Senior Data & AI Engineer — Cloud Data Platforms

Schneider Electric; Barcelona; Presencial; EUR 65.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work plan

Flexible schedule

Wellbeing program

Stock ownership program

Descripción de la vacante

Schneider Electric seeks a hands-on Data Engineer with strong AI experience to design, develop, deploy, and support scalable, cloud-native data solutions. You will work across product, architecture, DevOps, and analytics teams to deliver reliable data platforms and live system support.

The role requires 5–8 years in AWS data engineering, deep AWS services experience, and proficiency in Python or Node.js, with a focus on security, scalability, and reliable production operations.

Formación

• 5–8 years of experience as a Data Engineer in AWS environments.
• Strong hands-on experience with core AWS services, including S3, Lambda, IAM, RDS, Glue, Step Functions.
• Proven experience in defining and managing CI/CD workflows using GitHub Actions.
• Solid experience with Infrastructure as Code, preferably AWS CloudFormation.
• Strong programming skills in Python or Node.js.
• Experience supporting production systems and handling operational issues in live environments.
• Familiarity with Agile/Scrum delivery practices.
• Strong understanding of data modeling, data governance, data quality, metadata management, and master data concepts.
• Experience working with structured and unstructured data to support AI and analytics use cases.
• Familiarity with data lake architectures, Lakehouse concepts, and modern data platforms.
• Exposure to AI security, responsible AI, and data privacy principles.

Responsabilidades

• Design, build, and maintain scalable data pipelines and data platforms using AWS services.
• Develop and manage cloud-native data solutions leveraging services such as S3, Lambda, Glue, RDS, Step Functions, and IAM.
• Implement Infrastructure as Code (IaC) using AWS CloudFormation to ensure repeatable and reliable deployments.
• Build and maintain CI/CD pipelines using GitHub Actions integrated with CloudFormation.
• Write production-grade, maintainable code using Python or Node.js.
• Support post-deployment and production (PROD) operations, including troubleshooting, incident resolution, and performance tuning.
• Collaborate with solution architects and engineers to contribute to solution design and continuously improve existing architectures.
• Collaborate with Data Scientists, AI Engineers, and business stakeholders to enable scalable and secure AI/ML workloads.
• Ensure best practices for security, scalability, reliability, and cost optimization are followed.
• Work in an Agile delivery model, adapting to evolving business requirements and priorities.
• Participate in code reviews, technical discussions, and continuous improvement.

Conocimientos

AWS

Python

Node.js

GitHub Actions

CI/CD

CloudFormation

Agile/Scrum

Data modeling

Data governance

Data lakes

AI/ML workloads

Herramientas

S3

Lambda

IAM

RDS

Glue

Step Functions

Descripción del empleo

Schneider Electric seeks a hands-on Data Engineer with strong AI experience to design, develop, deploy, and support scalable, cloud-native data solutions. You will work across product, architecture, DevOps, and analytics teams to deliver reliable data platforms and live system support.

The role requires 5–8 years in AWS data engineering, deep AWS services experience, and proficiency in Python or Node.js, with a focus on security, scalability, and reliable production operations.