Vehicle Propulsion Systems Engineer (PD Academy)

Ford Motor Company; Naucalpan de Juárez; On-site; MXN 270,000 - 390,000; Full time

Job summary

Ford of Mexico is launching the PD Academy in Vehicle Propulsion Systems Engineering. You will use data engineering, analytics, and foundational data science to help VPSE teams make informed decisions about fuel economy, emissions, and performance, while ensuring secure, reliable data solutions on GCP.

You will build data pipelines, support GCP services, and create Tekton-based pipelines. Collaboration with cross-functional teams is essential for production-ready insights.

Qualifications

• Bachelor’s degree in a related field.
• Experience with data processing, analysis, and visualization.
• Familiarity with Python and SQL.
• Exposure to cloud platforms, especially GCP.
• Strong communication and cross-functional collaboration.

Responsibilities

• Build and maintain data pipelines and transformation workflows for powertrain datasets.
• Develop and support GCP solutions using Cloud Storage, Cloud Functions, Pub/Sub, and BigQuery.
• Create and maintain Tekton CI/CD pipelines for analytics code, data workflows, and infrastructure changes.
• Implement event-driven processing with retry, monitoring, and idempotency practices.
• Support Cloud Storage design, including naming conventions, IAM, lifecycle and retention policies.
• Apply data quality, metadata, lineage, and documentation practices; validate pipeline integrity.
• Develop dashboards and reports that communicate trends, anomalies, and insights.
• Partner with calibration, controls, test, IT, and cybersecurity stakeholders to understand needs.
• Integrate security and release controls into delivery workflows; support monitoring and incident response.
• Collaborate with cross-functional teams to ensure production readiness.
• Continuously learn and apply best practices in data engineering.

Skills

Python

SQL

ETL/ELT

Data modeling

Data warehousing

Data analysis

Data visualization

Git

GCP

CI/CD

Education

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related field

Tools

BigQuery

Cloud Storage

Cloud Functions

Pub/Sub

Tekton

Job description

The PD Academy program is a structured development program combining role-specific training with an applied engineering project. Join Vehicle Propulsion Systems Engineering (VPSE), in this developing-professional role, you will use data engineering, analytics, and foundational data science to help VPSE teams make better-informed decisions related to fuel economy, emissions, performance, drivability, diagnostics, and calibration quality, while emphasizes secure, reliable data solutions on Google Cloud Platform (GCP), including Cloud Storage, Cloud Functions, and Tekton-based delivery pipelines.

• Build and maintain data pipelines and transformation workflows for powertrain datasets.
• Develop and support GCP solutions using Cloud Storage, Cloud Functions, Pub/Sub, and BigQuery.
• Create and maintain Tekton CI/CD pipelines for analytics code, data workflows, and infrastructure changes.
• Implement event-driven processing and apply appropriate retry, monitoring, and idempotency practices.
• Support Cloud Storage design, including naming conventions, IAM, lifecycle and retention policies, and cost-aware storage choices.
• Apply data quality, metadata, lineage, and documentation practices; validate pipeline integrity and production readiness.
• Develop dashboards and reports that communicate trends, anomalies, and useful engineering insights.
• Partner with calibration, controls, test, IT, and cybersecurity stakeholders to understand needs and deliver solutions.
• Integrate security and release controls into delivery workflows, and support monitoring and incident response.
• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related field.
• Experience or demonstrated ability in data processing, analysis, and visualization; relevant early-career experience is welcome.
• Programming ability in Python and working knowledge of SQL, ETL/ELT, data modeling, and data warehousing.
• Familiarity with Git, version control, and collaborative code review.
• Exposure to cloud platforms or analytics tools; GCP experience is an advantage. Experience with Cloud Storage, Cloud Functions, Tekton, BigQuery, or Pub/Sub is particularly relevant.
• Awareness of IAM, least-privilege access, secrets handling, monitoring, CI/CD, and secure development practices.
• Automotive or powertrain data experience is an advantage, not a requirement.
• Strong communication, structured problem-solving, learning agility, and ability to work across functions.

Ford of Mexico is committed to being an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, pregnancy, veteran status, or disability status.