Senior DataOps Engineer

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.

• 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 FHIR or HL7.
• Familiarity with monitoring tools and data visualization platforms (e.g., Grafana, Power BI).
• Exposure to machine learning workflows or AI model integration.
• Background in medical device software or other high-compliance industries.

🚀 Be part of one of the most disruptive startups in HealthTech and AI and make a difference

🏆 Personal and professional growth as part of a fast-growing, international team

🎧No corners cut in having the best tech equipment to do your job

🙋 Unlimited remote working environment, where you can choose to work from home and attend our Madrid office whenever you want to

📚Learning and development opportunities and training budget

💸 Flexible Remuneration

👩🏻‍⚕️ Health Insurance

🏋 Access to Wellhub (Gympass), empowering your physical and mental wellness!

🌴 23 holidays, your birthday off, and December 24th and 31st half days to celebrate!

😎 Regular team events and Thursday happy hours

And much more!