3 of 3 Permanent Dimensional Modelling Jobs in the Thames Valley

ETL pipelines using Azure Data Factory, SSIS, and SQL Server Developing and optimising stored procedures and queries for data transformation and integration Building and maintaining data warehouse solutions and dimensional data models Supporting data integration projects and ensuring data quality, accuracy, and consistency Delivering insights through Power BI dashboards and reports Using Python and PowerShell for automation and data … Were Looking For Strong experience with SQL Server (T-SQL, stored procedures, optimisation) Hands-on expertise with Azure Data Factory (ADF) and SSIS Solid understanding of data warehousing and dimensional modelling Proven experience building ETL/data integration solutions Exposure to Power BI , Python , and PowerShell is highly desirable Financialservicesorinsuranceexperienceisdesirablebutnotessential Excellent problem-solving skills with a proactive, can More ❯

team development etc) Very strong technical skills that will include - SQL, SSIS, SSRS, SAS, Power BI, Power Platform, Azure Data Factory, Azure Data Lake, Databricks A good understanding of dimensional modelling techniques, including Kimball's Business Development Lifecycle Ability to design hybrid data solutions across on-prem and cloud data sources Expert with data engineering tools and automation More ❯

Streams, Snowpark, Time Travel, Secure Data Sharing) to improve automation and accessibility. Collaboration: Work closely with analysts and stakeholders to deliver data products and troubleshoot issues. Analytics Enablement: Implement dimensional models to provide clean, reusable datasets for reporting and advanced analytics. Monitoring & Reliability: Maintain monitoring, alerting, and cost-management processes for Snowflake and pipelines. Continuous Improvement: Contribute to shared … transformations and pipeline automation. Practical experience with Snowflake features and RBAC management. Familiarity with ingestion tools (Airbyte, Fivetran, Hevo) and cloud services (AWS preferred). Solid understanding of data modelling, governance principles, and BI enablement (Power BI). Knowledge of CI/CD and version-controlled development practices in git. Desirable: Experience with enterprise systems (CRM, BSS/OSS More ❯