Data Berlin #15
Curated roles & events for the Berlin data community waiting for the holiday season
Hopefully you survive the Black Friday? December is here, Christmas markets are popping up on every corner of Berlin, and the city is filling with lights, Glühwein, and that end-of-year energy.
While everyone eases into the festive season, the data job market is still buzzing — so here’s a fresh round of news and roles across analytics, engineering, and AI. And yes, we just announced our last meetup of the year to keep your tech spirit warm this winter.
📖Interesting Readings
For anyone who missed the last 10–15 years of big-data: how we ended up with log-based metadata, how DuckLake wants to rewrite the playbook, and whether the community will bother to follow. Definetely a must read - Is DuckLake a Step Backward?
Are you wondering if Microsoft Fabric is finally mature enough to be a true end-to-end data platform? A reddit thread with first hand experiences - Consultant Perspective: Is Microsoft Fabric Production‑Ready or Not Yet?
What do people at OpenAI actually do with data? In this video Chao Sun reveals how they run both Databricks and open-source Spark at massive scale, covering cluster orchestration, ingestion frameworks, Delta Lake pipelines, and the real-world pain points of keeping it all running - Scaling Apache Spark at OpenAI
A clear playbook on how to build an AI-native engineering team, from workflows to roles to infrastructure. Useful if you want to see how LLMs reshape day-to-day engineering rather than just hearing the buzzwords - Building an AI-Native Engineering Team
A take on how the modern data stack is converging toward simpler, unified pipelines and why lightweight open-source tools like dlt are positioned to benefit. Useful if you are tired of glue work and sprawling architectures – The Convergence of the Modern Data Stack
A blunt look at why most data catalogs fail in practice and what teams should actually be doing instead of pretending they work. Useful if you feel your catalog looks great in demos but nobody uses it – Stop Pretending Your Data Catalog Is Working
☕ Upcoming Meetups & Events
December 2 — PyBerlin 56 – December event 📆
December 6 — Engineering LAN Party + League of Legends Tournament 🕹️
December 6 — PyLadies Conference Watch Party + Xmas Party 🎄
December 10 — PyData Berlin 2025 December Meetup✨
December 11 — Xmas Party for all Berlin Python groups 🎁
December 18 — Data Berlin Santa’s Data Workshop🎅
💼This Week’s Job Picks
🔍 Data Analyst
Senior Data Analyst – Size & Fit — Zalando → apply here
(Senior) Data Analyst — A11 → apply here
Product Data Analyst — Freenow → apply here
Marketing Data Analyst — Yousician → apply here
📐 Analytics Engineer
Analytics Engineer — Kraken → apply here
Analytics Engineer — Almedia → apply here
Senior Analytics Engineer — SumUp → apply here
Senior Analytics Engineer — Enpal → apply here
🛠 Data Engineer
Senior Data Engineer AI — TeamViewer → apply here
Data Engineer — Deutsche Bank → apply here
Data Engineer — GetYourGuide → apply here
Senior Data Engineer — Diconium → apply here
🤖 AI / ML / LLM
Senior AI Agent Engineer — Zendesk → apply here
Senior AI Engineer — RepRisk → apply here
Senior Deep Learning Engineer, Visual Generative AI — NVIDIA → apply here
Senior Machine Learning Engineer — Freenow → apply here
Thanks for reading and hanging out until the end. Hope you found a role, a link, or even just a small spark of inspiration to take with you into the new month. December is kicking off, things are getting a bit hectic everywhere, so take your time, breathe, and keep exploring what feels right for you. See you in the next edition!
See you next week,
– The Data Berlin Team