Senior Data Engineer | Data Ops

Idoven

9d•Remote

About The Position

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.

Requirements

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 Haves

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

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).
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.

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
Health Insurance covered by IDOVEN
Access to Wellhub (Gympass), empowering your physical and mental wellness!
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!