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Senior Data Engineer

Nelly
CompanyNelly
CategoryEngineering
LocationBerlin
RemoteHybrid
EmploymentNot stated
LevelSenior
SalaryNot stated by the employer
Posted12 Jun 2026
Last verified30 Jul 2026
SourceEmployer career page (ashby)
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Description
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
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