As a Data Platform Engineer at Technogym, you design and implement modern data platforms on Google Cloud to enable advanced analytics and AI-driven insights across the organization. You will build near real-time data pipelines and robust data models that support reporting and decision-making. You collaborate with data scientists and business partners to translate needs into scalable, secure data solutions. Your work helps improve data quality, reliability, and cost efficiency at scale. This role offers the chance to shape a data foundation used across a global, health-focused tech ecosystem.Design and develop data pipelines for batch and near real-time processingImplement robust data models and architectures to support analytics and reportingIntegrate data from multiple sources ensuring consistency, quality, and securityOptimize performance, reliability,



and cost-efficiency of data workflowsCollaborate with cross-functional teams including Data Science and Business stakeholdersSupport data governance, monitoring, and observability practicesBachelor in Computer Science3–5 years of experience in data engineering and data platform developmentStrong knowledge of GCP components: BigQuery, Dataflow, Pub/Sub, Datastream, Airflow, Cloud Functions, API Gateway, DataformProficiency in SQL and Python xysqume Experience in data modeling and architectures for reporting and analyticsUnderstanding of ETL/ELT processes; SAP Data Services is a plusGoogle Cloud certifications are a plusStrong problem-solving, proactivity, and teamworkGoal-oriented mindset and attention to qualityStrong problem-solving skillsProactivityTeam playerBigQueryDataflowPub/Sub#J-18808-Ljbffr

📌 Data Platform Engineer (Cesena)
🏢 Technogym
📍 Cesena