Data Engineer: Build Scalable Data Pipelines & Insights

DiDi Global; Ciudad de México; Presencial; MXN 200,000 - 400,000; Jornada completa

Descripción de la vacante

A leading mobility technology platform in Mexico City is seeking a Data Engineer to join the Strategy – Key Accounts Team. You will build and maintain data pipelines, write scalable code, and collaborate with cross-functional teams to unlock insights that drive growth. Ideal candidates have 1–2 years of experience in data engineering, proficiency in SQL, and are comfortable coding in Python or Java. This role offers an opportunity to contribute to a rapidly evolving tech organization.

Formación

• 1–2 years of experience post-graduation in data engineering or analytics.
• Strong proficiency in SQL and data querying.
• Comfortable coding in at least one programming language.

Responsabilidades

• Build and maintain data pipelines for structured and unstructured data.
• Write clean, scalable code and advanced SQL queries.
• Collaborate with stakeholders to translate data needs into solutions.

Conocimientos

SQL

Data management

Collaboration

Python

Growth mindset

Educación

1–2 years experience in data engineering or related field

Herramientas

Snowflake

Airflow

Descripción del empleo

A leading mobility technology platform in Mexico City is seeking a Data Engineer to join the Strategy – Key Accounts Team. You will build and maintain data pipelines, write scalable code, and collaborate with cross-functional teams to unlock insights that drive growth. Ideal candidates have 1–2 years of experience in data engineering, proficiency in SQL, and are comfortable coding in Python or Java. This role offers an opportunity to contribute to a rapidly evolving tech organization.