MissionIn the Go To Market Analytics Centre of Excellence, our mission is to deliver impact by building machine learning products that optimize pricing and marketing investments and provide guidance to our sales organization. The products we are building are of high value to the company, with the ambition to influence pricing decisions and marketing investments for HP products globally and across all distribution channels, utilizing advanced analytics, machine learning, and AI.DescriptionMissionIn the Go To Market Analytics Centre of Excellence, our mission is to deliver impact by building machine learning products that optimize pricing and marketing investments and provide guidance to our sales organization. The products we are building are of high value to the company, with the ambition to influence pricing decisions and marketing investments for HP products globally and across all distribution channels, utilizing advanced analytics, machine learning, and AI.To achieve this,



we are looking for aGraduate Data Engineerto help implement best engineering practices and transform data from a raw resource into structured, scalable, high-quality, and compliant fuel powering our AI-driven products and solutions.This role is designed for recent graduates looking to launch their careers in data engineering while developing hands‑on experience in a highly innovative and collaborative environment.What Makes Us Stand OutBest-in-class technologies.Diverse learning and development opportunities.Super collaborative environment and international experience.ResponsibilitiesContribute as part of a cross-functional team to the design and development of secure, scalable, and high-performing data systems and solutions, including data ingestion, transformation, testing, and integration of structured and unstructured data.Collaborate with business stakeholders and technical teams to understand requirements and deliver data-driven solutions.Support operational excellence initiatives focuse

📌 Graduate Data Engineer (Madrid)
🏢 HP
📍 Madrid