At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

We are looking for a Data Engineer to design, build, and operate production data pipelines and platforms that support large scale AI and ML workloads. The role focuses on end to end data lifecycle management, AWS based infrastructure, and collaboration with ML and data teams.

Minimum Qualifications

• Bachelor’s or master’s degree in computer science, data engineering, software engineering, or related field
• 2-3+ years of experience building production data pipelines and data platforms for AI or ML systems
• Strong proficiency in Python, C++ and distributed data processing frameworks
• Hands on experience with AWS services including S3, EC2, SageMaker, and Glue
• Experience designing data systems that support large scale ML training and experimentation
• Knowledge of data governance, access control, and lifecycle management
• Experience working with ML, data science, operations, and cloud engineering teams.

Preferred Qualifications

• Experience building pipelines across edge devices and cloud systems
• Background working with large scale sensor, image, or IoT data
• Familiarity with data labeling tools and annotation workflows
• Experience with dataset versioning, lineage, and reproducibility systems
• Understanding of privacy, compliance, or regulated data environments
• Experience supporting global multi region data platforms.

Key Responsibilities

End to End Data Pipeline Ownership

• Design, build, and maintain research and production data pipelines spanning edge devices, cloud services, and centralized platforms
• Own the full data lifecycle including collection, ingestion, processing, obfuscation, versioning, access, retention, and retirement

Edge to Cloud Data Flow

• Develop resilient ingestion pipelines that handle device variability and connectivity challenges
• Support secure data transfer from field environments to cloud storage
• Collaborate with operations teams to improve data coverage, observability, and reliability

Data Quality, Governance, and Compliance

• Implement privacy preserving transformations and obfuscation pipelines
• Build automated data cleaning and validation processes
• Establish data lineage, retention policies, and access controls to ensure compliance and traceability

Data Services for AI and ML

• Provide scalable data services for training, evaluation, and research experimentation
• Support continuous data refresh and retraining workflows
• Integrate with labeling and annotation systems
• Enable efficient access patterns for large scale ML workloads

AWS Based Cloud Infrastructure

• Build and optimize pipelines using AWS services such as S3, EC2, SageMaker, Lambda, Glue, and Step Functions
• Design for cost efficiency, performance, and reliability at scale

Collaboration and Feedback Loops

• Work with AI and ML engineers, scientists, and data teams to gather data requirements
• Translate feedback into automated improvements in data collection and labeling
• Support teams with exploratory analysis and data issue debugging

Scaling the Data Factory

• Design and maintain data schemas, dataset versioning, and data factory updates
• Architect global scale data systems across large device fleets
• Ensure the platform is flexible for research and reliable for production.

What Will You Love About Working Here:

• Collaborative and Inclusive Culture: You’ll work alongside passionate engineers striving to provide the best service to our clients and communities with shared interests and identities, in a dynamic environment involving teams spread across different global locations.
• Flexibility and Growth: Enjoy flexible working hours and access to a wide range of professional development opportunities, including training programs, learning platforms and certifications. Whether you're diving into Generative AI, data science, or sustainability, our digital campus supports your learning journey every step of the way;
• Comprehensive Benefits: Benefit from an attractive package including medical services, eye glasses coverage, Benefit online, meal tickets, Employee Assistance Program (covering financial, legal, and emotional matters), and the Employee Share Option Plan.

Capgemini Romania is an equal opportunity employer. We promote equality and dignity in all aspects of recruitment and employment, and all offers of employment and promotions are made on the basis of performance, competence and ability.

About CAPGEMINI:

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

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