowledge of reporting governance, security, and performance optimization. Integration with Microsoft tools (SharePoint, Power More ❯

M), KQL, and Power BI Service. Expertise in SQL and relational database design. Familiarity with Azure DevOps for CI/CD and version control. Understanding of data warehousing and dimensional modelling. Effective communication and agile team collaboration. Required Skills Strong Power BI development experience (reports, dashboards, data models). Advanced knowledge of DAX, Power Query (M), KQL, and Power … BI Service. Expertise in SQL and relational database design. Familiarity with Azure DevOps for CI/CD and version control. Understanding of data warehousing and dimensional modelling. Effective communication and agile team collaboration. Preferred Skills Experience with Azure Data Services (SQL, Data Factory, Synapse). Knowledge of reporting governance, security, and performance optimization. Integration with Microsoft tools (SharePoint, Power More ❯

M), KQL, and Power BI Service. Expertise in SQL and relational database design. Familiarity with Azure DevOps for CI/CD and version control. Understanding of data warehousing and dimensional modelling. Effective communication and agile team collaboration. Required Skills Strong Power BI development experience (reports, dashboards, data models). Advanced knowledge of DAX, Power Query (M), KQL, and Power … BI Service. Expertise in SQL and relational database design. Familiarity with Azure DevOps for CI/CD and version control. Understanding of data warehousing and dimensional modelling. Effective communication and agile team collaboration. Preferred Skills Experience with Azure Data Services (SQL, Data Factory, Synapse). Knowledge of reporting governance, security, and performance optimization. Integration with Microsoft tools (SharePoint, Power More ❯

s, involves full-time engagement from 12 January 2026 until 31 March 2026. Key Responsibilities: Engage with business stakeholders to understand and translate their data requirements Design and implement dimensional models following the Kimball methodology Create conceptual, logical, and physical data models for Data Warehouse, Business Intelligence, and Lakehouse architectures Manage metadata, data lineage, and governance to ensure model … engineers and analysts to integrate and validate models Maintain clear communication with stakeholders and manage their expectations Job Requirements: Proven experience in data modeling with a strong understanding of dimensional modeling, star and snowflake schemas, and normalisation principles Experienced in stakeholder management and comfortable navigating ambiguous requirements Effective communication skills with the ability to engage and manage business stakeholders More ❯