Senior/Lead Data Engineer – AI-Native Aftermarket Platform

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior/Lead Data Engineer – AI-Native Aftermarket Platform based in Mexico.

This is a senior technical leadership role focused on building and scaling the data foundations of an AI-native platform transforming the global equipment aftermarket.
You will design and own end-to-end data pipelines that power machine learning models, analytics, and operational decision-making across large-scale datasets.
The role combines deep hands-on engineering with architectural leadership, ensuring high standards for performance, reliability, and data quality.
You will work with a modern data stack, leveraging tools such as Python, SQL, dbt, Spark, and Databricks in a cloud-native environment.
Beyond execution, you will help define engineering standards, data modeling practices, and governance frameworks across the data ecosystem.
The position also includes mentoring other engineers and influencing technical direction across multiple repositories and teams.
This is a highly impactful role in a fast-moving, AI-driven environment where data is central to product innovation.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior/Lead Data Engineer – AI-Native Aftermarket Platform based in Mexico.

This is a senior technical leadership role focused on building and scaling the data foundations of an AI-native platform transforming the global equipment aftermarket.
You will design and own end-to-end data pipelines that power machine learning models, analytics, and operational decision-making across large-scale datasets.
The role combines deep hands-on engineering with architectural leadership, ensuring high standards for performance, reliability, and data quality.
You will work with a modern data stack, leveraging tools such as Python, SQL, dbt, Spark, and Databricks in a cloud-native environment.
Beyond execution, you will help define engineering standards, data modeling practices, and governance frameworks across the data ecosystem.
The position also includes mentoring other engineers and influencing technical direction across multiple repositories and teams.
This is a highly impactful role in a fast-moving, AI-driven environment where data is central to product innovation.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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