Data & AI Solutions Engineer

Role Overview

We are looking for an analytical, curious, and growth-oriented data professional to join our Digital Transformation team. As a Staff Engineer, Data Analytics, you will help drive our evolution from traditional reporting and business intelligence toward modern data products, automation, and AI-enabled solutions.

What You Will Do

Design, develop, and maintain scalable data products that enable business users to access trusted and actionable data. Analyze, transform, and integrate data from multiple sources to create high-quality datasets for analytics, automation, and AI use cases.

Why It Might Be a Fit

This role is ideal for someone who enjoys learning new technologies, embraces change, and is excited about the opportunities AI brings to transform how businesses operate.

Requirements

  • Strong SQL skills and experience working with relational databases and large-scale datasets
  • Solid understanding of data warehousing concepts, data modeling, ETL/ELT processes, and modern analytics architectures
  • Experience working with data integration, transformation, and pipeline development
  • Strong problem-solving, analytical, and critical-thinking skills
  • Excellent communication and collaboration skills with the ability to work effectively across global teams
  • Demonstrated curiosity, adaptability, and willingness to learn new technologies in a rapidly evolving AI-driven landscape
  • Bachelor’s degree in Computer Science, Information Technology, Data Engineering, Data Analytics, or a related field

Benefits

  • Opportunities for career development & growth
  • Performance based rewards
  • Hybrid working model (home office/office)
  • Up to 3 paid Personal Days annually
  • Additional vacation days
  • 100% sick leave compensation up to 2 months per year
  • A broad selection of soft / hard skills trainings and individual mentoring
  • Employer contribution to the Third Pillar Pension System
  • Life & life events insurance, fully covered by company

To apply for this job please visit jobs.lenovo.com.

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