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.

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 high‑quality data is readily available for reporting, experimentation, and advanced analytics use cases.

You will take ownership of the end‑to‑end 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 cloud‑native 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 Infrastructure‑as‑Code (IaC) practices
• Collaborate with cross‑functional 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 hands‑on, technically strong Data Engineer with proven experience working in AWS cloud‑based data platforms. You are comfortable operating at scale, enjoy solving complex data problems, and take ownership of the systems you build.
• You are proactive, detail‑oriented, and motivated to deliver high‑quality 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
• Hands‑on 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)