PArduino’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, are using Arduino to innovate in the fields of music, games and toys, smart homes, farming, autonomous vehicles and many more. /ppWe’re looking for a Data Engineer / Analytics Engineer to help us scale our modern data stack — someone who can work across ingestion, modeling, and visualization, and partner with teams across the company to unlock value from data. The ideal candidate is autonomous, has strong communication skills and the ability to work effectively in a dynamic, multidisciplinary and international environment. /ppWhat we offer /pulliA challenging career path in a rapidly growing company with a modern vision and talented teams. /liliA competitive salary (and benefits) that values people skills and experience. /liliA young and inspiring work environment that encourages diversity and cultural exchange. /liliIndividual growth objectives with a dedicated budget for learning/training. /liliFlexible working hours and working locations, we value work-life balance! /liliA work opportunity in a mission-driven company committed to empowering people around the world. /li /ulpAnd if you live near one of our offices... /pulliPing pong and foosball tournaments (sport or gym benefit is also included for everyone!). /liliSeasonal celebrations, happy hours, and everyday drinks and snacks at the office. /liliSunny rooftop lunch breaks and hammocks for relaxation and concentration. /li /ulpWhat you'll work on /pulliBuild and maintain Python ETL pipelines and serverless data processing. /liliIntegrate external data sources via REST APIs, cloud exports, and internal systems. /liliModel and transform data to support analysis, reporting, and monitoring. /liliCreate dashboards and reports using Looker Studio. /liliCollaborate with stakeholders across product, marketing, cloud, and leadership. /liliEnsure data quality, consistency, and reliability through testing and monitoring. /liliDocument and manage code through GitHub and version-controlled workflows. /liliContribute to architectural decisions across GCP and AWS environments. /liliOur Stack: /li /ulp Warehouse: BigQuery /pp Orchestration: Apache Airflow /pp Visualization: Looker Studio (Power BI is a plus) /pp Tracking: Segment /pp Integrations: REST APIs, internal systems /pp Version Control: GitHub /pp Cloud: GCP AWS /ppWhat you bring /pulli5+ years of experience in data engineering, analytics engineering, or a similar role. /liliBS/MS in Computer Science or other technical related fields /liliProgramming skills in Python, Go, or Scala for data processing. /liliFluency in SQL and a strong foundation in data modeling. /liliExperience ingesting and processing data from third-party APIs. /liliWork comfortably with cloud infrastructure (especially GCP or AWS). /liliUse Git for code collaboration and version control. /liliValue simplicity, maintainability, and clarity in your work. /liliCommunicate effectively with stakeholders using well-structured dashboards. /liliFluent in English, written and spoken /liliGreat teamwork and positive attitude /li /ulpBonus Points /pulliExperience with Apache Airflow. /liliKnowledge of data privacy, security, or GDPR-compliant data practices. /liliAWS Glue and Spark experience for large-scale ETL /liliFamiliarity with Power BI or other enterprise BI platforms. /liliExposure to customer data platforms like Segment or event-based tracking. /liliUnderstanding of experimentation, funnel analysis, or retention metrics. /liliUse of CI/CD workflows in data engineering or analytics contexts. /li /ulpIf you're excited about this role or about our company, but your experience doesn't align perfectly with the points outlined above, we strongly encourage you to apply anyway. If we feel you don’t fit for this job, we may have something else for you! /p