Senior Data Engineer Lead

Mondelēz International

. Analyze and derive value from data through the application methods such as mathematics, statistics, computer science, machine learning and data visualization .

Posted 4/21/2026full-timeSanta Fé • 🇲🇽 MexicoSeniorWebsite

Tech Stack

Tools & technologies

CloudJavaJavaScriptPythonSQL

About the role

Key responsibilities & impact

Analyze and derive value from data through the application methods such as mathematics, statistics, computer science, machine learning and data visualization
Enable data-driven decision making by creating custom models or prototypes
Coordinate with other technical/functional teams to implement models and monitor results
Develop processes, techniques, and tools to analyze and monitor model performance
Architect and design scalable, resilient, and cost-effective cloud data lake solutions
Collaborate closely with business users and analysts to understand their data requirements

Requirements

What you’ll need

Approximately 10 years of professional experience in roles focused on data management, data analysis, business intelligence, or similar
Strong quantitative skillset with experience in statistics and linear algebra
Knowledge/experience with statistical programming languages including R, Python, SQL, etc.
Knowledge of machine learning techniques
Knowledge and experience in advanced statistical techniques and concepts
Multilingual coding knowledge/experience: Java, JavaScript, C, C++, etc.
Experience with Microsoft Power Automate, Power Apps, or other low-code automation tools

Benefits

Comp & perks

Health insurance
Flexible work arrangements
Professional development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data analysismachine learningstatisticsdata visualizationRPythonSQLJavaJavaScriptC++

Soft Skills

quantitative skillscollaborationcommunication