Senior Data Engineer – Data Ops

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Idoven

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2018

🏥 Healthcare

⚕️ Healthcare Insurance

🤖 Artificial Intelligence

💰 Grant on 2022-06

Healthcare • Healthcare Insurance • Artificial Intelligence

Idoven is a pioneering company in the field of cardiology that utilizes artificial intelligence to enhance cardiovascular diagnostics and precision medicine. The company offers a unique cardiology-as-a-service platform that augments clinicians' abilities to identify, triage, and diagnose patients at a large scale. Idoven's platform integrates seamlessly with various ECG devices and electronic health records to provide rapid and accurate identification of cardiac anomalies. Trusted by leading life sciences and MedTech companies, Idoven's technology aims to improve patient outcomes and drive innovation in healthcare, particularly in the fields of arrhythmia detection and cardiac risk prediction. Its solutions include digital diagnostics, remote patient monitoring, and comprehensive preventative screening programs.

📋 Description

• 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 • 👩🏻‍⚕️ 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!**