Senior Data Engineer – Berlin (On-Site)

Join to apply for the Senior Data Engineer – Berlin (On-Site) role at mama health .

Mission

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, transforming patient‑generated data into structured, high‑quality evidence that can improve decision‑making and ultimately patient outcomes.

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. Your responsibilities include building and maintaining pipelines, defining consistent data models, and enabling fast and trustworthy access to data for analytics, product, and AI teams. You will also implement monitoring and quality checks, improve pipeline reliability and performance, and help evolve the platform as our product and data volume grow.

Working closely with product, AI, data science, and healthcare experts, you will translate real‑world needs into pragmatic data solutions, balancing speed and iteration with a high bar for privacy, security, and correctness in a sensitive healthcare context.

Profile

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science, or a related field.
• 3+ years (or equivalent) experience in a Data Engineering / Analytics Engineering / Backend‑leaning data role.
• Strong programming skills in Python and solid SQL skills (joins, window functions, performance basics).
• Solid understanding of ETL/ELT concepts and experience building or maintaining data pipelines (batch and/or streaming).
• Experience working with relational databases (e.g. PostgreSQL/MySQL) and familiarity with analytical storage (e.g. BigQuery/Snowflake/Redshift) is a plus.
• Familiarity with orchestration or transformation tooling (e.g. Airflow, dbt, Dagster, Prefect).
• Ability to clean, transform, and validate large datasets, and to implement practical data quality checks.
• Interest or experience in extracting structured signals from unstructured data (e.g. free text / conversations) to support analytics.
• Basic experience with monitoring/observability for pipelines (logs, alerts, SLAs) and willingness to own reliability.
• Familiarity with cloud platforms (preferably AWS; GCP/Azure also fine) and containerization (e.g. Docker).
• Knowledge Graph is a plus but highly valued.
• Good engineering hygiene: Git, code reviews, small frequent commits, tests, CI/CD (to the level appropriate for data systems).
• Strong communication skills and willingness to collaborate with product, analytics, and AI teams.
• Comfortable working in a fast‑paced startup environment with iterative delivery.
• This role requires you to be based in Berlin.

About Us

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 built two products: a Patient App that helps chronic patients find answers to their daily questions using best‑in‑class multi‑agent systems and proprietary data, and a Patient Journey Analytics Platform that provides real‑time insight into patient needs, roadblocks, and improvement opportunities.

Values

• Entrepreneurial spirit: We seek exceptional talent with the drive, passion, and creativity to shape the future of our company.
• Results‑driven culture: We operate by objectives and reward exceptional performance.
• Inclusive values: We build an international, diverse team representing over five nationalities.

Work Environment & Benefits

Most of our team is based in Berlin, with regular trips to our Berlin office for remote team members. We offer educational courses, gym memberships, mentoring, frequent team events, and an annual “workation” for collaboration and bonding.