Capgemini – Data Engineer

Job Description

The Data Engineer role at Capgemini Engineering focuses on building, configuring, and deploying advanced digital technologies that ensure seamless data continuity across the engineering and manufacturing ecosystem. This position plays a critical role in managing and integrating information flow across key stages such as product design, industrialization, manufacturing, and supply chain operations. By leveraging industrial digital platforms like PLM and MES, the Data Engineer ensures that engineering and manufacturing data remains consistent, accurate, and accessible throughout the enterprise lifecycle, enabling smarter decision-making and operational efficiency.

As part of the Products and Systems Engineering community, the Data Engineer applies engineering principles and domain expertise to interpret client requirements and translate them into scalable digital solutions. The role involves working independently or with minimal supervision to identify data-related challenges, analyze straightforward problem scenarios, and implement practical solutions. Engineers in this role collaborate closely with cross-functional teams and customers, ensuring that deployed systems align with business objectives while maintaining data integrity, traceability, and continuity across complex industrial environments.

This role is especially important in supporting Capgemini Engineering’s focus on digital continuity and smart manufacturing transformation. Data Engineers are encouraged to continuously develop competencies in their specialization, share technical expertise with peers, and contribute to team success through collaboration and customer interaction. By ensuring reliable manufacturing and engineering data management, this role directly impacts productivity, quality, and innovation across industrial digital transformation initiatives.

Roles & Responsibilities

• Design, configure, and deploy industrial digital solutions to manage data continuity across engineering, manufacturing, and supply chain functions.

• Work with PLM, MES, and related digital platforms to ensure accurate, consistent, and traceable manufacturing and engineering data.

• Analyze client requirements and translate business needs into effective data and system configurations.

• Apply engineering practices and technical knowledge to support digital continuity and smart manufacturing initiatives.

• Identify data issues, inconsistencies, or gaps in straightforward scenarios and propose reliable, scalable solutions.

• Collaborate with cross-functional teams, including engineering, manufacturing, and IT stakeholders, to achieve project objectives.

• Complete assigned responsibilities independently or with minimal supervision while ensuring high-quality deliverables.

• Share technical expertise and provide guidance or support to team members to strengthen overall team capability.

• Interact with customers to understand operational challenges and contribute to solution design and implementation.

• Support continuous improvement initiatives by refining data workflows, processes, and system integrations.

Requirements & Eligibility

• Bachelor’s or Master’s degree in Engineering, Computer Science, Information Technology, or a related technical discipline.

• Strong understanding of data engineering concepts, data integration, and enterprise-level data management practices.

• Hands-on exposure to industrial digital technologies such as PLM, MES, or similar manufacturing systems.

• Knowledge of engineering and manufacturing processes, including design, industrialization, production, and supply chain workflows.

• Ability to analyze client requirements and convert them into structured technical and data-driven solutions.

• Experience working in collaborative team environments with the ability to share knowledge and mentor peers.

• Strong problem-solving skills to identify issues and implement solutions in well-defined and straightforward scenarios.

• Good communication and interpersonal skills to interact effectively with customers and internal stakeholders.

• Ability to work independently, manage responsibilities efficiently, and deliver outcomes with minimal supervision.

Expected Salary

For a Data Engineer at Capgemini Engineering in Bangalore, the expected salary typically ranges between ₹10 LPA to ₹18 LPA, depending on experience level, domain expertise, and exposure to industrial digital platforms. Professionals with strong PLM or MES experience and manufacturing domain knowledge often command higher compensation. The package generally includes standard corporate benefits, learning programs, and long-term career growth opportunities.

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