Logo da empresa Jobgether. Jobgether Estagiário Engenharia de Dados

Sobre a vaga This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Estagiário Engenharia de Dados in Brazil. This is an excellent opportunity for students who are passionate about data, technology, and innovation to start building their careers in a dynamic and data-driven environment. In this role, you will support initiatives focused on large-scale data processing, data quality improvement, and the development of intelligent solutions that help businesses make better decisions. You will collaborate with experienced professionals while gaining hands-on exposure to modern data architectures, analytical tools, and technical projects with real business impact. The position offers a fully remote and collaborative environment where learning, inclusion, and continuous development are strongly encouraged. If you are curious, analytical, and eager to grow in the field of data engineering, this internship provides an ideal foundation for your professional journey. Accountabilities Support the validation and evaluation of new technologies and technical solutions related to data engineering. Assist in processing and handling large volumes of data through modern tools and scalable architectures. Participate in projects focused on improving data quality, reliability, and consistency. Help prepare and organize data inputs for the development of new products and business solutions. Collaborate with technical teams to support data workflows and operational processes. Contribute to documentation and monitoring activities related to data initiatives. Support analytical and operational tasks within data-focused projects and continuous improvement efforts. Requirements Currently pursuing a Bachelor’s degree in Data, Technology, Computer Science, Software Development, or related fields. Must be enrolled from the 2nd semester onward and have at least one year remaining before graduation. Availability to work 6 hours per day during standard business hours. Open to candidates located anywhere in Brazil, as the role is fully remote. Strong analytical reasoning and comfort working with numbers and data. Basic knowledge of SQL is considered a plus. Familiarity with at least one programming language is considered a plus. Strong willingness to learn, collaborate, and grow in a data engineering environment. Good communication and teamwork skills. Benefits Fully remote home office work model. Home office allowance provided through Flash card. Flexible meal and food allowance via Flash card. Profit-sharing program (PLR). Comprehensive health and dental insurance coverage. Access to healthcare professionals through a dedicated wellness platform. TotalPass benefit for gyms and wellness activities across Brazil. Birthday day off. Occupational health support and medical assistance. Legal consulting support for personal matters. Educational partnerships with discounts on courses, institutions, and learning platforms. Additional benefits focused on well-being, quality of life, and professional development. How Jobgether Works We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.