Data Berlin #40
If layoffs hit you, this issue helps you get back in the game: stronger CV, smarter search, better applications.
Issue #40 is for the whole Data Berlin crowd, with extra love for people job hunting right now.
Our last meetup was a great reminder of how strong this community is, and we’re already doing the next one on 18 June. By the way, June seems to be the right month for meetup goers.
If layoffs hit you: we’ve got your back. Opportunities are still out there, but they reward action - sharpen your CV, research teams properly, and apply with intent.
At databerlin.net, we help with both: stronger profiles and smarter job search.
What’s new on our job board
As we write, databerlin.net/jobs lists 685 open roles across 208 companies (and we’re aiming for 700). During the weekend we reached the limit of the minutes we can use on Github Actions, so… we made our ingestion process more efficient, it now runs 3 times faster. It should last us till we reach 2000 jobs ads.
In the last 30 days, the category who applied more often with databerlin.net is the Data Analyst one. Maybe we need more roles for the other categories.
📖Interesting Readings
Our World in Data rescales literacy, poverty, democracy, and vaccination as percentages of humanity from 1820 onward, which matters because it turns massive historical datasets into a narrative anyone can follow when debating whether things are getting better or worse. – The world as 100 people over the last two centuries
OpenCode’s co-founder on one of the fastest-growing AI coding harnesses, with a refreshingly skeptical take on hype, which matters if you want a grounded view of where agentic dev tools are actually heading. – Building OpenCode with Dax Raad
A MotherDuck advocate on why DuckDB is winning as stacks swing back toward simplicity, and why AI may explode query volume instead of killing data engineering, which matters if you are rethinking your platform bets for 2026. – Data, AI, and DuckDB
MIT Technology Review uses US labor data to separate AI jobs panic from what the numbers actually show, which matters in Berlin too when you are hiring, job hunting, or pushing back on doom headlines without evidence. – A reality check on the AI jobs hysteria
Grab’s analytics warehouse team shares how a production multi-agent Slack system cut repetitive support work and freed engineers for roadmap work, which matters if your platform team is stuck answering the same data questions in chat all week. – From firefighting to building: How AI agents restored our team’s core productivity
🚀 Shipping Now
🚀 Shipping Now
DuckDB v1.5.3 expands Iceberg with
MERGE INTO, fullALTER TABLE, and V3 partition transforms for upserts and schema evolution. (Minor note: DuckDB Labs rebranded to DuckLabs, reflecting DuckLake and Quack beyond the core database.)dltHub Transformation enters public preview as a Pythonic, agent-native engine for turning raw pipelines into canonical models.
ClickHouse Agents launches no-code agentic analytics as ClickHouse also ships CostBench and managed Postgres in public beta.
Snowflake Horizon Metadata Hub and Databricks Unity Catalog both push multi-catalog Iceberg: Horizon federates IRC catalogs from Snowflake, while UC GA’s managed Iceberg tables and foreign reads via Lakehouse Federation.
Starburst AIDA is generally available on Galaxy and Enterprise, bringing governed conversational analytics across federated data with MCP into operational tools.
DataHub Context Platform turns warehouse query history and BI metadata into a governed semantic index so agents like Genie and Snowflake Intelligence get validated joins and metrics via MCP.
BigQuery Data Science Agent is now GA in Colab Enterprise and BigQuery, giving teams a production path for notebook-style data science workflows inside BigQuery.
☕ Upcoming Meetups & Events
Jun 3 — dltHub × Metabase · Building in the open: Sameer Al-Sakran🔧
Jun 3 — The AI Native Enterprise · Agent Gateway Deep Dive w Christian Posta 🌐
Jun 4 — Berlin Startup School · AI Prototyping: idea to app 🚀
Jun 4 — Digitale Leute · DL Meetup #12 powered by SAP (Berlin) 🎤
Jun 9 — Berlin AWS User Group · AWS User Group Berlin — June 2026 ☁️
Jun 10 — BLISS · BLISS x QuantCo Workshop 📐
Jun 10 — PostgreSQL Berlin · PostgreSQL June Meetup 🐘
Jun 11 — Grafana & Friends Berlin · GrafanaCON Local meetup: Berlin 📈
Jun 11 — Qdrant · Listening to the World: Multimodal Search with Qdrant 🎯
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 🐻
Jul 8–10 — WeAreDevelopers · World Congress — CityCube, Messe Berlin; 20% discount with Community_DataBerlin 🎪
💼 This Week’s Job Picks
📊 Data Analyst
Product Data Analyst – FREE NOW → Apply
E-commerce Growth Analyst (all genders) – Distribusion → Apply
Senior Data Analyst (f/m/d) – think-cell → Apply
Data Analyst – Talon.One → Apply
Senior Data Analyst, Customer Care Analytics – GetYourGuide → Apply
And more here.
📈 Analytics Engineer
Senior Analytics Engineer - Run & Grow – SumUp → Apply
Senior Data Analytics Engineer (m/f/d) – GE Grid → Apply
Senior Analytics Engineer - SaaS (all genders) - Storefront – About You → Apply
Senior Marketing Analytics Engineer (m/f/d) – Entyre GmbH → Apply
Senior Analytics Engineer – Intercom → Apply
And more here.
⚙️ Data Engineer
Data Engineer (m/f/d) – Redcare Pharmacy → Apply
Software Engineer, Data Operations – Superhuman → Apply
Senior Data Engineer – Topi → Apply
Senior Data Engineer (Kineto) – JetBrains → Apply
Working Student (f/m/d) Engineering Data Governance – Siemens Energy → Apply
And more here.
🤖 AI / ML + 🧪 Data Scientist
AI Product Intern – SumUp → Apply
(Senior) AI Engineer - AI Booster Team (m|w|d) – idealo → Apply
Machine Learning Engineer – Wolt → Apply
Data Scientist (f/m/d) – PAIR Finance → Apply
Senior Data Scientist – SumUp → Apply
And more AI/ML roles here and Data Scientist roles here.
If this helped, drop a comment, share the link, and send it to one person who needs it.
Then do the most important part: apply. Daily. Applying is a skill, and skills improve with reps.
— Data Berlin team