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Lenovo
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Data Engineer

Sao Paulo, São Paulo, BrazilOn-sitefull-time
PythonETLAWSMicrosoft Azure
Role Snapshot

Proven experience in data science/ML or AI engineering, deploying ML models to production, hands-on Generative AI, Python, ETL and data engineering, cloud (AWS/Microsoft Azure), observability and analytics.

Why Work at Lenovo

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$83 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.

Description and Requirements

Role Overview

This role focuses on driving data-driven transformation across IT operationsby leveraging advanced analytics, machine learning, and Generative AI.

You will play a key role in improving service quality, enhancing the digital employee experience (DEX), and enabling smarter decision-making through data and AI-driven insights.

Key Responsibilities

  • Apply data analytics, predictive modeling, and observability to support continuous improvement across IT operations
  • Transform operational data into actionable insights and recommendations to drive decision-making
  • Enhance Digital Employee Experience (DEX) through proactive, AI-driven issue identification and service improvements
  • Develop and implement Generative AI solutions (e.g., conversational AI, knowledge automation) to optimize user journeys
  • Design, build, and maintain machine learning models to identify patterns, trends, and root causes in IT data
  • Build and manage data pipelines and data models to support analytics, reporting, and AI initiatives

Key Skills & Competencies

  • Strong written and verbal communication skills
  • Proficiency in Python and experience with data science and AI/ML frameworks
  • Knowledge of data engineering concepts (ETL, data pipelines, data lakes, cloud ecosystems such as AWS or Azure)
  • Experience with observability and analytics tools for monitoring and optimization
  • Ability to translate business problems into analytical models and AI-driven solutions
  • Strong problem-solving skills with the ability to apply advanced technical concepts across domains

Qualifications & Experience

  • Experience:
    Proven experience in Data Science, Machine Learning, or AI Engineering roles
    Experience deploying AI/ML models in production environments, ideally within IT operations or service management
    Hands-on experience with Generative AI and conversational platforms

  • Education:
    Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field

  • Preferred Certifications & Knowledge:
    Certifications in AI/ML, Data Science, or Cloud platforms
    Strong foundation in statistics, data modeling, and AI concepts
    Continuous learning mindset, particularly in emerging areas such as Generative AI and advanced analytics


Posted 14 July 2026Apply now