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