Data Operations & Intelligence Engineer

Why Work at Lenovo

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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, and read about the latest news via our StoryHub.

Description and Requirements

Join Lenovo's Solutions & Services Group (SSG) as a Data Engineering & Analytics Specialist and help shape the future of APOS HQ's business data ecosystem. Reporting directly to the APOS HQ Sr. Data Manager, you will play a key role in discovering, structuring, and improving business-critical data that drives strategic decision-making across the organization. This is a highly visible opportunity where you'll gain meaningful ownership from day one, tackle complex and evolving business challenges, collaborate with cross-functional stakeholders, and contribute to high-impact initiatives. You'll also have access to modern AI-powered tools that accelerate coding, research, and data exploration, while building a strong foundation for future growth in data engineering, analytics, data architecture, or data science. This role is ideal for someone who is naturally curious, technically strong, analytical, and energized by solving ambiguous problems and transforming complex data into actionable business value.

What You Will Do: 

• Explore, analyze, and validate data from Hadoop-based and other upstream data environments to uncover insights and support business decision-making.
• Design, develop, and continuously improve ETL processes that power the APOS curated business data model and ensure scalable data delivery.
• Investigate complex data issues, source system logic, anomalies, gaps, and inconsistencies, driving root-cause analysis and resolution across teams.
• Transform and integrate data from multiple sources, including incomplete or inconsistent datasets, into reliable and business-ready solutions.
• Optimize SQL queries, ETL logic, and data transformations to improve performance, scalability, and efficiency across large data volumes.
• Define, monitor, and enhance data quality, coverage, reliability, and governance measures to ensure trusted business data assets.
• Support strategic data initiatives, including entity linkage, account-contact relationships, business rule refinement, success measurement frameworks, and feedback loop design.
• Partner closely with IT teams, data owners, and business stakeholders to document data logic, identify risks, prioritize backlog improvements, and drive the evolution of a business-focused data ecosystem.

What You Will Bring:

• Strong SQL skills with the ability to extract, transform, analyze, and optimize data across complex datasets and business environments.
• Experience in data engineering, analytics engineering, data operations, business intelligence, or a similar data-focused role.
• Comfortable working independently in exploratory environments where requirements may evolve and solutions need to be built from the ground up.
• Strong communication and stakeholder management skills, with the ability to collaborate directly with data owners, technical teams, and business partners.
• Hands-on experience with Hadoop-based data ecosystems and distributed query technologies such as Spark SQL, Trino, Hive SQL, or similar platforms is highly preferred.
• Experience designing, building, supporting, and optimizing ETL pipelines, including query performance tuning and large-scale data processing.
• Knowledge of data quality frameworks, validation methodologies, and best practices for ensuring reliable and trusted data assets.
• Additional experience with Python, Metabase, statistical analysis, Power BI, Qlik, Tableau, or Lenovo internal platforms (Flex, LUDP, Magellan) would be considered a strong advantage.

What We Offer:

• Opportunities for career development & growth 
• Performance based rewards  
• Hybrid working model (homeoffice/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 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 €29900–43780 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.