Data & Analytics Engineer

Description

Summary: As a Data & Analytics Engineer, you will be a strategic interface between business and IT, identifying opportunities, shaping initiatives, and ensuring data-driven solution delivery. Highlights: 1. Strategic interface between business and IT organizations 2. Drive Data & Analytics technological roadmap and innovation 3. Promote adoption of BI data & analytics ecosystem 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. **Requirements** * 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.) * \#IamBoehringerIngelheim because… 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 If you have read this far, what are you waiting for to apply? We want to know more about you!