<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <em>We celebrate diversity and encourage individuals of all genders (m/f/d) to apply.<br/><br/></em>We're building data infrastructure that teams actually want to use.<br/><br/>At Nelly, data doesn't just flow - it's discoverable, documented, designed with the developer experience in mind, and ultimately always serving customer needs.<br/><br/>You'll be joining at a pivotal moment: we have working infrastructure, and we're refining it from "functional" to "exemplary." This means hardening our ingestion pipelines, building and maintaining a solid data warehouse, establishing data contracts, and implementing documentation practices where data models evolve thoughtfully. We're forming a dedicated data engineering stream within our Core Data team - and you'll be a key contributor shaping how we build and scale it.<br/><br/>This isn't a role about moving data from A to B. It's about making data infrastructure reliable, well-documented, and developer-friendly. If you care deeply about data quality, reliability, and enabling teams to trust the data they work with, this is your opportunity to build it right.<br/><br/><strong>About Nelly<br/><br/></strong>We are a Tech Company and we believe healthcare should feel a lot less like paperwork… and a lot more like people. So we’re building the technology that lets medical practices run smoothly, simply, and without all the admin chaos that slows everyone down.<br/><br/>Our platform turns messy processes into smart, automated workflows, from patient journeys to billing to next-generation payments. Powered by AI, built for real humans, and designed to give medical teams the time and headspace they desperately need.<br/><br/>Why? Because Europe is facing a massive shortage of medical assistants. And if we don’t rethink how practices operate, the system won’t be able to keep up. We’re here to fix that, not with band-aids, but with real transformation.<br/><br/>We’re backed by €50M in Series B funding from world-class investors and are scaling fast to build Europe’s leading healthcare fintech. Our vision: empower over a million medical practices and make life better for millions of patients.<br/><br/>But here's the part we’re proudest of: <strong>we only work with nice people</strong>. It’s our number-one rule. No egos, no drama, no jerks. Just kind, curious, hardworking humans building something meaningful together.<br/><br/>If that sounds like your kind of place - welcome to Nelly.<br/><br/><strong>Joining us you will<br/><br/></strong><ul><li>Own and evolve our data pipeline infrastructure - designing and maintaining reliable, scalable ingestion and transformation pipelines across our practice management systems landscape and internal sources</li><li>Own our data warehouse: drive thoughtful data modeling, ensure high data quality, and make it a trusted foundation for the Analytics and product teams who depend on it</li><li>Define and enforce data contracts with producing teams, ensuring schema stability, clear ownership, and reliable data delivery</li><li>Drive data model evolution: managing schema versioning, breaking change processes, and communicating impact clearly to consuming teams</li><li>Build and maintain Reverse ETL pipelines to sync curated data back into operational systems and tools used across the business</li><li>Establish monitoring, alerting, and incident response practices for our data systems, ensuring high availability and fast time-to-recovery</li><li>Drive documentation culture around data - catalog, lineage, and metadata as first-class concerns, supporting governance and compliance in a regulated healthcare environment.</li><li>Partner closely with the Data Analytics, Product and Engineering streams to ensure data is structured, accessible, and trustworthy for downstream analysis and reporting<br/><br/></li></ul><strong>What You'll Bring<br/><br/></strong><ul><li>Strong software engineering experience in Python with production-grade data pipeline experience.</li><li>Hands-on experience building and maintaining data warehouses and implementing data contracts between teams</li><li>Experience with data transformation and modeling, working with both structured and semi-structured data sources</li><li>Practical experience with Reverse ETL</li><li>Experience with data model evolution: versioning strategies, migration processes, and maintaining backward compatibility across consumers</li><li>Strong experience with AWS</li><li>Experience with Kafka or similar event streaming platforms</li><li>Experience implementing monitoring and observability for data systems</li><li>Experience working with messy, heterogeneous data sources</li><li>Experience working in regulated environments with security and compliance requirements is a strong plus</li><li>Deep passion for documentation and knowledge sharing - you've championed documentation-first practices and believe undocumented data is nearly useless<br/><br/></li></ul><strong>Nice to have<br/><br/></strong><ul><li>Familiarity with Dagster or similar workflow orchestration tools.</li><li>Exposure to data catalog tooling.</li><li>Some experience or familiarity with AI/ML use cases - making data accessible for both real-time consumption and offline model evaluation. We're not hiring for this today, but it's something we'll grow into.</li></ul> </div>