Vehicle Propulsion Systems Engineer

Ford Motor Company

Vehicle Propulsion Systems Engineering Analytics Engineer at Ford focusing on data engineering and analytics for powertrain systems. Design data workflows, automate testing, and enhance fuel economy insights.

Posted 7/16/2026full-timeNaucalpan de Juárez • 🇲🇽 MexicoJuniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in Google Cloud Platform (GCP) with a focus on Tekton Pipelines, Cloud Storage, and Cloud Functions, alongside strong capabilities in data engineering, analytics, and automation. Demonstrates expertise in Python, SQL, and BI tools to transform and operationalize data for actionable insights.

Highest-signal resume keywords

Google Cloud Platform (GCP)Python ProficiencySQL SkillsData EngineeringETL/ELT Understanding

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ProcessingData AnalysisData VisualizationData ModelingData WarehousingCloud Security ControlsEvent-Driven Data WorkflowsAutomationVersion Control with GitCollaborative Branching/Review Workflows

Tools & Technologies

TableauPower BIQlikCloud-Based Analytics Platforms

Industry Keywords

Automotive DataPowertrain DataAnalytics EngineeringData Science

Tech Stack

Tools & technologies

CloudETLGoogle Cloud PlatformPythonSQLTableau

About the role

Key responsibilities & impact

This position places strong emphasis on Google Cloud Platform (GCP), especially Tekton pipelines, Cloud Storage buckets, and Cloud Functions.
The engineer will help design event-driven data workflows, automate deployment and testing, and implement cloud security controls as part of daily delivery.
The role bridges data engineering and analytics, transforming and operationalizing data so teams can consume trusted insights faster.

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related field.
1-5+ years of relevant experience in data engineering, analytics engineering, data analysis, or data science.
Hands-on delivery experience with data processing, analysis, and visualization.
Experience with cloud-based analytics or data platforms; GCP experience strongly preferred.
Automotive and powertrain data experience is a strong advantage.
Python proficiency for data transformation, automation, and analytics workflows.
Strong SQL skills for extraction, transformation, and analytical querying.
Solid understanding of ETL/ELT, data modeling, and data warehousing concepts.
Experience with BI tools such as Tableau, Power BI, or Qlik.
Ability to analyze large and complex datasets and produce actionable engineering insights.
Version control proficiency with Git and collaborative branching/review workflows.

Benefits

Comp & perks

Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development