A Data Engineer is required to support the development and improvement of data pipelines within a Microsoft-based analytics environment. The role focuses on ingesting, transforming, and standardising data from multiple sources to enable reliable reporting and analytics. Key Technical Responsibilities Design, build, and maintain data pipelines using SQL, Python, and R Ingest and transform structured and semi-structured data within Microsoft Fabric Improve data quality, performance, and reliability across existing pipelines Prepare analytics-ready datasets optimised for Power BI consumption Apply data modelling and transformation best practices Identify and resolve data inconsistencies, missing data, and schema issues Maintain documentation aligned to data governance standards Technical Requirements Strong SQL for data transformation and modelling Python experience for data processing and automation Working knowledge of R in a data or analytics context Hands-on experience with Microsoft Fabric or closely related Microsoft data platforms Understanding of how engineered data supports Power BI reporting Experience working with incomplete, inconsistent, or poorly structured data Desirable Experience in regulated or data-intensive environments Exposure to cloud-based Microsoft data technologies