Overview
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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 / Incentivos
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 xqbhyrx 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