Data & AI Solutions Engineer

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Req #

WD00105960

Career area:

Data Management and Analytics

Country/Region:

Slovakia

State:

Bratislavský kraj

City:

Bratislava

Date:

Tuesday, October 20, 2026

Working time:

Full-time

Additional Locations
:

* Slovakia

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

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 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 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.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.

Additional Locations
:

* Slovakia

* Slovakia

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