About JUNI
JUNI is building the leading startup ecosystem for science-based spin-offs in Berlin and Brandenburg. We connect universities, startups, corporates, investors and policymakers, and create the spaces, programmes and partnerships that translate research into successful companies.
That work produces data in many places: our own tools, our science partners, publications and patents, investors and talent. We are building JUNI Core, a central data platform that brings this together and feeds the tools our teams work with. We are looking for a Data & AI Engineer who owns this data layer long term: the pipelines, the data model, and the AI methods that make the data useful.
You report directly to our Head of Product & Tech and work closely with our Technical Product Manager and our IT & operations specialist.
Your mission
Data platform
Taking ownership of JUNI Core: the integration of all source systems, the data model and its operation
Building and running pipelines between our tools and the platform, in both directions
Keeping data reliable: one clear source for every field, syncs that don't create duplicates, alerts when something breaks
Adding new sources as they come and deciding how each fits the model
Data for our ecosystem tools
Working out with the Product & Tech team which data JUNI needs, where it comes from and what we may use it for
Building the data foundations for new tools in our ecosystem work
Bringing in external data such as publications, patents or company data via APIs and scraping, and linking it to what we already know
Making sure users can see where a result comes from
AI and data quality
Using LLMs and embeddings for matching, classification and enrichment, with evaluation built in
Defining what good output means per use case: acceptable error rates, reference cases, and what happens when a result is wrong
Working with the Technical Product Manager and topic owners on what is worth automating
Documentation and tests as part of the work, not after it
Your profile
4+ years as Data Engineer or Data Scientist, with pipelines and automations you have built and run in production
Strong in SQL and Postgres
Comfortable in Python for data work: pandas, notebooks, evaluation scripts
Experience integrating SaaS tools via APIs and webhooks, including sync in both directions
Practical experience with LLMs in data pipelines: embeddings, structured extraction, evaluation
Experience with matching, classification or ranking methods, and how to measure whether they work
You check what an API actually does instead of trusting its documentation
You design with GDPR in mind: consent, retention, access
You use Claude Code or similar AI coding tools daily and know where their output needs a hard review
Experience with record linkage or entity resolution is a plus
Fluent English; German is a plus
We offer
A role with real ownership: JUNI's data platform and the data behind our tools are yours to shape
Work that matters for science-based founders, researchers and our partners across Berlin-Brandenburg
A motivated team with a hands-on spirit and flat hierarchies
Flexible working hours and hybrid working
A modern working environment in the heart of Berlin
Compensation that reflects experience and responsibility