Vehicle Propulsion Systems Engineer (PD Academy)

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.

Our focus is to build the best team. If you think you can bring value to Ford, love to collaborate, prioritize and aim to deliver excellence in everything you do, we encourage you to apply!

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

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