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Senior Data Engineer | Data Ops

Role overview

Qualifications

  • 3+ years of experience in DataOps, data engineering, or a similar role, preferably in a regulated industry.
  • 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.
  • Strong communication and leadership skills to mentor team members and coordinate with diverse stakeholders.

Responsibilities

  • Lead the Design and Implementation: Architect and maintain high-performance, secure, and scalable data pipelines to support AI-driven workflows.
  • Drive Integration: Collaborate with 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).
  • Monitor and Troubleshoot: Monitor data pipelines, resolve issues autonomously, and implement safeguards to minimize disruptions.

Key facts

Other skills

  • Communication
  • Leadership

About the company

Idoven logo

Idoven

Digital Health & Health Tech

Idoven is a health technology company advancing early detection and precision medicine for cardiovascular diseases. The Idoven AI-powered platform, certified as EU MDR Medical Device Class IIa, delivers substantial improvements to the speed, consistency and accuracy of electrocardiogram (ECG) interpretation. Its powerful, proprietary AI algorithms, which work with existing ECG devices, are also being applied to develop disease biomarkers towards patient identification, risk stratification and prognosis, as well as drug cardiac safety monitoring. Idoven partners with leading medical device and pharmaceutical companies on AI-driven innovations to develop a new standard of cardiovascular care. Through exclusive partnerships and research collaborations, Idoven has developed one of the world’s largest ECG databases and a deep learning system applied to cardiology. The Idoven software is designed to be integrated seamlessly into existing clinical and research workflows, to support clinician decision making and disease management. Idoven 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. The company is backed by top tier investors including Insight Partners, Northzone and Wayra (Telefónica), the Accel Starters programme, leading business angels and EIT Health. Idoven is based in Madrid and was founded in 2018, following almost a decade of ground-breaking research. We are building the future of cardiovascular care, and we need the best minds from around the world to help us. Interested in joining our team? Head to our careers page and apply at www.idoven.ai/jobs

Company details

Company typeScaleup
IndustryDigital Health & Health Tech
Company size11 - 50

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Job description

Idoven is a healthtech company applying AI to improve cardiovascular care, with a focus on ECG analysis for earlier detection, more accurate diagnosis, and precision medicine. The team works at the intersection of data, software, and clinical impact, building technology that supports better decision-making and helps advance the way heart conditions are understood and managed.

In this role, you will help shape the data foundations behind AI-driven products and workflows. As a Senior Data Engineer | Data Ops, you will play a key part in connecting complex data sources, strengthening the reliability of critical systems, and partnering closely with Product, Engineering, and Data Science to support high-impact work across the business.

What You Will Do

  • Lead the Design and Implementation: Architect and maintain high-performance, secure, and scalable data pipelines to support AI-driven workflows.
  • Drive Integration: Collaborate with 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 to streamline data processes and ensure operational excellence.
  • Monitor and Troubleshoot: 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 Data Science teams to ensure alignment on project goals and deliverables.

Requirements

Must-Have Skills

  • 3+ years of experience in DataOps, data engineering, or a similar role, preferably in a regulated industry.
  • 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.
  • 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 and Spanish

Nice-to-Have Skills

  • Familiarity with monitoring tools and data visualization platforms (e.g., Grafana, Power BI).
  • Exposure to machine learning workflows or AI model integration.

Benefits

🚀 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

đŸ‘©đŸ»â€âš•ïž Health Insurance covered by IDOVEN

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

đŸ–„ïž Remote Work Allowance for your home office setup!

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

😎 Regular team events and Thursday happy hours

And much more!

At Idoven, we believe in hiring top talented people like you - ambitious, forward thinkers who want to make a difference in the world and have an impact.

Diversity & Inclusion

At Idoven, we believe diverse teams build better products. We are an equal opportunity employer and welcome applicants from all backgrounds, regardless of race, gender identity, age, religion, sexual orientation, or disability.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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