Data & Analytics Engineer

As a Data & Analytics Engineer, you will act as a strategic interface between the HP Commercial business and our IT organizations. This role identifies opportunities, shapes initiatives, translates business needs into technical direction, and ensures successful delivery of data-driven solutions. The ideal candidate blends business acumen, communication skills, and strong technical understanding of data platforms, analytics and AI capabilities. Tasks and responsibilities

• Be the main point of contact for the current HP EUCAN business application.
• Business partnering - serve as the primary IT contact for data and analytics needs within HP Commercial.
• Perform project management processes related to planning, financials, product enhancements, change management and reporting.
• Partner with IT vendors in delivering product enhancements, managing SLAs, ensuring smooth operations and reliable analytics platform.
• Support business counterparts with IT-related operational topics and ensure clarity and alignment of expectations.
• Ensure cross-functional alignment and collaboration between internal IT teams.
• Drive the Data & Analytics technological roadmap and align business priorities with platforms capabilities.
• Identify technology gaps, future platform needs and opportunities for innovation.
• Collaborate with IT architects to define high-level solution designs and ensure compliance with Enterprise Data & Platforms standards.
• Promote the adoption of BI data & analytics ecosystem and data-driven decision-making platforms.

• Bachelor's or master's degree in computer science, engineering or mathematics or related field.
• Proven experience in data-related roles preferably supporting and operating business applications related to CRM, Marketing & Sales, Finance systems, or custom apps.
• Good understanding of modern data platforms using tools such as Snowflake, dbt, SnapLogic (or equivalent iPaaS) and cloud services (preferably AWS)
• Knowledge in APIs, data integration patterns, and event-driven architectures.
• Familiarity with data governance and metadata management, ideally with Collibra; understanding of lineage, stewardship, and data catalog practices.
• Understanding of software engineering fundamentals: Python/SQL, Git, coding standards, automated testing, and production support practices.
• Proven experience of ITIL or similar service management operational frameworks.
• Demonstrated ability to work independently, manage priorities, and proactively drive work forward in a dynamic environment.
• Strong stakeholder management, analytical thinking, and structured problem-solving skills.
• Nice to have: Working experience in regulated environments (GxP, GDPR, etc.)

We are continuously working to design the best experience for you. Here are some examples of how we will take care of you:

• Flexible working conditions
• Life and accident insurance
• Health insurance at a competitive price
• Investment in your learning and development
• Gym membership discounts