Python (Linear Programming) Engineer - Remote in México

Capgemini Engineering; Región Centro; Presencial; MXN 600.000 - 900.000; Jornada completa

Descripción de la vacante

Capgemini Engineering in Mexico is seeking a senior software/data modeling specialist to develop and maintain Python scripts that support business processes and decision making for oil and gas projects.

You will build mathematical models, optimize workflows, and implement Linear Programming while interfacing with databases, APIs, and lightweight UIs. Strong Python and Azure Cloud experience required; advanced English communication is essential.

Formación

• Bachelor degree in Computer Sciences or equivalent.
• Strong experience in Python, implementing Linear Programming, creating mathematical models, workflows and optimizing them.
• Develop mathematical models and workflows from concept to implementation, applying algorithmic thinking and analytical approaches to address business and technical challenges.
• Experience in Azure Cloud.
• Strong understanding of database interaction (SQL or NoSQL), data automation and building lightweight UIs.
• Knowledge of data quality frameworks and ETL/data processing tools.
• Ability to work with APIs for data extraction and integration.
• Advanced English communication skills.

Responsabilidades

• Develop and maintain Python scripts and applications to support business processes.
• Create and optimize math models, workflows, including uploading inputs into existing scripts, and design simple UI components where needed.
• Implement Linear Programming with Python.
• Implement data quality checks to ensure accuracy and consistency across datasets.
• Integrate and interact with databases for data storage and retrieval.
• Perform data extraction and parsing from third‑party APIs.
• Support GIS mapping tasks.

Conocimientos

Python

Linear Programming

Mathematical Modeling

Data Workflows

Azure Cloud

SQL/NoSQL

APIs

UI basics

English communication

Educación

Bachelor Degree in Computer Sciences or equivalent

Herramientas

Pyomo

Scipy

NumPy

GeoPandas

Shapely

QGIS

Descripción del empleo

Your Role

You will join a specialist group that uses advanced math, computer programs, and data to build mathematical models that make smart, fast business choices - decide where to spend money on exploration, exploitation and how to run oil and gas projects.

• Develop and maintain Python scripts and applications to support business processes.
• Create and optimize math models, workflows, including uploading inputs into existing scripts, and design simple UI components where needed.
• Implement Linear Programming with Python.
• Implement data quality checks to ensure accuracy and consistency across datasets.
• Integrate and interact with databases for data storage and retrieval.
• Perform data extraction and parsing from third‑party APIs.
• Support GIS mapping tasks.

Your Profile

• Bachelor Degree in Computer Sciences or equivalent and 4+ years of experience
• Strong experience in Python, implementing Linear Programming, creating mathematical models, workflows and optimizing them
• Develop mathematical models and workflows from concept to implementation, applying algorithmic thinking and analytical approaches to address business and technical challenges
• Experience in Azure Cloud
• Strong understanding of database interaction (SQL or NoSQL), data automation and building lightweight UIs
• Knowledge of data quality frameworks and ETL/data processing tools
• Ability to work with APIs for data extraction and integration
• Advanced English communication skills

Nice To Have

• Exposure to GIS concepts and libraries (e.g., GeoPandas, Shapely, QGIS), experience in C/C++, Python frameworks used in Linear Programming such as Scipy, Pyomo, Numpy, etc.

What You’ll Love

• Work on meaningful projects that use technology to solve real-world challenges
• Exposure to top global companies working with Capgemini (145 of the Fortune 500 companies)
• Access continuous learning through internal academies, certifications, and mentorship

All applications welcome and will be considered based on merit against the job and/or experience for the position.