We celebrate diversity and encourage individuals of all genders (m/f/d) to apply.
We're building data infrastructure that teams actually want to use. At Nelly, data doesn't just flow - it's discoverable, documented, designed with the developer experience in mind, and ultimately always serving customer needs.
What to expect in the role as Senior Data Engineer:
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.
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.
About Nelly
We are building the AI-Driven Financial Operating System for European healthcare, solving the biggest challenges for patients and practices. We create what no bank or software platform can handle. Our all-in-one platform transforms chaotic administrative processes into intelligent, automated workflows, from patient care to billing to next-generation payments. Because we truly believe: healthcare should be less about paperwork and more about people.
Why? Because Europe is facing a massive shortage of medical professionals. And if we don't rethink the way practices work, the system won't be able to keep up. With our Series B funding of over €50 million from world-class investors, we are turning our vision into reality.
What to expect: We work with the best team, which is why we give everything together every day. We believe in Talent Density, because exceptional people make everyone around them better. At Nelly, we move fast and expect everyone to keep up. Stagnation isn’t an option, which is why we invest heavily in growth. AI isn't a nice-to-have at Nelly. We expect you to use it every day and give you everything you need to do so. You get trust and ownership and we expect you to speak up, even when it's uncomfortable.
Joining us you will
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
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
Define and enforce data contracts with producing teams, ensuring schema stability, clear ownership, and reliable data delivery
Drive data model evolution: managing schema versioning, breaking change processes, and communicating impact clearly to consuming teams
Build and maintain Reverse ETL pipelines to sync curated data back into operational systems and tools used across the business
Establish monitoring, alerting, and incident response practices for our data systems, ensuring high availability and fast time-to-recovery
Drive documentation culture around data - catalog, lineage, and metadata as first-class concerns, supporting governance and compliance in a regulated healthcare environment.
Partner closely with the Data Analytics, Product and Engineering streams to ensure data is structured, accessible, and trustworthy for downstream analysis and reporting
Our tech stack:
AWS, Apache Iceberg on S3, dbt, PostgreSQL / RDS, Python, SQL, Looker, Dagster, Datadog, Terraform / IaC, Kafka, Docker
What you'll bring
Strong software engineering experience in Python with production-grade data pipeline experience.
Hands-on experience building and maintaining data warehouses and implementing data contracts between teams
Experience with data transformation and modeling, working with both structured and semi-structured data sources
Practical experience with Reverse ETL
Experience with data model evolution: versioning strategies, migration processes, and maintaining backward compatibility across consumers
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
Experience working in regulated environments with security and compliance requirements is a strong plus
Deep passion for documentation and knowledge sharing - you've championed documentation-first practices and believe undocumented data is nearly useless
Nice to have
Familiarity with Dagster or similar workflow orchestration tools.
Exposure to data catalog tooling.
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.
What we offer
BVG ticket or Swapfiets membership, so you get around the city fast
Urban Sports Club membership, for sport and balance
Flexible working hours and a hybrid setup
Up to 4 weeks of workation
A dog-friendly office with great vibes and a team that's fun to work with
Snacks and a fridge full of cold drinks
