Data Berlin #25
Data jobs, community events, and good reads for the Berlin data crowd.
The days are getting longer, the temperatures are (slowly) going up, and the Berlin data scene definitely isn’t slowing down.
In this issue you’ll find a fresh batch of data jobs, an upcoming meetup to get out and meet people in the community, and a few curated reads for your next coffee break.
Whether you’re actively looking for your next role, planning your next event, or just in the mood to learn something new, there’s something here for you.
Big thanks to this week’s sponsor, Exasol. If you’re working with analytics, it’s worth taking a minute to see what they’re building lately. They are also sponsoring our next meetup.
Exasol Personal is a great way to do fast analytics at any scale. It’s lightweight, practical, and ideal if you want to test ideas without spinning up a full enterprise setup. It is free for personal use with no limits on data, features, or performance.
They’re also bringing the community together with Exasol Xperience, their upcoming Berlin event on 10-11 March focused on real-world data engineering, analytics, and performance topics. If you’re around and curious about where analytics infrastructure is heading, it’s definitely one to keep on your radar. Register here for free.
And yes, they’re hiring. Exasol currently has several open roles across engineering and data, so if you’re looking for your next step or know someone who is, check out their job openings.
📖Interesting Readings
A very interesting article on how to use LLMs and typed tools (playbooks, MCP, human-in-the-loop) to automate incident response from paging through postmortem. Pretty sure data teams can take inspiration from this – How Google SREs Use Gemini CLI to Solve Real-World Outages
A survey of 1,101 practitioners shows data engineering splitting between teams with strong foundations and those without, with AI as table stakes, semantics and modeling in focus, and leadership gaps as the main bottleneck. – Where Data Engineering Is Heading in 2026 - 5+ Trends
Four quick dbt tests catch most silent failures before stakeholders see bad data. – The Cost of Silent dbt Failures: A 30-Minute Testing Strategy
What if your AI could turn a few lines of JSON into a full report? mviz does exactly that, compact specs become static HTML/PDF with ECharts, built for AI-driven ad hoc analysis. – mviz – A chart & report builder designed for use by AI
dbt’s --defer flag uses your production manifest so CI only builds and tests changed models (e.g. state:modified+), cutting CI time and warehouse cost by roughly 60–80% in real setups. – dbt Defer: Speed Up CI/CD Pipelines and Slash Compute Costs by 75%
☕ Upcoming Meetups & Events
February 17 — dltHub Community Meetup in Berlin✨
February 17 — DataTalkClub - GenAI transforming Engineering🎙️
February 18 — PyBerlin 58 – February Event🐍
February 19 — Python Users Berlin (PUB): Presentation Night: Whirlwind Tour of Numba 💡
February 26 — Hallo, Berlin – Introducing Intercom R&D 💾
March 10 — Hands-On Data Engineering: From Zero to Billion-Row Analytics — Berlin DataTalks Club ⚙️
March 18 — PyBerlin 59 - March event🗣️
💼 This Week’s Job Picks
📈 Data Analyst
Senior Data Analyst, Product — GetYourGuide → Apply here
Data Analyst, Product — Kraken → Apply here
Senior Data Analyst, Onboarding — Deel → Apply here
Senior Marketing Data Analyst — HelloFresh → Apply here
📊 Analytics Engineer
Senior Analytics Engineer — Wolt → Apply here
Principal Analytics Engineer — AutoScout24 → Apply here
(Senior) Analytics Engineer — Taxfix → Apply here
(Senior) Analytics Engineer — Scalable Capital → Apply here
🛠️ Data Engineer
Data Engineer — PERGOLUX → Apply here
Data Engineer — Globant → Apply here
Senior Staff Data Engineer — DeepL → Apply here
Data Platform Engineer — SoSafe → Apply here
🤖 AI / ML / LLM
Senior Data Scientist — GetYourGuide → Apply here
Senior AI Engineer — Solaris SE → Apply here
AI Engineer — Netconomy → Apply here
Machine Learning Engineer II — sennder → Apply here
That’s it for this week.
If your team is hiring, you’re organizing a data event, or you’ve read something worth sharing with the community, just hit reply, we’d love to feature it.
Enjoy the extra daylight and see you next week,
-The Data Berlin Team