At Powerful Medical, we are building a global life-saving technology. Our certified product utilizes AI and machine learning to diagnose cardiovascular diseases, the leading cause of death worldwide, by analyzing ECG scans. We have established partnerships with renowned global healthcare providers and are backed by leading European and US VCs.

As a Data Engineer, you will play a critical role in managing and processing diverse healthcare data from heterogeneous sources, enabling us to deliver world-class AI-powered solutions. You will design and maintain robust pipelines to handle and process a variety of datasets—structured and unstructured—empowering high-quality analytics and machine learning applications. Your contributions will help transform healthcare diagnostics and improve patient outcomes on a global scale.

Your role

• Develop and maintain data pipelines to process and transform data from a variety of heterogeneous sources, including hospitals, labs, and healthcare providers.
• Build robust systems for cleaning, normalizing, and integrating diverse datasets into formats suitable for machine learning and analytics.
• Collaborate closely with data scientists, clinicians, and product teams to understand data requirements and deliver impactful solutions.
• Ensure data quality by implementing automated validation, monitoring, and discrepancy resolution processes.
• Optimize data workflows to handle varying data formats, schemas, and structures efficiently.
• Contribute to architectural decisions to ensure systems are scalable, secure, and compliant with data privacy regulations like GDPR and HIPAA.

Your profile

• Proficiency in Python, with experience using standard data science libraries like Numpy, Pandas, and Scipy.
• Strong understanding of data modeling and schema design for structured and unstructured data.
• Excellent problem-solving skills, with the ability to manage complex data engineering tasks in a fast-paced environment.
• Strong communication and collaboration skills, with the ability to explain technical concepts to non-technical stakeholders.
• Experience in building and managing ETL pipelines for handling large and complex datasets from diverse sources.
• Familiarity with cloud platforms (e.g., AWS, GCP, or Azure) and their managed data services, though expertise in a specific platform is not required.
• MLOps experience and familiarity with AI frameworks like PyTorch are welcomed but not required.
• Previous experience in similar roles or tasks, preferably in a healthcare or MedTech setting, is highly desirable.

Why us?

• Mission-Driven Work: Contribute to technology that saves lives by revolutionizing cardiovascular diagnostics.
• Innovative Environment: Work with a team at the forefront of AI and healthcare integration.
• Professional Growth: Opportunities for continuous learning and development in a rapidly evolving field.
• Collaborative Culture: Be part of a diverse team that values open communication and teamwork.
• Competitive Compensation: Receive a comprehensive salary package with benefits.

If you’re passionate about leveraging AI to transform healthcare and have the expertise to drive innovation in medical diagnostics, we’d love to hear from you. Apply now to join Powerful Medical and be a part of our mission to save lives worldwide.

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Monthly salary: 3,000 – 4,000 EUR gross (depending on seniority) + equity

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