Job Summary: We are seeking a strategic and analytical Data Engineer to design, build, and optimize the data architecture, strengthening data-driven decision-making. Key Highlights: 1. Design, build, and optimize the company's data architecture. 2. Ensure data availability, quality, and reliability. 3. Support the BI and analytics team in data structuring. At Altipal S.A.S., a leading company in the mass consumption sector, we are looking for a Data Engineer — a strategic, analytical, and passionate professional regarding data architecture and transformation — who will contribute to strengthening decision-making based on reliable and structured information. Position Purpose Design, build, and optimize the company's data architecture, ensuring data availability, quality, and reliability for strategic analysis and decision-making. Key Responsibilities Design and maintain data pipelines (ETL/ELT). Integrate multiple data sources (ERP, CRM, internal and external databases). Build and manage data models for analysis and visualization. Ensure data quality, governance, and security. Optimize data storage and processing procedures. Support the BI and analytics team in data structuring. Automate data loading and transformation processes. Requirements Bachelor’s degree in Systems Engineering, Data Engineering, Computer Engineering, or related fields. Minimum 2 years of experience in data engineering or data architecture. Experience building ETL/ELT processes. Knowledge of SQL and NoSQL databases. Experience with programming languages such as Python or similar for data processing. Proficiency with visualization or BI tools (Power BI, Tableau, or others). Cloud environment experience (Azure, AWS, or GCP) is desirable. Our Offer Indefinite-term contract Salary: $5,054,000 + food allowance: $178,000 Working hours: Monday to Saturday (flexible start time agreed in advance with the manager); Saturdays involve 4 working hours, with one Saturday off per month. Hybrid work mode requiring attendance at the office at least three times per week (subject to departmental needs). -Requirements- Minimum education: University / Professional Degree 2 years of experience Keywords: data