Full time
S&P Global
Av. P.º de la Reforma 180, Juárez, Cuauhtémoc, 06600 Ciudad de México, CDMX, Mexico
About the Role: Grade Level (for internal use): 10 The Role: Data Engineer Division: S&P Global Commodity Insights The Location: Mexico City (2 days onsite -Paseo de la Reforma 180) or Colombia - Virtual. The Team: The Data Science and Modelling group is responsible for developing and automating, in collaboration with SPGCI’s analysts, processes and models that support the production of commodity analytics across the spectrum from production to refining/transformation and demand. We are a multi-disciplinary team with a range of experience and specialties building solutions in a dynamic, agile manner. The Impact: This role has a core impact to our data science and modelling group responsible for enriching datasets and adding value to our analytics content through close collaboration with onsite and offshore teams to deliver Analytics data and modelling objectives. In this role you will gain a strong understanding of various commodities and...