Hybrid Data Engineer - Commodity Analytics

S&P Global, Inc.

📍 WorkFromHome, Ciudad de México, Mexico 💼 Full-time 🕒 Posted February 26, 2026

Apply Now Similar Jobs

Job Description

                A leading global information provider is seeking a Data Engineer to work collaboratively within the Data Science and Modelling group. This role emphasizes creating innovative analytical solutions and commodity models. The ideal candidate has a Bachelor's degree in a relevant field, at least three years of experience in similar roles, and proficiency in SQL, Excel, and Python. This position is based in Mexico City with a hybrid work model. Competitive benefits offered.
#J-18808-Ljbffr
            

Ready to Apply?

Submit your application today and join our talented team at S&P Global, Inc..

Submit Application

Job Details

Location WorkFromHome, Ciudad de México
Job Type Full-time
Category Bases de datos, analítica y BI
Posted Date February 26, 2026
Application Deadline April 07, 2026