Data Engineering Manager – Platform & Analytics

The Kraft Heinz Company; Ciudad de México; On-site; MXN 1,200,000 - 2,000,000; Full time

Job summary

The Kraft Heinz Company in Mexico City is seeking a Manager — Data Engineering to lead a cross-functional delivery team building data pipelines and analytics capabilities. You will own architecture decisions, manage sprint ceremonies, and collaborate with stakeholders to deliver scalable data assets that drive measurable business value.

The role emphasizes leadership, engineering excellence, and adoption of modern tooling across the data platform.

Qualifications

• Bachelor’s degree or higher in Computer Science, Statistics, Business, Information Technology, or a related field.
• 5+ years of experience in data engineering or related discipline, with at least 2 years in a technical lead or team lead capacity.
• Proven track record delivering and supporting software and data engineering capabilities in a fast-paced environment.
• Experience contributing to shared data frameworks and creating data assets used in mission-critical applications.

Responsibilities

• Lead and manage a team of data engineers, providing technical guidance and mentorship.
• Take design leadership over projects — own architecture decisions end-to-end.
• Oversee day-to-day team activities including scrum ceremonies, sprint planning, and backlog management.
• Oversee the development and operation of modern data engineering solutions: ingestion, processing, integration, governance.
• Collaborate with stakeholders to identify business needs and develop data solutions.

Skills

Python

SQL

Data modeling

Leadership

Agile

DevOps

Cloud platforms

Education

Bachelor’s degree in Computer Science or related field

Tools

dbt

Dagster

Snowflake

Cloud tooling

Job description

The Kraft Heinz Company in Mexico City is seeking a Manager — Data Engineering to lead a cross-functional delivery team building data pipelines and analytics capabilities. You will own architecture decisions, manage sprint ceremonies, and collaborate with stakeholders to deliver scalable data assets that drive measurable business value.

The role emphasizes leadership, engineering excellence, and adoption of modern tooling across the data platform.