IT TraineeAbout the RoleJob ID 305170 Location Mexico Queretaro Santiago de Queretaro Company Siemens Energy, S. de de Organization EVP General Functions Business Unit Digital Core Full / Part time Full-time Experience Level Student / Intern / Apprentice A Snapshot of Your DayAs a trainee, you will work in a multidisciplinary environment connecting industrial operations with modern software, cloud, data, and AI technologies. Your day may include supporting application development, connecting equipment and data sources to IIoT or edge platforms, validating manufacturing data, testing prototypes, documenting solutions, and collaborating with manufacturing, automation, OT, IT, development, architecture, and data specialists. You will learn through hands-on assignments while contributing to secure, reliable, and scalable digital solutions.How You’ll Make an ImpactSupport the delivery, maintenance, and enhancement of applications and services built on .NET and other Microsoft technologies.Participate in requirements gathering, development, testing, deployment, documentation, and hypercare activities.Connect industrial equipment, sensors, control systems, and data sources to IIoT and edge platforms.Collect, contextualize, validate, and visualize machine and production data for analytics and Industrial AI use cases.Create and maintain technical documentation, knowledge articles, deployment guides, and knowledge-transfer materials.Collaborate with developers, architects, business stakeholders, support teams, and manufacturing, automation, OT, IT, and data specialists.Contribute to troubleshooting, incident resolution, and operational support for production and non-production environments.Learn and apply DevOps practices, including source control, CI/CD, testing, release management, monitoring,



and observability.Support prototypes, proofs of concept, pilots, testing, and troubleshooting in a fast-paced and evolving environment.Follow organizational security, compliance, governance, safety, and cybersecurity standards.What You BringBachelor’s degree completed, recently completed, or in progress in Computer Science, Software Engineering, Information Technology, Data Science, Computer Engineering, Mechatronics, Electrical/Electronics Engineering, Automation and Control, Artificial Intelligence, Telecommunications, or Industrial Engineering with an automation, analytics, or digital manufacturing focus.Academic, internship, extracurricular, personal-project, or professional exposure to software development, cloud services, data engineering, AI-enabled solutions, infrastructure, IT support, automation, Industrial IoT, machine learning, robotics, industrial networking, sensor data, or manufacturing analytics is desirable.Basic understanding of one or more of the following: C#, .NET, JavaScript/TypeScript, Python, SQL, HTML/CSS, REST APIs, Git, or Microsoft Azure fundamentals.Basic knowledge of manufacturing processes, sensors, PLC/SCADA concepts, Industrial Ethernet, TCP/IP, OPC UA, MQTT, or Modbus is desirable.Exposure to Microsoft Fabric, Azure Data Factory, Databricks, Power BI, Azure AI Services, Azure OpenAI, Power Platform, Dataverse, Microsoft Entra ID, Linux, Docker, Grafana, AWS IoT, SiteWise, Ignition, HighByte, or Kepware is an advantage.Advanced English or English proficiency sufficient to collaborate effectively in a multicultural work environment.Analytical thinking, structured problem solving, curiosity, communication, teamwork, adaptability, proactive learning, ownership, and attention to detail, data quality, documentation, safety, and cybersecurity.

📌 IT Trainee (México)
🏢 Siemens Energy
📍 México