Lead Data Engineer

Nelly Solutions, a rapidly growing AI-enabled fintech company in healthcare, is seeking a Lead Data Engineer to join their Berlin office. Recently securing €50M in Series B funding from prestigious investors like Cathay, Notion, and Lakestar, Nelly is revolutionizing medical practice management through AI-driven automation and digital workflows.

The role sits within their newly launched AI division, where you'll be a pioneer in shaping the company's AI future. Working in a small, agile team, you'll be responsible for developing cutting-edge AI systems and robust data pipelines, from rapid prototypes to production solutions. The position requires a unique blend of deep machine learning theory and practical cloud/data engineering expertise.

As Lead Data Engineer, you'll be instrumental in designing and implementing modern data pipelines, deploying agentic systems, and leveraging advanced AI technologies like RAG, ReAct, and Knowledge Graphs. The role demands 7+ years of software engineering experience, with at least 2 years focused on AI and machine learning. Expertise in Python, cloud development (preferably AWS), and modern data workflow orchestration frameworks is essential.

The company offers an attractive benefits package including competitive salary, learning budget, flexible working arrangements, and various perks like Urban Sports membership and BVG ticket. This is an excellent opportunity for an experienced engineer who wants to make a significant impact in the healthcare technology sector while working with cutting-edge AI technologies.