Connected Vehicle Quality Engineer

Ford Motor Company; Naucalpan de Juárez; Presencial; MXN 500,000 - 700,000; Jornada completa

Descripción de la vacante

A leading automotive company located in Naucalpan de Juárez is seeking a Data Analytics Engineer to manage connected vehicle data projects. Key responsibilities include analyzing data to solve vehicle quality issues and collaborating with product development teams. The ideal candidate holds a Bachelor’s degree in a relevant field and has experience in Big Data Analytics, SQL, and Python. This position offers opportunities for growth and innovation.

Formación

• 2+ years of experience in data analytics.
• 1+ year of experience with query languages.
• Intermediate Python skills, including libraries like pandas and numpy.

Responsabilidades

• Collaborate with Product Development teams to analyze connected vehicle data.
• Classify and diagnose vehicle faults.
• Enhance the use of connected vehicle data through innovative methods.

Conocimientos

Big Data Analytics

SQL

Python

Data visualization tools

Strong analytical skills

Excellent communication skills

Educación

Bachelor’s Degree in Mechanical/Mechatronics Engineering, Electrical Engineering, or related field

Herramientas

Qlik

Power BI

Google BigQuery

HiveQL

Spark

Descripción del empleo

Job Description: Data Analytics Engineer - Connected Vehicle Quality

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves, and build a better world — together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves?

The EVDD Connected Vehicle Quality Early Warning team is seeking Data Analytics Engineers to manage connected vehicle data projects. This role is crucial for supporting key vehicle launches and addressing current vehicle quality issues. The engineer will manage and support the triage of Diagnostic Trouble Code (DTC) related issues during vehicle launches, develop connected vehicle data solutions for internal customers, and collaborate with engineering teams on strategic data use for problem-solving. We look for team members passionate about growing their skills, tackling exciting work, committed to customer quality, and eager to solve potential concerns.

Qualifications

Basic Qualifications:

• Bachelor’s Degree in Mechanical/Mechatronics Engineering, Electrical Engineering, or a related field in Computer Science.
• 2+ years of experience in Big Data Analytics, manipulating data to form unified datasets for analysis.
• 1+ year of experience with query languages such as SQL, HiveQL, Google BigQuery, or Spark.
• 1+ year of experience with data visualization tools (Qlik, Power BI, Looker).
• Intermediate Python skills, including libraries like pandas, numpy, matplotlib.
• Strong analytical skills.
• Excellent communication skills, both written and oral.
• Self-motivated with a high level of initiative.
• Effective organizational, planning, and time management skills.

Preferred Qualifications:

• Knowledge of web development and deployment.
• Machine Learning (ML) expertise.
• Experience ingesting large datasets from various sources (SQL, Python, Java, Hadoop, Alteryx, Qlik Sense).
• Understanding of data management principles.
• Experience with automotive systems, features, or components.
• Proficiency with GitHub and JIRA.
• Strong data visualization skills to communicate insights effectively.
• Ability to break down complex problems and develop actionable plans.
• Ability to prioritize tasks in a fast-paced, global environment.
• High technical competence, maintaining composure and decisiveness under pressure.

If you don't check every box or your experience looks different, but you believe you can bring value, we encourage you to apply!

Ford Motor Company is an Equal Opportunity Employer, committed to a diverse workforce and does not discriminate based on race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, or disability.

Responsibilities

• Collaborate with Product Development teams to analyze connected vehicle data and support problem-solving.
• Work with launch teams, engineers, and service personnel to classify and diagnose vehicle faults, implementing corrective actions to prevent warranty issues.
• Enhance the use of connected vehicle data through innovative tools and methods.
• Develop processes and tools to extract insights from large volumes of data.
• Apply project management disciplines to identify and mitigate risks.
• Support engineering decision-making using Agile Data Collection methods.
• Build strong relationships with business partners across Ford North American organizations.