Senior Data Engineer

Arduino’s mission is to enable people to enhance their lives through accessible open-source electronics and digital technologies. Since 2005, millions of people, from kids and students to engineers and professionals around the world, have used Arduino to innovate in various fields such as music, games, smart homes, farming, and autonomous vehicles. We’re seeking a Data Engineer / Analytics Engineer to help us scale our modern data stack. The ideal candidate will work across data ingestion, modeling, and visualization, collaborating with teams across the company to unlock data value. They should be autonomous, possess strong communication skills, and thrive in a dynamic, multidisciplinary, and international environment. What we offer A challenging career path in a rapidly growing company with a modern vision and talented teams. A competitive salary and benefits that value skills and experience. A young, inspiring work environment promoting diversity and cultural exchange. Objectives for personal growth, with a dedicated budget for learning and training. Flexible working hours and locations, supporting work-life balance. An opportunity to work in a mission-driven company dedicated to empowering people worldwide. And if you live near one of our offices… Ping pong and foosball tournaments, with additional sport or gym benefits. Seasonal celebrations, happy hours, and daily snacks and drinks at the office. Sunny rooftop lunch breaks and hammocks for relaxation and focus. What you'll work on Build and maintain Python ETL pipelines and serverless data processing systems. Integrate external data sources via REST APIs, cloud exports, and internal systems. Model and transform data to support analysis, reporting, and monitoring. Create dashboards and reports using Looker Studio. Collaborate with stakeholders across product, marketing, cloud, and leadership teams. Ensure data quality, consistency, and reliability through testing and monitoring. Document and manage code via GitHub and version-controlled workflows. Contribute to architectural decisions in GCP and AWS environments. Our Stack : Warehouse : BigQuery Orchestration : Apache Airflow Visualization : Looker Studio (Power BI is a plus) Tracking : Segment Integrations : REST APIs, internal systems Version Control : GitHub Cloud : GCP & AWS What you bring 5 years of experience in data engineering, analytics engineering, or similar roles. BS / MS in Computer Science or related fields. Programming skills in Python, Go, or Scala for data processing. Strong SQL skills and data modeling foundation. Experience with third-party API data ingestion and processing. Comfort working with cloud platforms like GCP or AWS. Proficiency with Git for collaboration and version control. Focus on simplicity, maintainability, and clarity in work. Effective communication with stakeholders, including dashboard creation. Fluent in English, both written and spoken. Team player with a positive attitude. Bonus Points Experience with Apache Airflow. Knowledge of data privacy, security, GDPR compliance. AWS Glue and Spark experience for large-scale ETL. Familiarity with Power BI or similar BI tools. Experience with customer data platforms like Segment or event tracking. Understanding of experimentation, funnel analysis, or retention metrics. Experience with CI/CD workflows in data engineering. If you're excited about this role or our company, but your experience doesn't align perfectly with the points outlined above, we strongly encourage you to apply. We may have other opportunities suited to your profile! J-18808-Ljbffr

Location: Monza, Lombardia, IT

Posted Date: 9/16/2025