Data Platform Engineer
Pubblicato il 07-09-2026 - Technogym in Italia
Our CompanyTechnogym inspires 70 million daily users to train using our innovative & engaging solutions for fitness, sport and health. By promoting the Healthness lifestyle of exercise, a balanced diet, and a positive mental approach, AI Tracking & Longevity, Technogym has rapidly grown into a success story of over 2,800 employees at 16 branches, expanding to more than 150 countries. It has been selected as Official Supplier to 10 editions of the Olympic Games - from Sydney 2000 to Milano Cortina 2026.Suppose you are a team player with strong relationship skills and an international approach, eager to invest your energy in building dreams. In that case, you have the right spirit to join Technogym because you have the IMBESTIO You will naturally fit our culture if you work out and live a healthy lifestyle, are proactive, determined, and are digitally savvy. Move with us for a better worldYour RoleWe are looking for a Data Platform Engineer with 3 to 5 years of experience in designing and implementing modern data platforms on Google Cloud Platform (GCP).
Your work will enable advanced analytics and AI-driven insights across the organization. The role focuses on building near real-time data pipelines, ensuring data quality and reliability, and enabling advanced reporting and analytics through robust data modeling.Your ImpactContribute to the continuous evolution and innovation of the data platform by implementing and experimenting with Google Cloud technologies.Design and develop data pipelines for batch and near real-time processing.Implement robust data models and architectures to support analytics and reporting.Integrate data from multiple sources ensuring consistency, quality, and security.Optimize performance, reliability, and cost-efficiency of data workflows.Collaborate with cross-functional teams, including Data Science and Business stakeholders, to understand business requirements and translate them into technical solutions.Support data governance, monitoring,