Senior Discipline Engineer

Valeo; Chennai District; On-site; INR 1,200,000 - 2,200,000; Full time

Job summary

Valeo is a global automotive supplier advancing data-driven mobility. The data engineering role focuses on building scalable pipelines, integrating large datasets, and enabling ML‑enabled data products. You will work with cloud platforms, contribute to automation, and collaborate across architecture, product, and analytics teams.

The position is full-time in a collaborative, multicultural environment with growth opportunities in a leading tech-strong automotive supplier.

Qualifications

• Experience building and optimizing big data pipelines.
• Strong programming skills in Python.
• Hands-on ML experience (classification, regression).

Responsibilities

• Create and maintain optimal data pipeline architecture.
• Assist with assembling large, complex data sets that meet functional / non-functional requirements.
• Identify, design, and implement internal process improvements for automation and scalability.
• Build infrastructure for ETL from diverse sources (e.g., GCP).
• Collaborate with stakeholders to support data infrastructure needs and analytics.

Skills

Python

PyTorch

Big data pipelines

Cloud platforms

Data engineering

Tools

GCP

AWS

Azure

Job description

Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility. We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision? Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and reducing CO2 emissions. We are leader on our businesses, and recognized as one of the largest global innovative companies.

Responsibilities:

• Create and maintain optimal data pipeline architecture
• Assist with assembling large, complex data sets that meet functional / non-functional
• business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loadingof data from a wide variety of data sources and technologies eg. GCP.
• Work with and manage datasets both internal and external, with details of licensing,
• annotation format, classes/tasks, etc.
• Work with stakeholders including the Function owner, architects, Leads, Product, Data and Design teams to assist with data-related technical issues and support theirdata infrastructure needs.
• Work with data and analytics team to strive for greater functionality in our data systems.
• Build, grow and retain talent, providing technical leadership and direction
• Support for robust ML & CI /CD pipelines automation

Skills:

• Programming: Python, Pytorch
• Machine Learning: Classification, regression, clustering, CNNs and RNNs
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets
• Manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Experience in cloud Automation (GCP/Azure/AWS)
• Experience with use of software design patterns and data structures
• Expertise in python programming and good coding practices
• Excellent analysis & trouble-shooting skills using a structured documented approach
• Excellent communication skills, both written and verbal
• Strong experience in capitalising knowledge & best practices through creation and/or updating of standard
• Strong experience in training and mentoring team members
• Confident, articulate, self-motivated, determined & energetic
• Self-starter, motivated individual who can work fully autonomously

Job:

Engineering Disciplines

Organization:

Software

Schedule:

Full time

Employee Status:

Regular

Job Type:

Permanent contract

Job Posting Date:

2026-04-24

_Join Us !
Being part of our team, you will join:

• one of the largest global innovative companies, with more than 20,000 engineers working in Research & Development
• a multi-cultural environment that values diversity and international collaboration
• more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
• a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development

More information on Valeo: https://www.valeo.com_