About Us Idoven has developed the worlds first cardiology as a service platform powered by artificial intelligence that augments both a cardiologists and non cardiology expert clinicians 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 (Telefonica), Iker Casillas, Pau Gasol, the Accel Starters program, and EIT Health. The company has been awarded 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, youll 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. Must Have Skills 5+ years of experience in DataOps, data engineering, or a similar role, preferably in a regulated industry like healthcare or medical devices. Exceptional Python programming skills with a strong focus on automation. Proficiency with SQL and NoSQL databases and experience designing complex data pipelines. Expertise in cloud platforms (AWS, GCP, or Azure) and tools like Terraform, Kubernetes, and Docker. Advanced understanding of data security and compliance, especially GDPR or ISO standards. Proven ability to work autonomously, drive projects independently, and deliver measurable results. Strong communication and leadership skills to mentor team members and coordinate with diverse stakeholders. Fluency in English (Spanish not required). Nice to Have Skills Experience with interoperability standards such as