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Schneider Electric

Global energy management and automation provider

Lead Data and AI Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeBarcelona, SpainNo salary listed

About the Job

Requirements

  • Five to eight years of experience working as a Data Engineer in AWS-based environments.
  • Strong hands-on experience with AWS S3, Lambda, IAM, RDS, Glue, and Step Functions.
  • Proven experience 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.
  • Ability to work effectively with cross-functional teams, including product, architecture, and DevOps.
  • Clear and concise oral and written communication skills.
  • Experience working in large, global, or enterprise environments is preferred.
  • Exposure to data lakes, streaming, or analytics platforms on AWS is preferred.
  • Experience building data pipelines to support AI copilots, intelligent assistants, knowledge management, or conversational AI solutions is preferred.
  • Knowledge of monitoring, logging, and observability tools in cloud environments is preferred.
  • AWS certifications, such as AWS Certified Data Engineer or Solutions Architect, are a plus.

Responsibilities

  • Design, build, and maintain scalable data pipelines and data platforms using AWS services.
  • Develop and manage cloud-native data solutions using services such as S3, Lambda, Glue, RDS, Step Functions, and IAM.
  • Implement Infrastructure as Code 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 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.
  • Follow best practices for security, scalability, reliability, and cost optimization.
  • Work in an Agile delivery model and adapt to evolving business requirements and priorities.
  • Participate in code reviews, technical discussions, and continuous improvement initiatives.

About the Company

Schneider Electric

Global energy management and automation provider

Schneider Electric is a global specialist in energy management and automation. It helps homes, businesses, and industries run electricity more efficiently by selling electrical products, automation hardware, software, and related services. Its offerings cover electrification, automation, and digitization, and solutions connect devices, collect data, and control systems to optimize energy use in smart industries, resilient infrastructure, and data centers. The company distinguishes itself with a broad, end-to-end portfolio and a worldwide presence in over 100 countries, combining hardware, software, and services to address sustainability and reliability. Its goal is to help people and organizations use energy more efficiently, reduce environmental impact, and improve uptime and reliability.

Company size
10,001+
Company stage
IPO
Headquarters
Rueil-Malmaison, France
Founded
1836

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