ppIdoven 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. /p pIn 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. /p h3What You Will Do /h3 ul liLead the Design and Implementation: Architect and maintain high-performance, secure, and scalable data pipelines to support AI-driven workflows /li liDrive Integration: Collaborate with cross-functional teams to autonomously manage the ingestion, transformation, and integration of large datasets from external partners /li liEnhance Data Quality and Compliance: Build systems to ensure data quality, integrity, and regulatory compliance (e.g., ISO 13485, GDPR) /li liBuild and Automate: Develop reusable code and frameworks to streamline data processes and ensure operational excellence /li liMonitor and Troubleshoot: monitor data pipelines, resolve issues autonomously, and implement safeguards to minimize disruptions /li liInnovate: Identify and implement best practices and emerging technologies to enhance data infrastructure and team efficiency /li liCollaborate Globally: Serve as a technical expert, working closely with Product, Engineering, and Data Science teams to ensure alignment on project goals and deliverables /li /ul h3Requirements /h3 h3Must-Have Skills /h3 ul li3+/5+ years of experience in DataOps, data engineering, or a similar role,



preferably in a regulated industry /li liProficiency with SQL and NoSQL databases and experience designing complex data pipelines /li liExpertise in cloud platforms (AWS, GCP, or Azure) and tools like Terraform, Kubernetes, and Docker /li liProven ability to work autonomously, drive projects independently, and deliver measurable results /li liStrong communication and leadership skills to mentor team members and coordinate with diverse stakeholders /li liFluency in English and Spanish /li /ul h3Nice-to-Have Skills /h3 ul liFamiliarity with monitoring tools and data visualization platforms (e.g., Grafana, Power BI) /li liExposure to machine learning workflows or AI model integration /li /ul h3Benefits /h3 ul liBe part of one of the most disruptive startups in HealthTech and AI and make a difference /li liPersonal and professional growth as part of a fast-growing, international team /li liNo corners cut in having the best tech equipment to do your job /li liUnlimited remote working environment, where you can choose to work from home and attend our Madrid office whenever you want to /li liLearning and development opportunities and training budget /li liFlexible Remuneration /li liHealth Insurance covered by IDOVEN /li liAccess to Wellhub (Gympass), empowering your physical and mental wellness! /li liRemote Work Allowance for your home office setup! /li li23 holidays, your birthday off, and December 24th and 31st half days to celebrate! /li liRegular team events and Thursday happy hours /li liAnd much more! /li /ul pAt 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. /p h3Diversity Inclusion /h3 pAt 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. /p /p #J-18808-Ljbffr

📌 Senior Data Engineer | Data Ops (Madrid)
🏢 IDOVEN
📍 Madrid