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Chennai · On-site · Oct 1
Software Development · 5001 to 10000 Employees · Schaffhausen, Switzerland
SOME SEE TECHNOLOGY. WE SEE A WAY TO MAKE CONNECTIONS. At Aptiv, we don’t just see the world differently; we work to change reality. That means developing technology that rewrites the rules of what’s possible in the pursuit of making transportation safer, greener and more connected. With us, you’ll take on challenges, take ownership and give your best toward building a better future for the world with an exceptional, diverse team filled with leaders in the industry. Together, we work to solve the world’s toughest transportation challenges by making active safety, autonomous vehicles, smart cities, high-speed data and high-power electrical systems possible. You’ll work in great teams with leading-edge tools and technology at your disposal. You’ll have the flexibility to define your career path and the chance to work in a multi-national environment with employees located global in 44 countries. Now ask yourself. Are you ready to change tomorrow with us? We’re hiring across all offices and departments! Check out our Jobs Tab above to find the perfect fit for you!
Hiring: Engineering
What employees say
+ good work good culture good location
− more work no work life balance not good compensation
More reviews on the company profile.
Glassdoor median (Engineering Manager): 34.0 LPA
Interview experience · Data Analyst
The interview began with a brief introduction about myself and my background. The interviewer then asked questions related to my resume, projects, SQL, Python, and basic data analysis concepts. They also asked a few prob
Average difficulty · Chennai · 123 reports
More interview insightsJob description
Overview
Data Engineering Manager – E2E Data Platform
Responsibilities
- Build, lead, coach, and retain a high-performing Data Engineering team in Chennai, including hiring, onboarding, goal setting, performance management, succession planning, and career development.
- Define the team’s short- and long-term technical strategy, architecture principles, platform roadmap, and capability plan in alignment with global ADAS, autonomous driving, AI/ML, and product priorities.
- Own the delivery of scalable batch and streaming platforms that ingest and process vehicle, sensor, API, file, database, and cloud-service data.
- Establish reusable platform capabilities for ingestion, ETL/ELT, transformation, data modelling, data access, and the creation of analytics-ready and ML-ready datasets.
- Provide technical direction through architecture reviews, design governance, engineering standards, and pragmatic, hands-on guidance for complex data and distributed-systems challenges.
- Own platform reliability, data quality, observability, security, privacy, retention, lineage, metadata, and compliance outcomes across the data lifecycle.
- Define service-level objectives, engineering metrics, operational reviews, incident-management practices, and continuous-improvement actions for business-critical data products.
- Drive performance and cloud-cost optimisation across compute, storage, data movement, and query workloads while balancing scalability, resilience, and delivery speed.
- Lead quarterly and annual planning, prioritisation, estimation, dependency management, risk mitigation, and predictable execution across multiple workstreams.
- Partner with AI/ML, MLOps, perception, planning, validation, labelling, cloud infrastructure, cybersecurity, product, and programme teams to translate requirements into maintainable platform capabilities.
- Represent the Chennai Data Engineering team in global leadership forums, communicate status and trade-offs clearly, and influence cross-functional decisions toward common data-platform outcomes.
- Foster a culture of ownership, inclusion, engineering excellence, customer focus, innovation, knowledge sharing, and disciplined documentation
- Build, lead, coach, and retain a high-performing Data Engineering team in Chennai, including hiring, onboarding, goal setting, performance management, succession planning, and career development.
- Define the team’s short- and long-term technical strategy, architecture principles, platform roadmap, and capability plan in alignment with global ADAS, autonomous driving, AI/ML, and product priorities.
- Own the delivery of scalable batch and streaming platforms that ingest and process vehicle, sensor, API, file, database, and cloud-service data.
- Establish reusable platform capabilities for ingestion, ETL/ELT, transformation, data modelling, data access, and the creation of analytics-ready and ML-ready datasets.
- Provide technical direction through architecture reviews, design governance, engineering standards, and pragmatic, hands-on guidance for complex data and distributed-systems challenges.
- Own platform reliability, data quality, observability, security, privacy, retention, lineage, metadata, and compliance outcomes across the data lifecycle.
- Define service-level objectives, engineering metrics, operational reviews, incident-management practices, and continuous-improvement actions for business-critical data products.
- Drive performance and cloud-cost optimisation across compute, storage, data movement, and query workloads while balancing scalability, resilience, and delivery speed.
- Lead quarterly and annual planning, prioritisation, estimation, dependency management, risk mitigation, and predictable execution across multiple workstreams.
- Partner with AI/ML, MLOps, perception, planning, validation, labelling, cloud infrastructure, cybersecurity, product, and programme teams to translate requirements into maintainable platform capabilities.
- Represent the Chennai Data Engineering team in global leadership forums, communicate status and trade-offs clearly, and influence cross-functional decisions toward common data-platform outcomes.
- Leadership experience in ADAS, autonomous driving, automotive, IoT, telemetry, sensor, image, video, or other high-volume engineering-data environments.
Qualifications
- Familiarity with MLOps platforms, feature or dataset management, ground-truth generation, and data workflows for model training, evaluation, validation, and continuous improvement.
- Higher Education Opportunities (UDACITY, UDEMY, COURSERA are available for your continuous growth and development);
- Life and accident insurance;
- Sodexo cards for food and beverages
- Well Being Program that includes regular workshops and networking events;
- EAP Employee Assistance;
- Access to fitness clubs (T&C apply);
- Creche facility for working parents;
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Job application FAQ
Last updated 1 October 2026
- How do I apply for Data Engineering Manager – E2E Data Platform at APTIV?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. APTIV may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineering Manager – E2E Data Platform role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineering Manager – E2E Data Platform remote or on-site in Chennai, Tamil Nadu?
- This listing is marked on_site with location Chennai, Tamil Nadu. Confirm details on the job description before applying.
- What skills matter for this Data Engineering Manager – E2E Data Platform role at APTIV?
- Key skills for this role include skills listed in the job description. Upload a resume to see which requirements you already meet and which are gaps.