About Us

Idoven has developed the world’s first cardiology-as-a-service platform powered by artificial intelligence that augments both a cardiologist’s and non-cardiology expert clinician’s ability to identify, triage and diagnose patients at scale.

The company counts partners such as AstraZeneca, Abbott, and GE Healthcare, FIFPRO, Google, Santander and Real Madrid Foundation. Idoven is backed by top-tier investors and business angels including Insight Partners, Northzone and Wayra (Telefónica), Iker Casillas, Pau Gasol, the Accel Starters program, and EIT Health.

The company has been awarded with numerous distinctions for its AI technology in Europe and the US, including the prestigious European Innovation Council (EIC) Accelerator and Horizon 2020 (H2020) awards and the Healthy Longevity Catalyst Award from the US National Academy of Medicine. Idoven has also been selected by CB Insights as one of the top 50 companies in Digital Health for 2023.

Your Role

As a Senior DataOps Engineer, you’ll play a pivotal role in developing scalable solutions that power our groundbreaking AI technologies.

Responsibilities

• Lead the Design and Implementation: Architect and maintain high-performance, secure, and scalable data pipelines to support AI-driven clinical workflows.
• Drive Integration: Collaborate with the DataOps Manager and cross-functional teams to autonomously manage the ingestion, transformation, and integration of large datasets from external partners.
• Enhance Data Quality and Compliance: Build systems to ensure data quality, integrity, and regulatory compliance (e.g., ISO 13485, GDPR).
• Build and Automate: Develop reusable code and frameworks in Python to streamline data processes and ensure operational excellence.
• Monitor and Troubleshoot: Proactively monitor data pipelines, resolve issues autonomously, and implement safeguards to minimize disruptions.
• Innovate: Identify and implement best practices and emerging technologies to enhance data infrastructure and team efficiency.
• Collaborate Globally: Serve as a technical expert, working closely with Product, Engineering, and AI teams to ensure alignment on project goals and deliverables.