Data Engineer

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

• 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