Data Engineer / Beverage Industry

Description

Job Summary: Coordinate and execute Data Quality and Data Engineering management, ensuring the availability, reliability, and consistency of corporate data for decision-making. Key Highlights: 1. Experience in data engineering, data integration, and data quality. 2. Knowledge of ETL/ELT and Data Warehouse. 3. Intermediate to Advanced proficiency in Power BI, Power Automate, and Power Apps. Adecco is the world’s largest Human Resources company. We are leaders in human capital management. Every day, we help over 700,000 people find jobs through our extensive network. · On behalf of our client, we are seeking 01 Data Engineer · What is your challenge? Coordinate and execute Data Quality and Data Engineering management, ensuring the availability, reliability, and consistency of corporate data through robust ingestion, validation, cleansing, and modeling processes, enabling a solid and scalable foundation for Analytics, Data Science, and business decision-making. · What are we looking for in you? · University graduate or professional in Systems Engineering, Industrial Engineering, Statistics Engineering, or related fields. Minimum 4 years of experience in data engineering, data integration, data quality, or similar roles; experience in the beverage or fast-moving consumer goods (FMCG) sector is desirable. Experience implementing and supporting AI and predictive analytics solutions using machine learning. Knowledge and experience in ETL/ELT and Data Warehouse. BI tools: Intermediate to Advanced Power BI, Power Automate, and Power Apps (Mandatory) · What do we offer? · Direct payroll enrollment with Adecco from day one of employment. Bi-weekly and monthly salary payments. Statutory benefits (CTS, Bonus, Vacation, Social Security, Mandatory Life Insurance, Family Allowance). Training program via our virtual classroom. Up to 75% corporate discounts in Education, Health, Beauty, and Transportation.-Requirements- Minimum education level: University degree 3 years of experience Keywords: engineers, ingeniera, ing, engineer, data