This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Spontaneous Application - Data Engineer based in Mexico.
This is a spontaneous opportunity for an experienced Data Engineer interested in solving complex data challenges within a fast-growing technology environment.
You will design and maintain the infrastructure that enables large-scale data collection, transformation, storage, and analysis.
Your work will directly support business decision-making, machine learning initiatives, and the development of data-driven products.
You will collaborate closely with software engineers, ML engineers, data analysts, product teams, and other stakeholders to turn data requirements into reliable solutions.
The role offers exposure to diverse technical challenges, from building scalable pipelines to optimizing data quality and performance.
You will join an engineering-focused environment that values technical excellence, ownership, problem-solving, and meaningful customer impact.
As a spontaneous application,



the opportunity may not be immediately prioritized, but strong profiles are reviewed regularly for current and future engineering needs.
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Accountabilities
Design, build, and maintain scalable data pipelines for collecting, storing, transforming, and processing data from multiple sources.
Develop and maintain robust data models and schemas that support analytics, reporting, machine learning, and product development.
Create, maintain, and optimize ETL processes that extract, transform, and load data into cloud-based data warehouses.
Work closely with ML engineers, data analysts, software developers, product teams, and other stakeholders to understand data requirements and deliver appropriate technical solutions.
Monitor data pipelines and processes to maintain high standards of data quality, reliability, availability, and performance.
Identify bottlenecks and optimize data infrastructure and proces

📌 Spontaneous Application (México)
🏢 Jobgether
📍 México