Data Engineer
Confirmed on the employer's own hiring board on Nov 6, 2026. First seen by Alion on Jul 27, 2026. Embitel scores A on the Alion truth index.
About the Company
Embitel Technologies is a Volkswagen AG (VW) Group Company. VW is a German multinational automotive manufacturing corporation headquartered in Wolfsburg, Germany. VW is one of the world’s largest automaker by sales. VW sold 10.9 million vehicles in 2019. The group comprises of 12 brands from seven European Countries: Volkswagen, Audi, Lamborghini, Porsche, Bugatti, Bentley, Ducati (motorcycles), Skoda, SEAT, Scania, MAN and Volkswagen commercial vehicles.
About CARIAD (Car, I Am Digital)
The automotive industry is in disruption. As a company, CARIAD is playing a part in multiple large trends at the same time: electrification, automation, and digitalization. The new name builds on changing customer needs. Automotive customers are demanding more comfort, more safety, more sustainability, and more connectivity. With its software platforms and digital features, CARIAD is developing solutions and products that will turn the car into a smart companion to accompany customers into the future with continuous updates and new digital features, even years later. The new company name reflects this zeitgeist: ‘Car, I Am Digital’. The brand profile can be found on its new website https://cariad.technology.
Currently, around 4,000 employees are working at CARIAD on the digital transformation of the car. CARIAD is working intensively on the software and technology platform for Premium Platform Electric (PPE). The first vehicles based on PPE will be the electric Porsche Macan and Audi Q6 e-tron. At the core of CARIAD is the development of the unified and scalable software and technology platform E³ 2.0 for all Group brands. E³ stands for ‘end to end electronics architecture’. The new software and technology platform is built from scratch and will be used first at the end of 2024 in Artemis, the lighthouse project of Audi. As of 2026, E³ 2.0 is due to be scaled by the Volkswagen brand with Trinity in the volume segment.
About our Group
CARIAD COE (Centre of Excellence) is setup in Bangalore, India working exclusively with CARIAD and associated VW groups with the focus on development of ‘VW.OS”. The areas of work involve development of platform components such as firmware, boot loaders, AUTOSAR, Linux/QNX BSP, Service oriented architecture-based middleware components.
Job Description:
Job Title: Data Engineer - Automotive Analytics (PySpark, Databricks, Azure, Power BI)
Role Overview
The Data Engineer will be responsible for designing, developing, and optimizing scalable data pipelines and analytics solutions within the automotive domain. The role involves working with large datasets, cloud platforms, and visualization tools to support data-driven decision-making across engineering and business teams.
Key Responsibilities
- Data Processing & Engineering - Design, build, and optimize ETL/ELT pipelines using PySpark and Databricks for large-scale automotive datasets. Implement and maintain CI/CD pipelines for automated data workflows.
- Cloud & Big Data - Work with Azure Data Lake, Azure Synapse, Azure Data Factory, and Databricks for data ingestion, transformation, and processing.
- Analytics & Insights - Perform statistical analysis, build predictive models, and identify trends in vehicle test drive behavior, environmental conditions, and key performance indicators.
- Dashboard & Reporting - Develop interactive Power BI dashboards using DAX, KPIs, and real-time analytics for engineering and business stakeholders.
- Collaboration & Documentation - Collaborate with data scientists, software engineers, and product stakeholders while maintaining clear, structured documentation of data flows and processes.
Required Skills
- Strong experience with PySpark, Databricks, and distributed data processing.
- Hands-on expertise in Azure data services (ADLS, ADF, Synapse).
- Proficiency in SQL, Python, and data modeling.
- Experience building dashboards in Power BI using DAX.
- Understanding of CI/CD processes and DevOps practices for data engineering.
Preferred Qualifications
- Automotive domain experience.
- Knowledge of machine learning workflows.
- Familiarity with Delta Lake, Unity Catalog, and data governance best practices.
Working with Embitel
- Freedom to challenge norms, make mistakes, learn and grow
- There is no ‘I’ in word ‘Team’ and no hierarchy at Embitel
- Employees of Embitel are partners of our excellence and growth. And they are at the core of organization’s Mission and Vision
To explore an exciting & progressive Career development at Embitel India:
- Visit us at: www.embitel.com
- Follow us at LinkedIn: https://www.linkedin.com/company/embitel-technologies-india