AI Data Engineer / Data Scientist

Project overview

We are looking for an AI Data Engineer / Data Scientist to develop and support data products in the area of patient journey optimization and pre-call intelligence. This role combines data engineering, feature engineering, and applied machine learning to transform enterprise data into actionable insights and production-ready analytical solutions.

The ideal candidate brings practical experience with Snowflake, SQL, Python, and Dataiku, has knowledge of Snowpark or PySpark, and possesses foundational knowledge in machine learning. You will collaborate with data scientists and cross-functional teams to build reliable data pipelines, develop feature datasets, and support the deployment of scalable, data-driven products in a controlled enterprise environment.

Your responsibilities include querying, transforming, and optimizing data from Snowflake, creating and managing feature datasets, and developing analytical workflows in Dataiku. You will design and validate machine learning models for specific use cases, evaluate existing features to promote reuse, and monitor data pipelines for quality, reliability, and performance.

Required are in-depth knowledge of Snowflake, SQL, and Python, practical experience with Snowpark or PySpark, and familiarity with Dataiku. You should have experience in developing and maintaining production data pipelines and understand machine learning concepts. Strong analytical skills, problem-solving competence, and the ability for cross-functional collaboration are essential. An understanding of data governance and best practices in data quality completes the profile.

Project details

• Start: flexible
• Location: New York - - None Specified -, DE
• Languages: German