Data & AI Solutions Engineer

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Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 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 (https://www.lenovo.com), and read about the latest news via our StoryHub (https://news.lenovo.com/).

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.

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.
- Master's degree or relevant industry certifications.

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 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.

PAY TRANSPARENCY
The anticipated initial gross base salary range for this position is 26,100–38,170 EUR per year. This range applies to the primary job location Slovakia and is determined using objective, non-discriminatory and gender-neutral criteria, including skills and relevant experience. Final compensation will be based on relevant experience, skills, and business considerations.
Individuals may also be eligible for variable compensation (such as bonus or commission), depending on the role. The applicable variable pay model, eligibility, and target levels will be discussed during the recruitment process.
In addition to base salary and any applicable variable compensation, Lenovo provides statutory remuneration components required by local law, as well as Lenovo's comprehensive benefits package supporting employee well-being, development, and equal opportunities.
For roles open across multiple countries, local base salary ranges may vary based on market conditions, internal frameworks, and legal requirements. The relevant local range will be transparently communicated during the initial discussions.

AI PROCESSING NOTICE
We use AI-based tools to support some of our processes (e.g. online interviews recordings and transcripts) in order to achieve better efficiency, accuracy and for our documentation purposes. AI can make mistakes, but we always make sure that the outputs are manually reviewed by a human. You can always opt-out or contact us in case of any question.