Job Summary: We are seeking a Data Analysis and Data Engineering Intern to support data migration, integration, and structuring, building ETL pipelines and automating processes. Key Highlights: 1. Practical focus on data engineering applied to business 2. Direct participation in digital transformation projects 3. Technical mentorship and growth opportunities DATA ANALYSIS / DATA ENGINEERING INTERNSHIP A growing restaurant chain is looking for a Data Analysis / Data Engineering Intern responsible for supporting the company’s data migration, integration, and structuring efforts, participating in building ETL pipelines, automating processes, and developing systems/forms for data collection across various departments. This role emphasizes practical, business-oriented data engineering, working directly with Operations, Finance, HR, and Logistics to consolidate a reliable database enabling data-driven decision-making. REQUIREMENTS * Final-year student or recent graduate in Systems Engineering, Computer Science, Information Engineering, or related fields. * Availability to work 24–30 hours per week. * Basic–intermediate SQL knowledge (queries, simple joins). * Intermediate–advanced Excel / Google Sheets proficiency. * Intermediate Python skills. * Basic Linux knowledge. * Understanding of ETL / data integration concepts. * Preferred: Experience or interest in AppSheet or similar form-building tools. * Preferred: Knowledge of n8n or other automation platforms. * Preferred: Familiarity with cloud platforms (GCP, AWS, etc.). * Preferred: Basic Git and BI tools (Power BI / Data Studio). * Passion for data, continuous learning, and practical application. KEY RESPONSIBILITIES * Support data loading and migration from Excel, Google Sheets, and internal systems. * Participate in building and improving ETL / ELT pipelines. * Automate data flows and repetitive processes. * Support basic deployments on servers or cloud environments. * Develop digital forms for data collection from Operations, Finance, HR, and Logistics. * Clean, validate, and structure databases. * Document ETL flows, processes, and data structures. * Support integration of new data sources. * Generate basic operational reports. * Provide cross-departmental support on data-related topics. * Propose improvements to data capture, processing, and storage workflows. WORKING CONDITIONS * Work Mode: On-site * Working Hours: 24–30 hours per week * Benefits: Internship certificate, technical mentorship, and potential for growth within the team. * Direct participation in real digital transformation projects. **Application** Send your **updated CV** to: **recursos.vikingos@gmail.com** Or contact us via WhatsApp at **913\-014\-454 / 905\-466\-405** Job Type: Full-time Job Type: Full-time Work Location: On-site employment