As a Senior Data Engineer, you will play a key role in building the data backbone of mama health’s real-world evidence platform. We use data mining and analytics to systematically map the end-to-end experiences of chronic patients so researchers, pharmaceutical companies, and governments can observe what actually happens along the patient care path.

In this role you will work hands-on with data from multiple sources and formats, including event data, operational systems, partner datasets, and unstructured inputs such as free text. You will turn these raw inputs into reliable, analytics-ready datasets that power patient journey analysis, product features, and reporting for pharmaceutical partners.

You will build and maintain data pipelines, define consistent data models, and enable fast and trustworthy access to data for analytics, product, and AI teams. You will implement monitoring and quality checks, improve pipeline reliability and performance, and help evolve the platform as product and data volume grow.

Working closely with cross-functional stakeholders (product, AI, data science, and healthcare experts), you will translate real-world needs into pragmatic data solutions while balancing speed with strong privacy, security, and correctness requirements in a sensitive healthcare context.

mama health’s mission is to build the largest healthcare data platform where patients find answers and healthcare players see how they can improve. We have two products: a Patient App that helps chronic patients find answers to daily questions using multi-agent systems and proprietary data, and a Patient Journey Analytics Platform to see real-time patient needs, roadblocks, and improvements for patient care.

Our values include an entrepreneurial spirit, results-driven culture, and inclusive values focused on building an international, diverse team. Most of the team is based in Berlin and we offer benefits such as educational courses, gym memberships, mentoring, frequent team events, and an annual team workation.