Data Engineer

Nelly Solutions builds an AI-driven financial operating system for European healthcare, transforming administrative processes into automated workflows for patient care, billing, and payments. The platform aims to reduce paperwork in medical practices to address the shortage of healthcare professionals.

• Own and evolve data pipeline infrastructure by designing and maintaining scalable ingestion and transformation pipelines;
• Own the data warehouse, drive data modeling, ensure high data quality, and maintain it as a foundation for analytics and product teams;
• Define and enforce data contracts with producing teams to ensure schema stability and reliable data delivery;
• Drive data model evolution, including schema versioning and breaking change processes;
• Build and maintain Reverse ETL pipelines to sync curated data into operational systems;
• Establish monitoring, alerting, and incident response practices for data systems;
• Drive a documentation culture around data, including cataloging, lineage, and metadata;
• Partner with Data Analytics, Product, and Engineering streams to ensure data accessibility and trustworthiness.

• Strong software engineering experience in Python with production-grade data pipeline experience;
• Hands-on experience building and maintaining data warehouses and implementing data contracts;
• Experience with data transformation, modeling, and working with structured and semi-structured data;
• Practical experience with Reverse ETL;
• Experience with data model evolution, versioning strategies, and maintaining backward compatibility;
• Strong experience with AWS;
• Experience with Kafka or similar event streaming platforms;
• Experience implementing monitoring and observability for data systems;
• Experience working with messy, heterogeneous data sources;
• Deep passion for documentation and knowledge sharing;
• Nice to have: Experience in regulated environments with security and compliance requirements, familiarity with Dagster or similar workflow orchestration tools, exposure to data catalog tooling, experience or familiarity with AI/ML use cases.

• BVG ticket or Swapfiets membership;
• Urban Sports Club membership;
• Flexible working hours;
• Up to 4 weeks of workation;
• Dog-friendly office;
• Snacks and drinks.