Apply for Data Engineer at Ford Chennai – Full-time role with cutting-edge AI/ML projects, competitive salary & global exposure. Deadline: Nov 23, 2025.
Table of Contents
💼 Job Role & Category
Role: Data Engineer
Category: Full-Time, Onsite
Location: Chennai, Tamil Nadu
Department: Global Data Insight & Analytics
Application Deadline: November 23, 2025, 05:30 AM
🏢 Why Join Ford Motor Company?
Ford is a global automotive and mobility leader with over 120 years of innovation. Known for pioneering the assembly line and revolutionizing transportation, Ford is now driving the future with electric vehicles, autonomous technology, and connected mobility solutions. With a presence in over 125 markets worldwide, Ford India plays a critical role in the company’s digital transformation and data-driven decision-making.
At Ford, you’ll be part of a culture that values innovation, collaboration, and continuous learning. The company is recognized globally for sustainability initiatives, cutting-edge R&D, and employee empowerment programs. Joining Ford means contributing to solutions that move millions while growing your career with one of the world’s most iconic brands.
📝 Job Summary
Ford is seeking a talented Data Engineer to join its Global Data Insight & Analytics team in Chennai. This role offers the opportunity to work on high-impact projects that influence the strategic direction of the company by transforming vast datasets into actionable business intelligence. You’ll collaborate with cross-functional teams to build scalable data solutions, develop Gen AI models, and drive innovation in automotive analytics.
This is a full-time, onsite position ideal for engineering graduates with strong technical skills and a passion for solving complex business problems through data.
🔧 Key Responsibilities 🔧
✅ Influence Strategic Direction: Identify opportunities in large datasets to implement data-driven strategies that fuel cost savings, revenue growth, and profitability
📊 Business Problem Solving: Acquire deep understanding of business challenges and translate them into effective technical solutions
🔍 Data Discovery: Collaborate internally and externally to identify novel data sources and explore their potential for actionable insights
⚙️ Model Development: Drive development and delivery of analytic, statistical, and optimization models using advanced data science techniques
🤝 Agile Collaboration: Work with business partners using collaborative, agile approaches to rapidly develop user-centered solutions
🤖 Gen AI Development: Build and deploy Generative AI models to support business teams with ad-hoc queries and automation
🏗️ BI Solutions: Design, develop, deploy, and maintain business intelligence and analytics solutions that transform data into knowledge
📈 Visualization & Reporting: Present complex information through intuitive reports and interactive visualizations
📝 Technical Documentation: Translate business needs into technical specifications and maintain comprehensive implementation documentation
🚀 Continuous Learning: Stay updated on cutting-edge data science techniques, tools, and technologies to continuously improve analytical capabilities
✅ Who Can Apply?
🎓 Educational Qualifications:
- Bachelor’s or Master’s degree in:
- Computer Science Engineering
- Information Technology
- Mechanical Engineering
- Industrial Engineering
- Applied Mathematics
- Any Engineering degree with MBA from a premier institute with quantitative emphasis
💼 Experience Required:
- Proven experience as a Data Engineer (specific years not specified in job description)
- Industry experience is preferred
💡 Required Technical Skills:
Programming Languages:
- Python, R, Scala, Java (added advantage)
Database & Data Processing:
- In-depth understanding of database management systems
- Online Analytical Processing (OLAP)
- ETL (Extract, Transform, Load) frameworks
- SQL queries
- SAS, Alteryx
Cloud & Big Data:
- Google Cloud Platform (GCP) experience:
- BigQuery
- Data Prep
- Data Fusion
Visualization Tools:
- Microsoft Power BI
- Qliksense
- Tableau
🧠 Soft Skills:
- Strong analytical mind with problem-solving aptitude
- Proven ability to take initiative and drive innovative approaches
- Excellent oral, written, and interpersonal communication skills
- Experience writing and speaking about technical concepts to diverse audiences (business, technical, and non-technical)
- Data-driven presentation skills
📜 Certifications:
Not specified in job description
🌍 Work Location & Type
📍 Location: 15 Plot No 13, Chennai, Tamil Nadu, 600119, India
🏢 Work Type: Onsite (Not Remote)
⏰ Schedule: Full-Time
💰 Salary Insights
While the exact salary is not specified in the job description, Data Engineers at Ford India typically earn competitive packages based on experience and skills:
💵 Salary Range (India):
- Freshers/Entry-Level: ₹6–10 LPA
- Mid-Level (3-5 years): ₹10–18 LPA
- Senior Level (5+ years): ₹18–30 LPA
💡 Additional Components:
- Performance-based bonuses
- Annual increments
- Stock options (varies by level)
- Location-specific allowances
Actual compensation may vary based on qualifications, experience, interview performance, and internal pay equity.
