Lead Data Engineer

We celebrate diversity and encourage individuals of all genders (m/f/d) to apply.

We’re on the lookout for an ambitious AI-Engineer to join our Engineering team at our office in Berlin. Join us in building the largest AI enabled fintech for healthcare!

As part of our freshly launched AI division at Nelly, where you'll be one of the pioneers shaping our future in AI. In a small, agile team, you'll work on developing cutting-edge AI systems and robust data pipelines—from rapid prototypes to scalable production solutions. This role is ideal for someone who combines deep ML theory with practical cloud and data engineering know-how, and who can drive innovative GenAI initiatives while keeping a pragmatic product focus.

About Nelly

At Nelly, we’re revolutionizing medical practice management with AI-driven automation and seamless digital workflows. Our innovative solutions - from best-in-class patient journeys, AI enabled patient relationship management and billing to state of the art payment solutions - eliminate painful workflows and improve financial outcomes making healthcare administration smarter, faster, and 100% digital.

To fuel our mission, we just raised €50M in our Series B, backed by top-tier investors like Cathay, Notion, Lakestar, GFC, b2venture, and Motive Partners. With this momentum, we’re on a mission to build Europe’s largest fintech in healthcare - bringing best-in-class financial and operational solutions to over 1 million medical practices serving millions of patients daily.

Join us now if you’re driven by impact, excited by fast-paced innovation, and ready to shape the future of healthcare!

• Design and implement modern data-pipelines, orchestrating data-assets for our AI-solutions - from experimental prototypes to production-ready platforms.
• Design, build, and deploy agentic systems into production by leveraging cutting-edge AI advancements, including RAG, ReAct and Knowledge Graphs, to develop effective solutions.
• Evaluate, select, and integrate AI tools, frameworks, and platforms to ensure scalability, efficiency, and compliance.
• Embrace a fast-paced, agile environment where outcome and quick progress is achieved through experimentation and rapid iteration.
• You will support user interviews, contribute to product planning, and collaborate with cross-functional teams to drive impactful projects.

• At least 7 years as a software engineer, with 2+ years in AI, machine learning, and data engineering.
• Experience with modern data workflow orchestration frameworks such as Dagster, Airflow, or Prefect, with emphasis on dependency-aware pipelines.
• Experience with cloud native development, ideally AWS.
• Deep experience in Python and relevant frameworks such as pandas.
• Strong applied ML fundamentals alongside theoretical experience.
• A self-motivated and creative problem-solver with a passion for pushing the boundaries of AI in healthcare and fintech.
• A proactive and independent work ethic, balanced with strong team collaboration skills.
• Proficiency in English, Fluent German is a big plus.

• Competitive salary
• Top of the line working equipment
• Generous budget for learning and development activities
• Flexible working hours and hybrid work mode in Berlin
• 4 weeks workation possibility
• Cozy and dog friendly office in the city centre
• BVG Ticket or Swapfiets subscription
• Urban Sports membership

We are looking forward to receiving your application and welcoming you to the team.