Data Engineer

hace 6 días


WorkFromHome, Colombia S&P Global A tiempo completo

Data Engineer Location: Mexico City (2 days onsite - Paseo de la Reforma 180) or Colombia - Virtual Division: S&P Global Commodity Insights Grade Level: 10 About The Role Join our Data Science and Modelling group 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. The role has a core impact on enriching datasets and adding value to our analytics content through close collaboration with onsite and offshore teams. You will design and implement advanced strategic solutions, migrate legacy processes into new technologies, and enable data governance, automation, quality monitoring, and maintenance. 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 aligned with the team strategy. What We’re Looking For We seek an experienced analyst/modeler who can translate subject-matter expertise and develop new insights for commodity-related models. The role works closely with a team of Data Analysts, Data Scientists, and analytics customers to implement analytical solutions and automate workflows. You will lead projects, often coordinating junior analysts, and manage initiatives from concept through implementation to turnover. 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 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 technology partners, stakeholders, and 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 a similar field. Experience working as an analyst in the commodity space. Experience building high quality solutions and leading processes in an Agile development environment. Knowledge of big data processing engines and large‑scale data analytics tools. Experience with continuous integration/continuous deployment (CI/CD) and conversational AI tools such as Copilot or ChatGPT. NOTE: Send your resume in English. About S&P Global Energy Our comprehensive view of global energy and commodities markets enables our customers to make superior decisions and create long-term sustainable value. We divide our core capabilities into Platts, CERA, Horizons, and Events. Benefits Health & Wellness coverage designed for mind and body. Flexible Downtime: Generous time off to stay energized. Continuous Learning: Access resources to grow career and learn new skills. Invest in Your Future: Secure financial future through competitive pay, retirement planning, and educational programs. Family-friendly perks and other fringe benefits. Beyond the basics: Retail discounts, referral incentives, and more. Our benefits vary by country. For more information visit: 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. If you need an accommodation during the application process due to a disability, please email: Job ID: | Posted On: #J-18808-Ljbffr


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