🎁 Perks & Benefits
Ford offers a comprehensive benefits package designed to support employee well-being and professional growth:
🏥 Health & Wellness:
- Comprehensive medical insurance for employees and family
- Dental and vision coverage
- Annual health check-ups
- Mental health support programs
💼 Financial Benefits:
- Performance-based bonuses and incentives
- Employee Stock Purchase Plan (ESPP)
- Retirement benefits and provident fund
- Relocation assistance (if applicable)
📚 Learning & Development:
- Access to global training programs
- Technical certifications sponsorship
- Leadership development initiatives
- Conference and workshop attendance
🏖️ Work-Life Balance:
- Paid time off and holidays
- Parental leave policies
- Flexible work arrangements (role-dependent)
- Employee assistance programs
🚗 Employee Discounts:
- Vehicle purchase programs
- Service discounts
- Partnerships with lifestyle brands
🌟 Career Growth:
- Global mobility opportunities
- Mentorship programs
- Internal job rotation
- Cross-functional project exposure
📝 How to Apply
📢 How to Apply for Ford Data Engineer Recruitment 2025:
Step 1: Click on the “Apply Now” button below
Step 2: You’ll be redirected to Ford’s official careers portal
Step 3: Register/Login to the portal using your email
Step 4: Fill in all required details accurately
Step 5: Upload your updated resume and relevant documents
Step 6: Review all information carefully for accuracy
Step 7: Submit your application before the deadline
⚠️ Important Dates:
- Posting Date: November 20, 2025
- Last Date to Apply: November 23, 2025, 05:30 AM (IST)
Job Identification Number: 52885
📢 Share this opportunity with friends who might be interested! 😇
💬 Drop your questions in the comments below or connect with Ford recruiters on LinkedIn.
❓ Frequently Asked Questions (FAQs)
1. What is the selection process for Ford Data Engineer role?
The typical selection process at Ford includes:
- Online application screening
- Technical assessment/coding test
- Multiple rounds of interviews (technical + HR)
- Background verification
- Offer rollout
Exact process may vary; candidates will be notified via email.
2. Is this role open to fresh graduates?
The job description requires “proven experience as a Data Engineer,” which suggests prior experience is preferred. However, candidates with strong technical skills, relevant internships, or project experience in data engineering may be considered. Industry experience is mentioned as preferred, not mandatory.
3. Does Ford allow remote work for this position?
No. The job description explicitly states “Remote: No” – this is an onsite role based in Chennai, Tamil Nadu.
4. What programming languages are most important for this role?
Based on the job description, the essential languages are:
- SQL (required for database queries)
- Python (most commonly used in data engineering)
- Experience with R, Scala, or Java is mentioned as an “added advantage”
5. Is knowledge of Gen AI mandatory?
The job description mentions the “ability to develop optimization and creating Gen AI models” as a responsibility. While strong data engineering fundamentals are essential, familiarity with Generative AI concepts and large language models would be highly beneficial.
6. What cloud platform experience is required?
The role specifically requires experience with Google Cloud Platform (GCP), particularly:
- BigQuery (data warehouse)
- Data Prep (data wrangling)
- Data Fusion (data integration)
Experience with other cloud platforms (AWS, Azure) may be helpful but GCP is emphasized.
7. Can I apply if I have an MBA but non-engineering background?
The qualification states: “Engineering degree with MBA from a premier institute and quantitative emphasis.” This suggests an engineering undergraduate degree is required, with an optional MBA as additional qualification.
8. What is the notice period expectation?
Not specified in the job description. This will likely be discussed during the interview process. Standard industry practice in India ranges from 30-90 days.
🎯 Final Tips for Applicants
✅ Tailor your resume to highlight relevant data engineering projects and GCP experience
✅ Prepare a portfolio showcasing visualization dashboards (Power BI/Tableau)
✅ Brush up on SQL and Python coding questions
✅ Research Ford’s digital transformation initiatives to discuss in interviews
✅ Apply before the deadline – November 23, 2025, 05:30 AM IST
✅ Follow up via LinkedIn or email if you don’t hear back within 2 weeks