Role Overview We are looking for a skilled Data Engineer to design, build, and maintain scalable data solutions that support business intelligence and analytics initiatives. You will work closely with stakeholders to transform raw data into meaningful insights, ensuring high data quality and reliability across platforms. Must have worked in the telecommunications domain. Key Responsibilities Design, develop, and maintain robust data pipelines and ETL processes Build and optimise data models to support reporting and analytics requirements Develop and enhance dashboards and reports using Power BI Write efficient and scalable SQL queries for data extraction and transformation Perform data cleansing, validation, and quality assurance to ensure accuracy Collaborate with business and technical teams to understand data requirements Troubleshoot data issues and provide innovative solutions to complex problems Support continuous improvement of data architecture and processes Key Requirements Strong experience in SQL for data manipulation and performance optimisation Hands-on experience with Power BI for dashboard development and reporting Proficiency in programming languages such as Python or R Experience in data cleansing, transformation, and data quality management Strong analytical and problem-solving skills Ability to work with large and complex datasets Good communication skills and ability to work in a collaborative environment Desirable Skills Experience with cloud platforms (e.g., Azure, AWS, or GCP) Knowledge of data warehousing concepts and architectures Exposure to big data tools or distributed systems Understanding of data governance and security best practices