At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the worlds 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.

YOUR ROLE

As a Data Engineer, you will play a key role in designing, building, and operating robust, scalable, and secure data platforms in AWS cloud environments. You will work closely with Analytics, Data Science, and Product teams, ensuring highquality data is readily available for reporting, experimentation, and advanced analytics use cases.

You will take ownership of the endtoend data lifecycle, from ingestion and transformation to delivery and optimization, applying engineering best practices to ensure reliability, performance, and scalability.

Key Responsibilities

• Design, develop, and optimize ETL/ELT data pipelines using Python, SQL, and Spark
• Build and maintain cloudnative data solutions leveraging AWS services such as Glue, Redshift, Athena, EMR, S3, and Lambda
• Orchestrate and monitor data workflows using AWS Step Functions, Airflow, Prefect, or Dagster
• Ensure data platforms meet high standards of reliability, performance, scalability, and observability
• Implement and maintain CI/CD pipelines and InfrastructureasCode (IaC) practices
• Collaborate with crossfunctional stakeholders to translate business requirements into scalable technical solutions
• Apply and enforce data security best practices, including IAM policies, access control, and encryption
• Continuously improve data architecture, tooling, and processes following industry best practices

YOUR PROFILE

• You are a handson, technically strong Data Engineer with proven experience working in AWS cloudbased data platforms. You are comfortable operating at scale, enjoy solving complex data problems, and take ownership of the systems you build.
• You are proactive, detailoriented, and motivated to deliver highquality data solutions that create real business impact.
• Solid experience as a Data Engineer working in AWS environments
• Strong proficiency in Python, SQL, and Spark for data processing and transformations
• Handson experience with AWS Glue, Redshift, Athena, EMR, S3, and Lambda
• Experience with data orchestration tools such as Step Functions, Airflow, Prefect, or Dagster
• Knowledge of containerization and orchestration technologies (Docker, Kubernetes, ECS)
• Familiarity with CI/CD pipelines and modern DevOps practices
• Strong understanding of data security, IAM, and encryption best practices
• A problemsolving mindset, strong ownership mentality, and excellent attention to detail
• Nice to have:
  • GenAI expertise
  • AWS certifications such as AWS Certified Data Analytics Specialty or AWS Certified Solutions Architect.
  • Experience with Machine Learning and AI/ML data pipelines in AWS.
  • Knowledge of serverless data engineering with Lambda and API Gateway.
  • Hands-on experience with NoSQL databases (DynamoDB, MongoDB, OpenSearch).

WHAT YOU'LL LOVE ABOUT WORKING HERE

• Join a multicultural and inclusive team environment.
• Enjoy a supportive atmosphere promoting work-life balance.
• Engage in exciting national and international projects.
• Hybrid work.
• Your career growth is central to our mission. Our array of career growth programs and diverse professionals are crafted to support you in exploring a world of opportunities.
• Training and certifications programs.
• Health and life insurance.
• Referral program with bonuses for talent recommendations.
• Great office locations.

ABOUT CAPGEMINI

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology, and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.

Apply now!