Stage Data Engineer

Our Data Engineering team builds highly intuitive data solutions that underpin business functions across Sales, Marketing,   Finance   and Operations. We are   looking for a Data Engineer Intern   who   are   passionate about   learning how to build   structured, high-quality data pipelines. You will work closely with experienced data engineers, gaining exposure to Python, SQL, and Google Cloud Platform (GCP) tools such as   BigQuery   and managed Airflow, while learning how large-scale data systems   operate   in a modern digital environment.     What   you’ll   do   Support the development and maintenance of batch and real-time data processing pipelines using Python, SQL, and cloud technologies   Collaborate with data engineers, data scientists, software engineers   to understand data requirements and assist in delivering meaningful data solutions   Participate in improving data quality by assisting with testing, validation, documentation, and basic performance checks   Help conduct exploratory investigations and root-cause analyses on data issues under the guidance of senior team members   Learn and apply software engineering best practices ,   including version control, code reviews, and continuous integration workflows     Who you are   You have a strong interest in software engineering and data technologies, and you are motivated to learn how modern data infrastructure is designed and operated   You enjoy problem-solving, working with data, and collaborating with cross-functional teams   You are curious, adaptable, and eager to learn new tools, frameworks, and engineering practices   You value reliability, maintainability, and quality in your work     Must have   Currently pursuing or recently completed a BSc in Computer Science, Mathematics, Engineering, or a related quantitative field   Foundational knowledge of Python and SQL (coursework or personal projects acceptable)   Basic understanding of databases and data processing concepts   Strong analytical and problem-solving skills   Proficiency in Englis h     Nice to have   Exposure to cloud platforms such as GCP, AWS, or Azure   Experience with data processing frameworks (e.g., Apache Beam, Apache Spark) from coursework or personal experimentation   Interest in large-scale data systems and modern pipeline architectures. — Published by Sky. Apply on the employer's own posting.