MRF Data Engineer

MRF Limited is one of India’s most respected and stable manufacturing giants. While the company is globally known for tyres, motorsports sponsorships and quality-driven engineering, MRF is now quietly strengthening its Digital Technology and Data Engineering capabilities to support large-scale enterprise systems.

This article gives you everything in one place about the Data Engineer role at MRF, including salary range, hikes, bonuses, benefits, work culture, job security, learning curve, and who this role is best suited for.

About MRF Limited – Company Overview

Founded: 1946
Industry: Motor Vehicle Parts Manufacturing
Employees: 10,000+
LinkedIn Presence: 12,000+ professionals
Global Reach: Exports to 90+ countries
Market Position: No.1 tyre manufacturer in India

MRF is known for:

Strong ethics and discipline
Long-term employee retention
Conservative but reliable business growth
High-quality manufacturing and R&D focus

Unlike flashy tech companies, MRF prioritizes stability, sustainability, and process excellence.

Why MRF Is Hiring Data Engineers

MRF operates large enterprise systems such as:

Advanced Planning Systems (APS)
Dealer Management Systems (DMS)
SAP-based operational databases
Supply chain and manufacturing analytics platforms

To modernize these systems, MRF is investing in:

Azure Cloud
Real-time data pipelines
Data lakes and analytics platforms
SAP to Cloud migration

This is where the Data Engineer role becomes critical.

Data Engineer Role at MRF – Overview

Job Details

Role: Data Engineer
Department: Digital Technology
Location: Chennai, Tamil Nadu
Work Mode: On-site
Employment Type: Full-Time
Experience Required: 2–3 years
Applicants: 100+ (Actively reviewed)

This role is engineering-focused, not a support or reporting-only position.

What You’ll Actually Work On (Practical Responsibilities)

1. Enterprise Data Management

Maintain and manage data for:
- Advanced Planning Systems
- Dealer Management Systems
Handle structured and unstructured enterprise data
Ensure proper data governance and access control

2. Azure Cloud Data Engineering

Hands-on usage of:

Azure Data Factory
Azure Data Lake
Azure SQL Warehouse
Azure Databricks
Azure Machine Learning

Work includes ETL pipelines, data ingestion, transformations, and analytics readiness.

3. Real-Time SAP → Cloud Pipelines

Build real-time data pipelines from on-prem SAP databases
Use APIs for secure data transfer
Support business-critical real-time use cases

4. Python & Analytics

Develop Python-based data models
Work with:
- PySpark
- NumPy
- Jupyter Notebook
- TensorFlow (basic exposure)
Perform exploratory data analysis (EDA)

5. Databases & Streaming

Azure SQL Database
Azure Cosmos DB (NoSQL)
Time-series and unstructured data
Apache Kafka for real-time streaming

6. Performance, Monitoring & CI/CD

Monitor Azure pipeline performance
Identify bottlenecks and troubleshoot production issues
Support CI/CD pipelines for data deployments

Required Skills & Background

Education

BE / B.Tech (CS or IT) / MCA
Graduation or Post Graduation preferred

Technical Skills

Strong SQL (complex queries)
Python (OOP concepts)
Azure Data Services
API development
Kafka
CI/CD fundamentals
On-prem to cloud migration experience

Soft Skills

Clear communication
Problem-solving mindset
Ability to work with functional/business teams

Salary Range at MRF (Data Engineer – Chennai)

⚠️ MRF does not officially publish salary details. The following is based on industry benchmarks and employee feedback.

Expected CTC (2–3 Years Experience)

₹8 LPA – ₹14 LPA

Salary Structure Insights

Fixed pay forms a major portion
Variable pay exists but is conservative
Salary growth is stable, not aggressive

MRF focuses more on long-term compensation stability than short-term spikes.

Salary Hikes & Appraisal Cycle

Annual Increment

Typical hike: 6% – 12%
Performance-based but conservative
Consistent yearly appraisals

Promotions

Role- and tenure-driven
Slower compared to startups
Clear hierarchy and structured growth

Bonuses & Incentives

Annual performance bonus (moderate)
Bonuses are reliable and on time
No extreme pressure-driven incentives

MRF values steady performance over aggressive targets.

Employee Benefits at MRF

Core Benefits

Provident Fund (PF)
Gratuity
Medical insurance (employee + dependents)
Paid leaves and holidays

Work-Life Balance

Structured working hours
Minimal last-minute firefighting
Less burnout compared to startups

Work Culture at MRF – Honest Review

Positive Aspects

✅ Strong job security
✅ Respect for discipline and processes
✅ Stable management
✅ Low attrition
✅ Clear roles and responsibilities

Challenges

⚠️ Conservative environment
⚠️ Slower decision-making
⚠️ Limited remote work flexibility
⚠️ Less experimental culture

MRF is ideal for professionals who prefer structure over chaos.

Learning & Career Growth

What You’ll Learn

Enterprise-scale data systems
SAP + Azure integration
Production-grade data pipelines
Manufacturing and supply chain data
Real-world cloud operations

Career Opportunities After MRF

Senior Data Engineer
Cloud Data Engineer
Data Platform Engineer
Azure Data Architect (long-term)

MRF experience is highly respected in enterprise and manufacturing domains.

Job Security at MRF