Data Engineer
hace 2 semanas
Grade Level (for internal use):
10The 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 Platts Analytics businesses to design and implement advanced strategic solutions and migrate the legacy processes into new technologies that enable data governance, automation, data 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 modernized 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. This role will be expected to lead projects, often coordinating and directing the efforts of more junior analysts. You will often have responsibility for projects from cradle to grave, developing or coordinating work from concept to implementation to turnover/retirement. Less-senior analysts/modelers with the potential to grow into the leadership role will be considered.
Minimum Requirements:
- Bachelor's degree in Engineering, Mathematics, Economics, Computer Science, or related disciplines
- Fluent English (Conversational and written)
- Minimum of 3 years in similar role.
- Experience of working on end-to-end analytical modelling projects: problem scoping, data gathering, modelling, insights, visualizations, 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, Large-scale data analytics tools
- copilot, chatgpt, CI/CD,.
NOTE: Send your resume in English.
About S&P Global Energy
At 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. Our four core capabilities are: Platts for news and pricing; CERA for research and advisory; Horizons for energy expansion and sustainability solutions; and Events for industry collaboration.
S&P Global Energy is a division of S&P Global (NYSE: SPGI). S&P Global enables businesses, governments, and individuals with trusted data, expertise, and technology to make decisions with conviction. We are Advancing Essential Intelligence through world-leading benchmarks, data, and insights that customers need in order to plan confidently, act decisively, and thrive economically in a rapidly changing global landscape. Learn more at
What's In It For You?
Our Mission:
Advancing Essential Intelligence.
Our People:
We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.
Our Values:
Integrity, Discovery, Partnership
Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.
Benefits:
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you—and your career—need to thrive at S&P Global.
Our benefits include:
Health & Wellness: Health care coverage designed for the mind and body.
Flexible Downtime: Generous time off helps keep you energized for your time on.
Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
For more information on benefits by country visit:
Global Hiring and Opportunity at S&P Global:
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
Recruitment Fraud Alert:
If you receive an email from a domain or any other regionally based domains, it is a scam and should be reported to S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.
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 send an email to: and your request will be forwarded to the appropriate person.
US Candidates Only: The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision -
20 - Professional (EEO-2 Job Categories-United States of America), ANLYTC Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)
-
Senior Data Engineer
hace 2 semanas
Ciudad de México, Ciudad de México Azkait A tiempo completoAzkait es una empresa Mexicana que busca y conecta el mejor talento IT con empresas Latinoamericanas y de Estados Unidos.Estamos en la búsqueda de tu talento comoSenior Data Engineer / BI Engineer.Requisitos:Licenciatura o Ingeniería pasante / titulado.Inglés conversacional intermedio avanzado (B2, C1, C2).Experiencia de 5 años o mayor como Data Engineer...
-
Data Engineer
hace 2 semanas
Ciudad de México, Ciudad de México Sproule ERCE A tiempo completoAbout UsWe empower energy companies and financial stakeholders to make confident, strategic decisions. Through technical, commercial, and operational expertise, we deliver authoritative analyses for asset valuation, regulatory reporting, portfolio optimization, and capital allocation, helping clients around the world unlock value, manage risk, and drive...
-
Data Engineer
hace 2 días
Ciudad de México, Ciudad de México Salesforce A tiempo completoTo get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySoftware EngineeringJob DetailsAbout SalesforceSalesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't...
-
Data Engineer
hace 5 días
Ciudad de México, Ciudad de México EX Squared LATAM A tiempo completoBecome an EXpert as an Data EngineerAt EX Squared LATAM, we connect top analytics and engineering talent across the region with innovative, data-driven projects. We're looking for an Data Engineer who excels at building clean, scalable, analytics-ready datasets — ideally with experience in e-commerce data models.This is a high-impact, high-autonomy role,...
-
Data Engineer
hace 3 días
Ciudad de México, Ciudad de México EX Squared LATAM A tiempo completoBecome an EXpert as an Data EngineerAtEX Squared LATAM, we connect top analytics and engineering talent across the region with innovative, data-driven projects. We're looking for anData Engineerwho excels at building clean, scalable, analytics-ready datasets — ideally with experience in e-commerce data models.This is ahigh-impact, high-autonomy role,...
-
Data Integration Engineer
hace 5 días
Ciudad de México, Ciudad de México W3Global A tiempo completoRole: Data Integration EngineerLocation : RemoteContractWe are seeking an innovative and team-oriented Data Integration Engineer to join our dynamic team. In this role, you will be responsible for building and maintaining data transformation mappings from source to destination formats. You will play a critical role in managing data flow processes, analyzing...
-
Games Data Engineer
hace 2 semanas
Ciudad de México, Ciudad de México Lionbridge A tiempo completoJob DescriptionJob Title: Data EngineerLocation: Mexico City, MexicoAt Lionbridge Games, we are dedicated to leveraging cutting-edge technologies to drive business insights and provide exceptional value to our customers. Our mission is to transform data into actionable insights that fuel innovation and drive business success.We are seeking a highly skilled...
-
Data Engineer
hace 5 días
Ciudad de México, Ciudad de México Ford Motor A tiempo completoDescriptionAs a GCP Data Engineer, you will integrate data from various sources into novel data products. You will build upon existing analytical data, including merging historical data from legacy platforms with data ingested from new platforms. You will also analyze and manipulate large datasets, activating data assets to enable enterprise platforms and...
-
Data Engineer
hace 2 semanas
Ciudad de México, Ciudad de México NEORIS A tiempo completoEPAM NEORIS es un acelerador Digital que ayuda a las compañías a entrar en el futuro, teniendo 25 años de experiencia como Socios Digitales de algunas de las mayores compañías del mundo. Somos más de 4,000 profesionales en 11 países, con nuestra cultura multicultural de startup en donde cultivamos innovación, aprendizaje continuo para crear...
-
Sr. ML Ops Engineer
hace 6 días
Ciudad de México, Ciudad de México NTT DATA A tiempo completoToyota's OneTech Data department is seeking a motivated Mid-Level Machine Learning Engineer to contribute to building scalable machine learning solutions that enhance customer intelligence and support business decision-making. Reporting to the Customer Data Science Manager at the Office of Data Science and Automation, you will collaborate with...