Building a career as a Data Engineer at Capgemini places you at the core of enterprise data transformation, cloud platforms, and large-scale analytics systems. This role is designed for professionals who want to work with modern data architectures, scalable pipelines, and business-critical data platforms used by global clients. It goes beyond basic analytics and focuses on how data is ingested, processed, stored, and made available for advanced reporting and decision-making.
About Capgemini and Its Data Engineering Practice
Capgemini is a global leader in consulting, technology services, and digital transformation, serving clients across banking, manufacturing, retail, healthcare, and public services. Its data engineering teams play a crucial role in enabling cloud migrations, real-time analytics, and enterprise data modernization. Capgemini works extensively with platforms such as SAP, cloud-native data services, and advanced integration tools to build future-ready data ecosystems.
Working at Capgemini offers exposure to enterprise-scale data systems, structured delivery models, and global best practices.
Role Overview – Data Engineer
The Data Engineer role focuses on designing, building, and maintaining robust data pipelines and data platforms that support analytics, reporting, and business intelligence use cases. Professionals in this role work closely with architects, analysts, and business teams to ensure data is reliable, scalable, and accessible across systems.
Key Role Details
- Role: Data Engineer
- Location: Bangalore, India
- Experience: Freshers / Experienced
- Qualification: Bachelor’s / Master’s Degree
- Employment Type: Full-time
- Domain: Data Engineering / Cloud Data Platforms
Purpose of the Role
The primary purpose of this role is to enable data-driven decision-making by ensuring that enterprise data flows smoothly from source systems to analytics platforms. Data Engineers at Capgemini are responsible for building the backbone that supports dashboards, reports, AI models, and business applications.
This role directly supports:
- Data platform reliability and performance
- Cloud and SAP-based data transformations
- Enterprise analytics and reporting accuracy
- Scalable and secure data integration
Key Responsibilities
As a Data Engineer at Capgemini, your responsibilities typically include:
- Designing and developing data pipelines for structured and semi-structured data
- Working with cloud and SAP-based platforms to ingest and process data
- Building and maintaining ETL/ELT workflows
- Ensuring data quality, consistency, and integrity across systems
- Optimizing data processing performance for large datasets
- Collaborating with data analysts and architects to support analytics needs
- Implementing data validation and error-handling mechanisms
- Documenting data flows, transformations, and technical designs
This role requires a strong understanding of how data moves across enterprise systems.
Technical Skills and Platform Knowledge
To perform effectively in this role, Capgemini typically expects:
- Strong SQL and database fundamentals
- Experience with data integration and ETL tools
- Understanding of data warehousing concepts
- Exposure to cloud data platforms (SAP BTP, Azure, AWS, or GCP)
- Knowledge of data modeling and schema design
- Basic scripting skills (Python or similar languages)
- Awareness of data security and governance principles
Hands-on project experience or relevant training significantly strengthens your profile.
Professional Skills and Work Approach
Beyond technical expertise, successful Data Engineers demonstrate:
- Analytical and logical problem-solving ability
- Attention to detail and data accuracy
- Ability to work with cross-functional teams
- Clear communication of technical concepts
- Structured documentation and process orientation
- Adaptability to new platforms and tools
This role suits candidates who enjoy building systems rather than only consuming data outputs.
Eligibility and Candidate Profile
This opportunity is suitable for:
- Fresh graduates with strong foundations in databases, SQL, and data concepts
- Experienced professionals with exposure to data engineering or integration roles
- Candidates with academic or project experience in cloud or SAP data platforms
- Individuals seeking long-term careers in data engineering or analytics infrastructure
Strong fundamentals matter more than years of experience for entry-level candidates.
Work Environment and Learning Exposure
Capgemini provides a structured and collaborative work environment with access to global projects and enterprise clients. Data Engineers work alongside experienced architects and consultants, gaining exposure to industry-standard tools and methodologies. Continuous learning is supported through internal certifications, platform training, and hands-on project experience.
The Bangalore delivery center offers opportunities to work on complex data transformation and cloud migration initiatives.
Career Growth and Long-Term Opportunities
Starting as a Data Engineer at Capgemini can lead to roles such as:
- Senior Data Engineer
- Cloud Data Engineer
- Data Architect
- Analytics Platform Lead
- SAP Data Integration Specialist
- Technical Consultant
Data engineering skills are highly transferable and in strong demand across industries.
Why This Role Offers Strong Career Value
This role stands out because it provides:
- Exposure to enterprise-scale data platforms
- Hands-on experience with cloud and SAP data ecosystems
- Strong foundation in data pipelines and integration
- Clear progression into advanced data and architecture roles
- High long-term relevance in the data-driven economy
For both freshers and experienced professionals, this position builds durable and future-ready data engineering skills.
