Overview In this hands-on Data Engineer role within Schneider Digital, you design, build, and operate scalable, cloud-native data platforms on AWS to support AI/ML workloads and business analytics. You collaborate with product, architecture, DevOps, and data teams to deliver secure, reliable data solutions while supporting live systems. You'll work in an Agile environment, driving best practices in security, scalability, and cost optimization to enable data-driven decisions across the organization.

Compensaciones / Ventajas hybrid work plan flexible schedule

Floating Holidays

Holy Pack (additional vacation days)

Sabbatical Pack (up to 2 months unpaid leave)

Wellbeing platforms (Wellwo/Wellhub)

Responsabilidades Design, build, and maintain scalable data pipelines and data platforms on AWS

Develop cloud-native data solutions using S3, Lambda, Glue, RDS, Step Functions, and IAM

Implement Infrastructure as Code with AWS CloudFormation for repeatable deployments

Build and maintain CI/CD pipelines with GitHub Actions and CloudFormation

Write production-grade code in Python or Node.js

Support post-deployment/production operations including troubleshooting and performance tuning

Collaborate with solution architects and engineers to improve architectures

Collaborate with Data Scientists, AI Engineers,



and stakeholders to enable scalable AI/ML workloads

Ensure security, scalability, reliability, and cost optimization

Work in an Agile delivery model and participate in code reviews and continuous improvement initiatives

Requisitos principales 5–8 years as a Data Engineer in AWS-based environments

Strong hands-on AWS experience (S3, Lambda, IAM, RDS, Glue, Step Functions)

Proven CI/CD experience using GitHub Actions

Solid Infrastructure as Code experience, preferably CloudFormation

Strong Python or Node.js programming skills

Production support experience in live environments

Familiarity with Agile/Scrum

Understanding of data modeling, governance, quality, metadata, and master data concepts

Experience with structured and unstructured data for AI/analytics

Familiarity with data lake architectures, Lakehouse concepts, and modern data platforms

Exposure to AI security, responsible AI, and data privacy principles

Proactive, self-driven mindset

Strong problem-solving abilities

Effective cross-functional collaboration

AWS core services: S3, Lambda, IAM, RDS, Glue, Step Functions

GitHub Actions for CI/CD

Infrastructure as Code with CloudFormation

📌 Lead, Data and AI Engineer (Barcelona)
🏢 Schneider Electric
📍 Barcelona