Job Description

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

We’re on the lookout for a Lead Data Platform Engineer to join our Engineering team at our office in Berlin. Join us in building the largest AI enabled fintech for healthcare!

At

Nelly

, we’re building data infrastructure that teams actually want to use. Our data doesn’t just flow — it’s

discoverable

,

well-documented

, and

designed with the developer experience in mind

. Every pipeline, schema, and tool we build ultimately serves a single goal: enabling teams to deliver more value to customers. We’re moving beyond basic data pipelines toward a

trusted, collaborative platform

— one where data consumers can

find what they need

,

understand how to use it

, and

contribute back

to its evolution. These pipelines will power strongly AI-enabled products and user flows.

As a

Lead Data Platform Engineer

, you’ll be joining a freshly launched team - shaping the technical direction and building the platform capabilities that make future growth sustainable. This role isn’t about moving data from A to B — it’s about treating data infrastructure as a product, serving internal teams through clean APIs, clear contracts, and comprehensive documentation. If you care about elegant systems, evolving schemas, and transforming messy data into accessible, reliable interfaces, this is your opportunity.

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!

Joining us, you will

Design data model evolution processes

including schema versioning, breaking change management, and impact communication

Implement data catalog solutions and documentation practices

that make metadata and lineage first-class concerns, not afterthoughts to support the data governance and security best practices in a regulated industry

Shape the technical direction

of our newly-formed data platform team, from tool selection to API patterns to data governance approaches

Architect and build backend services

in NodeJS/Python that enable teams to access and work with data confidently and in a reliable manner in order to build user-facing and AI-backed products

Bridge backend engineering and data infrastructure

, translating team needs into platform capabilities with developer experience in mind, that are scalable and unlock product innovation.

What you'll bring

2+ years

data platform engineering experience and

6+ years

of overall experience in the industry.

Strong software engineering experience in Python

with production REST API and data pipeline experience

Deep passion for documentation and knowledge sharing

- you've championed documentation-first practices and believe undocumented data is nearly useless

Data catalog experience

to set up a documentation basis on top the basis of Database Schemas (Postgres), OpenAPI schemas and language-agnostic IDLs

Proven ability to influence engineering culture

and spread best practices across teams without formal authority

Experience with data model evolution

including versioning strategies, migration processes, as well as data modeling practices to e.g. support processing of real-time, unstructured data to form structured bi-temporal stable representations

Experience in enabling AI use cases

by making data accessible both in an online manner as well as for offline evluation

Plus: AWS experience (big plus) and Dagster familiarity

to accelerate onboarding with existing infrastructure

Plus

: experience working in highly regulated environments, with heavy security and compliance requirements

What we offer

Competitive salary Work in a great team of talented and highly motivated people Dynamic environment, steep learning curve, and extensive development opportunities Part of an exciting FinTech startup in the German healthcare market Responsibility, independent work, and high flexibility Generous budget for learning and development First-class work equipment and flexible working hours Deutschlandticket or Swapfiets rental bike Urban Sports Club membership

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

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.