Data Engineer

About the Role: Grade Level: 10 Role: Data Engineer Division: S&P Global Commodity Insights Location: Mexico City (2 days onsite - Paseo de la Reforma 180) or Colombia - Virtual. 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. 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. Responsibilities: Create commodity models, using predictive modelling and other statistical and econometric techniques. Understand, implement, manage and maintain analytical solutions & techniques independently. Collaborate and coordinate with data, content and product management teams and provide analytical assistance for various commodity datasets. Execute with discipline and deliver appropriate documentation. Work closely with various stakeholders to collect, clean, model and visualise datasets. Extract hidden value insights and enrich accuracy of the datasets. Leverage technology and automate workflows creating modernised operational processes aligning with the team strategy. What We’re Looking For: S&P Global Commodity Insights is seeking an experienced analyst/modeler who can both translate subject matter analyst expertise as well as develop new insights to the development of commodity‑related models. This role will closely work with a team of Data Analysts, Data Scientists and Analytics customers to implement various analytical solutions and automate workflows. The candidate will lead projects, often coordinating and directing the efforts of more junior analysts, and will assume responsibility for projects from cradle to grave. Minimum Requirements: Bachelor’s degree in Engineering, Mathematics, Economics, Computer Science, or related disciplines. Fluent English (Conversational and written). Minimum of 3 years in a similar role. Experience of working on end‑to‑end analytical modelling projects: problem scoping, data gathering, modelling, insights, visualisations, monitoring and maintenance. Demonstrated ability to build constructive working relationships with various technology partners, stakeholders and other internal/external users. Experience with data automation and Machine Learning. Strong written and verbal communication skills in English. Experience using SQL, Excel and Python. Preferred Requirements: Master’s degree, preferably in economics, engineering, or similar field. Experience working as an analyst in the commodity space. Experience building high‑quality solutions and leading processes in an Agile development environment. Big data processing engines and large‑scale data analytics tools. Experience with Copilot, ChatGPT, CI/CD. Equal Opportunity Employer Equal Opportunity Employer. S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. EEO Accommodation and Contact If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster and Pay Transparency Nondiscrimination Provision information was included in the original content. #J-18808-Ljbffr