> Markdown version of [/jobs/ext/1431390-lead-data-and-ai-engineer](https://www.wearedevelopers.com/jobs/ext/1431390-lead-data-and-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data and AI Engineer - **Company:** Schneider Electric - **Location:** Barcelona, Spain (Remote available) - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Artificial Intelligence, Amazon Web Services, Amazon S3, Business Analytics Applications, Data Analysis, Code Review, Computer Programming, Continuous Integration, Data Governance, Data Infrastructure, Data Security, Data Systems, DevOps, Github, Identity and Access Management, Python (Programming Language), Knowledge Management, Meta-Data Management, Node.Js, Performance Tuning, Cloud Services, Data Streaming, Unstructured Data, Data Logging, Cloud Platform System, Grafana, Infrastructure as Code (IaC), Cloudformation, Amazon Relational Database Service, Data Lakes, Data Management, Functional Programming, Data Pipelines - **Published:** July 25, 2026 - **Apply:** https://www.jobleads.com/es/job/e96cfa0fb98a913aec5bee1aa5e4d0f06 ## About the Role We are looking for a hands-on Data Engineer with strong AI experience to design, develop, deploy, and support scalable, cloud-native data solutions. This role will work closely with product, architecture, DevOps, and analytics teams to deliver reliable and secure data platforms, while providing post-production support for live systems. The ideal candidate brings deep technical expertise, a proactive mindset, and a passion for building high-quality data solutions in a fast-paced Agile environment., * 5-8 years of experience working as a Data Engineer in AWS-based 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., * Proactive, self-driven mindset with strong problem-solving abilities. * Ability to work effectively with cross-functional teams including product, architecture, and DevOps. * Clear and concise oral and written communication skills. * Eagerness to learn new technologies and continuously improve technical skill., * Experience working in large, global, or enterprise environments. * Exposure to data lakes, streaming, or analytics platforms on AWS. * Experience building data pipelines to support AI copilots, intelligent assistants, knowledge management, or conversational AI solutions. * Knowledge of monitoring, logging, and observability tools in cloud environments. * AWS certifications (e.g., AWS Certified Data Engineer / Solutions Architect) are a plus. ## Description * 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 initiatives. ## Related Videos - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [5 steps for running a Kubernetes environment at scale](https://www.wearedevelopers.com/videos/88-5-steps-for-running-a-kubernetes-environment-at-scale) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [#90DaysOfDevOps - The DevOps Learning Journey](https://www.wearedevelopers.com/videos/548-90daysofdevops-the-devops-learning-journey) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)