Senior Data Engineer, AI-Driven Data Platforms (Hybrid)

Takeda Pharmaceutical Co.; Ciudad de México; Híbrido; MXN 900.000 - 1.400.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

Performance bonus

Food vouchers

Flexible working

Healthcare insurance

Additional time off

DEI programs

Descripción de la vacante

Takeda Pharmaceutical Co. is launching an Opportunity in Mexico City’s ICC to build data products and AI-enabled data pipelines. You will own data models, develop pipelines, and create dashboards using React, Streamlit, and Jupyter notebooks.

The role emphasizes collaboration with product, analytics, and engineering teams while mentoring junior engineers. The team values high-quality code, test coverage, and cross-functional delivery.

Formación

• 8+ years building data products as a Data Engineer or similar field.
• 8+ years working in Python and SQL with a focus on data.
• Experience leading projects, managing requirements, and timelines.
• Experience managing multiple customer-focused implementation projects across cross-functional teams.

Responsabilidades

• Collaborate with Product Managers and Solution Architects to understand requirements and build solutions.
• Own data models, prototypes, and integration solutions to drive customer success.
• Build data pipelines with unit and integration tests for high-fidelity data.
• Develop data applications, dashboards using React, Streamlit, Jupyter notebooks.
• Mentor junior engineers and drive team-wide quality improvements.

Conocimientos

Data engineering

Python

SQL

Project leadership

Dashboarding tools

Herramientas

React

Streamlit

Descripción del empleo

Takeda Pharmaceutical Co. is launching an Opportunity in Mexico City’s ICC to build data products and AI-enabled data pipelines. You will own data models, develop pipelines, and create dashboards using React, Streamlit, and Jupyter notebooks.

The role emphasizes collaboration with product, analytics, and engineering teams while mentoring junior engineers. The team values high-quality code, test coverage, and cross-functional delivery.