Capgemini has announced a new hiring opportunity under its Capgemini Recruitment 2025 drive for the role of Data Engineer in Bangalore. This opening is a great chance for early professionals and skilled graduates who want to build a strong career in digital engineering, manufacturing data, and industrial digital technologies.
With the growing demand for data-driven manufacturing and digital continuity, Capgemini is looking for professionals who can work on advanced engineering systems and help global clients transform their industrial operations. Candidates seeking a stable career with long-term growth in a reputed IT and consulting company should not miss this opportunity.
Capgemini Data Engineer – Job Details
| Details | Information |
|---|---|
| Company Name | Capgemini |
| Job Role | Data Engineer |
| Qualification | Bachelor’s Degree (Engineering or related field) |
| Experience Level | Early Professional |
| Location | Bangalore |
| Salary (CTC) | ₹6 LPA – ₹10 LPA (Expected) |
Job Overview
The Data Engineer role at Capgemini focuses on digital continuity and manufacturing data management. Selected candidates will work on defining, configuring, and deploying industrial digital technologies such as PLM (Product Lifecycle Management) and MES (Manufacturing Execution Systems).
This position involves managing the flow of information across the engineering enterprise—from product design and industrialization to manufacturing and supply chain operations. The role is suitable for candidates who can work independently, understand client requirements, and contribute effectively to team-based projects.
Key Responsibilities
As a Data Engineer at Capgemini, your responsibilities will include:
- Developing and deploying industrial digital technologies to ensure seamless data flow across engineering and manufacturing systems.
- Managing manufacturing and engineering data to support design, production, and supply chain operations.
- Working on digital continuity solutions involving PLM, MES, and related platforms.
- Interpreting client requirements and translating them into effective technical solutions.
- Identifying problems in straightforward scenarios and proposing suitable solutions.
- Collaborating with cross-functional teams and interacting with customers when required.
- Completing assigned tasks independently or with minimal supervision.
- Sharing technical knowledge and supporting team members when needed.
This role plays a critical part in improving operational efficiency and data accuracy across industrial enterprises.
Skills Required
To be successful in the Capgemini Data Engineer Recruitment 2025, candidates should possess the following skills:
- Strong understanding of data engineering concepts and manufacturing data systems.
- Knowledge of industrial digital technologies, especially PLM and MES platforms.
- Basic understanding of manufacturing processes and supply chain data flows.
- Ability to analyze client needs and provide practical technical solutions.
- Good problem-solving and analytical thinking skills.
- Strong teamwork and communication abilities.
- Capability to work independently with minimal supervision.
Candidates with prior exposure to digital manufacturing or engineering systems will have an added advantage.
Why Join Capgemini
Capgemini offers a strong professional environment that supports continuous learning and career growth. Here are some key reasons to join Capgemini as a Data Engineer:
- Exposure to Global Clients: Work with leading organizations across manufacturing and industrial sectors.
- Learning Opportunities: Access structured training programs and hands-on experience with modern digital technologies.
- Career Stability: Capgemini is known for long-term career growth and internal mobility.
- Collaborative Culture: Encourages teamwork, knowledge sharing, and professional development.
- Innovation-Focused Work: Be part of projects that drive digital transformation and smart manufacturing solutions.
Capgemini values talent, diversity, and innovation, making it an excellent workplace for professionals at the early stage of their careers.
Salary Details
The Data Engineer salary at Capgemini varies based on experience, skills, and project requirements. For early professionals, the expected CTC ranges between ₹6 LPA and ₹10 LPA.
In addition to the salary, employees receive benefits such as health insurance, paid leaves, learning and certification support, and performance-based incentives. The compensation package is competitive and aligned with industry standards.
Hiring Location
This Capgemini Recruitment 2025 is specifically for the Bangalore location, which is one of Capgemini’s major delivery and innovation centers in India. Bangalore offers excellent exposure to large-scale digital engineering projects and career advancement opportunities within the organization.
How to Apply
Interested and eligible candidates can apply online through the official Capgemini careers website. Follow these steps:
- Visit the Capgemini Careers page.
- Search for the Data Engineer – Bangalore job opening.
- Review the job description and eligibility criteria carefully.
- Click on Apply for this Job.
- Fill in your personal, educational, and professional details.
- Upload your updated resume and submit the application.
Shortlisted candidates will be contacted by the Capgemini recruitment team for further selection rounds, which may include technical interviews and HR discussions.
Capgemini Apply Link :Â Â Click here
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About the Company
Capgemini is a global leader in consulting, technology services, and digital transformation. Headquartered in France, the company operates in more than 50 countries and employs over 300,000 professionals worldwide. Capgemini is well known for helping organizations unlock the value of technology and build sustainable digital solutions.
The company serves multiple industries including manufacturing, automotive, aerospace, energy, retail, and supply chain management. Capgemini’s focus on innovation, engineering excellence, and customer-centric solutions makes it one of the most preferred employers in the IT and digital engineering space.
