Description and Requirements

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.

You will work closely with business stakeholders, IT teams, and data platform engineers to build trusted datasets, scalable data pipelines, and data products that support strategic decision making across the organization. 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.

Position is opened as Maternity backfill.

Responsibilities:

- 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.
- Develop and optimize data pipelines, data models, and data processing frameworks.
- Collaborate with business teams, IT organizations, and Digital Transformation teams to identify opportunities for process improvement and innovation.
- Improve data quality, governance, reliability, and operational efficiency across the analytics ecosystem.
- Support the adoption of modern data platforms, automation capabilities, and AI-driven solutions.
- Explore emerging technologies and continuously identify opportunities to improve how data is managed, consumed,



and leveraged across the organization.
- Contribute to a culture of learning, innovation, knowledge sharing, and continuous improvement.

Qualifications:

- 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 general 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 or relevant industry certifications.

Preferred Qualifications:

- Experience with Python for data engineering, automation, or advanced analytics.
- Experience with cloud-based data platforms and modern data architectures.
- Experience with data orchestration frameworks such as Airflow or similar technologies.
- Understanding of Data Product principles,



Data Mesh concepts, or self-service analytics strategies.
- Experience leveraging AI, Copilot technologies, automation platforms, or machine learning solutions to improve business processes.
- Knowledge of Kimball and/or Inmon methodologies.
What We Offer:

- 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

We look forward to hearing from you.

#LI-Hybrid We believe in treating each other with respect and dignity. We judge all applicants and employees by their qualifications, demonstrated skills and achievements without regard to race, color, religion, gender, gender identity or expression, national origin, ethnicity, sexual orientation, sex, age, disability, veteran status, marital status or any other characteristic protected by local law. When necessary, Lenovo will provide reasonable accommodations for employees with disabilities or those with special religious requirements. All employees help to create a positive work environment by adhering to these standards. Additional Locations: * Argentina - Capital Federal - CABA * Argentina * Argentina - Capital Federal * Argentina - Capital Federal - CABA

📌 Data & AI Solutions Engineer (Buenos Aires)
🏢 Lenovo
📍 Buenos Aires