Data Berlin #42
Don't panic. The answer to life, the universe, and your analytics stack.
Forty-two. The answer to life, the universe, and everything — and as of this issue, the number of times we’ve landed in your inbox. Don’t panic.
Big news this week: the US government pulled the plug on Fable. It was nitce till it lasted, but another signal for people wondering how Anthropic compares with OpenAI and the others. Life goes on, and so does the shipping.
Meanwhile, the June 18 Agentic Analytics Roundtable is sold out, five practitioners from SumUp, Miro, CarOnSale, Taxfix and nao Labs comparing notes on what AI agents actually look like inside a real analytics stack. We’ll share the highlights next week.
Agentic Analytics
Our friends at nao Labs put together a short survey on how teams in Berlin are actually adopting analytics agents. The results will shape the discussion live at our next meetup.
Whether you’re deep into it, just poking around, or quietly skeptical, your take matters. It takes 3 minutes and the questions are good, we were able to answer them while preparing this issue :)
📖Interesting Readings
Framing completion as a mutual agreement rather than an internal polish threshold builds the reliability track record that unlocks better opportunities, which matters because over-engineering beyond scope quietly erodes the trust you actually need to advance. – How to Finish Early and Satisfy your Stakeholders
Being the sole data person in a company feels like ownership but quietly becomes a career trap, which matters because converting tribal knowledge into version control, playbooks, and documented architecture is the only way to stay hireable when you want to move on. – The Single Point of Failure: How Mid-Market Leadership Weaponizes Your Potential
The real bottleneck in AI-era data work is still messy pipelines and weak modeling skills, which matters because SQL, Python, and data architecture knowledge is what lets you validate and steer whatever AI generates. – In 2026 The Data Fundamentals Matter More Than Ever
A demo that took two evenings instead of weeks illustrates how pairing an LLM with a semantic layer removes the time constraint from ambitious data projects, which matters because scope decisions can now be driven by usefulness rather than feasibility. – Blobby’s World Cup Bracket Challenge - Built with Omni, Snowflake CoCo, and Claude
Cloud AI pricing pressure is making open-weight models on consumer hardware worth a serious look, which matters because a few configuration tweaks — mainly context window size — bring local inference close enough to cloud performance for most development workflows. – Using local LLMs for agentic coding
🚀 Shipping Now
🚀 Shipping Now
MotherDuck ships Flights, agent-native Python pipelines that run directly next to the warehouse, accessible via MCP, SQL functions, or UI.
Databricks open-sources Omnigent in alpha, a meta-harness letting you swap between Claude Code, Codex, and custom agents with a single config change.
BigQuery’s Data Engineering Agent hits GA, autonomously detecting and fixing pipeline breaks while suggesting schema and partitioning improvements.
Google introduces Open Knowledge Format v0.1, a vendor-neutral markdown-plus-YAML spec so both humans and AI agents can share and read data metadata without a proprietary SDK.
Omni adds a Dashboard Builder that generates charts and layout from a text description and shows you the query plan before rendering anything.
Hex published Fable 5 evals showing 93% accuracy on analytical tasks — then Anthropic pulled the model on June 12th due to US export controls.
☕ Upcoming Meetups & Events
Jun 16 — Bob DACH Developer Community · Session & Coding Watch Party💻
Jun 16 — Berlin Power BI User Group · Introduction to DAX User Defined Functions (UDFs) 📊
Jun 18 — Data Berlin · Agentic Analytics Meetup 🐻
Jun 19 — AI-Memory Hackathon 🚀
Jun 25 — applydata Berlin · Designing APIs & Building Contextual Chatbots 🔧
Jul 8–10 — WeAreDevelopers · World Congress — CityCube, Messe Berlin; 20% discount with Community_DataBerlin 🎪
💼 This Week’s Job Picks
📊 Data Analyst
Mid Data Analyst - Finance – SumUp → Apply
Senior Data Analyst (Kineto) – JetBrains → Apply
Data Analyst - Marketing – Enpal → Apply
Senior Marketing Data Analyst – AutoScout24 → Apply
And more here.
📈 Analytics Engineer
Senior Analytics Engineer - Run & Grow – SumUp → Apply
Analytics Engineer – Statista → Apply
Senior Analytics Engineer - Marketing DSA – Vinted → Apply
Data Analytics Engineer – adsquare → Apply
Analytics Engineer – JustPlay → Apply
And more here.
⚙️ Data Engineer
Senior Data Engineer - Flexibility – gridX → Apply
Senior Data Engineer - Sponsored Content & Products – About You → Apply
Senior Data Platform Engineer – FlixMobility → Apply
Data Engineer II, Quick Commerce Operations – Delivery Hero → Apply
Senior Data Engineer (Search) – Cortea AI → Apply
And more here.
🤖 AI / ML / LLM + Data Scientist
Senior AI Backend Engineer – SumUp → Apply
Senior ML Ops Engineer – Redcare Pharmacy → Apply
Machine Learning Engineer – Zalando → Apply
Senior AI Engineer – 1Global → Apply
Data & AI Solution Architect – Databricks → Apply
And more AI/ML roles here and Data Scientist roles here.
🧭 Leadership
Engineering Manager - Edge AI – SumUp → Apply
Head of Data Solutions – vio → Apply
AI Lead, Python Tools – JetBrains → Apply
AI Governance Lead – GetYourGuide → Apply
Senior HR Analytics & Automation Manager – Flaconi → Apply
And more here.
A hoopy frood always knows where their towel is and, apparently, where the jobs are. The Data Berlin board keeps growing: 764 open roles across 221 companies this week. We hope to see you at the next meetup. Or like, share and comment if you want something bigger for the next time.
So long, and thanks for all the data.
— Data Berlin team