Vehicle Propulsion Systems Engineer (PD Academy)

Ford - Lincoln Veteran Careers Program; Naucalpan de Juárez; On-site; MXN 240,000 - 360,000; Full time

Job summary

Ford of Mexico's PD Academy program combines role-specific training with an applied engineering project within Vehicle Propulsion Systems Engineering. In this entry-level development role, you will use data engineering, analytics, and foundational data science to support VPSE decisions on fuel economy, emissions, performance, and calibration quality on Google Cloud Platform.

You will build data pipelines, develop GCP solutions with BigQuery, Cloud Functions, and Tekton-based pipelines, implement

Qualifications

• Bachelor’s degree in a related field.
• Experience or demonstrated ability in data processing, analysis, and visualization.
• Programming in Python and knowledge of SQL, ETL/ELT, data modeling, and data warehousing.
• Familiarity with Git, version control, and code review.
• Exposure to cloud platforms; GCP experience is an advantage with BigQuery, Cloud Storage, Tekton, Pub/Sub.
• IAM, least-privilege access, monitoring, CI/CD, and secure development practices.
• Automotive or powertrain data experience is an advantage.
• Strong communication, structured problem-solving, learning agility, and cross-functional collaboration.

Responsibilities

• Build and maintain data pipelines for powertrain datasets.
• Develop and support GCP solutions using Cloud Storage, Cloud Functions, Pub/Sub, and BigQuery.
• Create Tekton CI/CD pipelines for analytics code and data workflows.
• Implement event-driven processing with retries, monitoring, and idempotency.
• Support Cloud Storage design including IAM, lifecycle and retention policies.
• Apply data quality, metadata, lineage, and documentation practices.
• Develop dashboards and reports that communicate trends and insights.
• Partner with calibration, controls, IT, and cybersecurity to understand needs and deliver solutions.
• Integrate security and release controls into delivery workflows, and support monitoring and incident response.

Skills

Data processing

Data analysis

Data visualization

Python

SQL

ETL/ELT

Data modeling

Data warehousing

Git

CI/CD

Education

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

Tools

Cloud Storage

Cloud Functions

Pub/Sub

BigQuery

Tekton CI/CD

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.

We thank all candidates for their interest, but only those selected for an interview will be contacted.