ONVY HealthTech Group GmbH is a Munich-based Digital Health company pioneering a new era of proactive and personalized health management. Their AI-powered platform integrates data from over 320 wearables and health services, providing users with actionable insights to optimize their physical and mental well-being. ONVY empowers individuals to balance their lifestyle choices, enhancing recovery, performance, sleep, nutrition, and longevity. They prioritize state-of-the-art data privacy and GDPR compliance, putting users in control of their health journey.

Fully remote position with optional office access available in Munich. Join a small, agile backend team dedicated to innovation and collaboration.

Passionate about building products users love, taking responsibility for outcomes, and maintaining disciplined work ethics in a mainly remote environment.

Work in agile teams collaborating with developers, product managers, and designers. Integrate Health APIs like Strava, Garmin, OURA to fetch, process, and harmonize health data. Implement a scalable data architecture from scratch (greenfield project) to handle big data loads. Note: This role focuses on fetching, cleaning, harmonizing, and storing health-related data in a scalable way rather than preparing machine learning model development.

Minimum 5 years experience as Backend Developer developing Big Data cloud services on AWS cloud. Experience designing and optimizing secure data pipelines and efficient scalable storage. Experience in data quality monitoring. Strong Python (pandas, boto3) and Data Engineering skills. Solid experience with AWS cloud services (IAM, ECS, Lambda, S3, CloudWatch, CloudFormation etc.). Experience with GitHub and GitHub Actions.

Experience with health APIs like Garmin, OURA, Strava, Withings. Previous participation in healthcare, wearable projects.

ONVY aims to disrupt personal health management through predictive analytics and new health technology, creating meaningful impact and shaping the future of proactive, data-driven well-being.