Data Berlin #33
New momentum, new opportunities, and a lot of reading stuff
Issue 33 is here, and yes, it is mid-April in Berlin and the weather is still grey.
On the bright side, databerlin.net is really taking shape: we now have more than 200 active jobs live on the site, and it is becoming a solid place to track data opportunities in the city.
Also, meetup update: we now have both a host and a date. Join us on April 23 at SumUp at our Spring Data Allergy meetup, and please share this newsletter with your colleagues.
We built a dedicated job board for real data and AI roles in Berlin. You can find the roles in this issue and more on the databerlin.net page.
If you’re hiring or know a company we should add, just reach out to us.
If you’ve been thinking about a change, or even just staying aware of the market, this is a good time to take a look around.
📖Interesting Readings
Wes McKinney shares how he moved from AI skepticism to an agent-first workflow, using multi-model coding and review loops to reshape how an experienced data engineer ships software. – # Wes McKinney on AI Agents, The Mythical Agent Month, and His Wild AI Coding Setup
A practical orchestration pattern uses a shared handoff folder plus session reuse so account-level query validation and codebase engineering happen in parallel, reducing iteration time and schema errors for analytics teams. – Two AI agents, one repo: delegating Snowflake work from Claude Code to Cortex Code
A candid leadership retrospective on building stronger data teams through continuous learning, architecture refactoring, trigger-based orchestration, governance discipline, and experimentation before scale locks in bad patterns. – Mistakes I made as the head of analytics (and what I’d do differently now)
This is the second Joe Reis link in this issue, but it’s a worthwhile reminder: as AI abstractions rise, fundamentals still decide whether systems stay robust or collapse into expensive “vibe-engineered” debt. – Do Fundamentals Still Matter in the Age of AI?
A useful reality check on DuckLake’s “900x faster” claim: the gains are real for micro-batch streaming because inlined writes avoid small-file overhead, but trade-offs shift toward catalog/database limits and workload fit. – DuckLake’s 900x Speed Claim: A Database in Your Catalog Is Worth Two in the Cloud
🚀 Shipping Now
dbt rolls out agent-focused updates and shows how Mammoth operationalizes AE agents with stronger governance loops.
Omni launches a modeling agent that auto-generates semantic structures from database schemas.
Paradime introduces DinoAI v3.0, an autonomous data engineering agent that turns requests into PR-ready work.
Datadog unveils its Bits AI eval platform for large-scale reliability testing of assistant outputs.
Google Data Cloud launches curation accelerators for schema discovery and data quality automation.
ClickHouse introduces
clickhousectl, a new CLI geared toward faster local/cloud and agentic workflows.
☕ Upcoming Meetups & Events
April 14 — Agentic Software Engineering Night #1 🤖
April 16 — Berlin dbt Meetup 🚀
April 23 — Spring Data Allergy (Data Berlin) 📊
April 24 — Berlin AI, ML and Computer Vision Meetup 🧠
April 25-26 — Big Berlin Hack 🔧
April 28 — PyBerlin 60 – April Event 🐍
💼 This Week’s Job Picks
📊 Data Analyst
Senior Consultant - Data Analytics (Supply Chain) – Celonis → Apply here
Business Intelligence Engineer – Tripledot Studios → Apply here
Senior Data Analyst – Parloa → Apply here
Data Analyst (JetBrains AI) – JetBrains → Apply here
And more here.
📈 Analytics Engineer
Analytics Engineer – JustPlay → Apply here
Senior Analytics Engineer (Finance & Operations) – PERGOLUX → Apply here
Senior Marketing Analytics Engineer – Entyre GmbH → Apply here
Senior Analytics Engineer – ICE (International Copyright Enterprise) → Apply here
And more here.
⚙️ Data Engineer
Data Engineer – SumUp 🎙️ → Apply here
Data Engineer – Redcare Pharmacy → Apply here
Staff Data Engineer – emnify → Apply here
Senior Data Engineer – JetBrains → Apply here
And more here.
🤖 AI / ML / LLM
Senior AI Backend Engineer – SumUp 🎙️ → Apply here
Senior AI Agent Architect – Parloa → Apply here
Principal Applied Scientist (Catalog/Search Ranking) – Zalando → Apply here
Data Scientist – Deel → Apply here
And more AI/ML roles here and Data Scientist roles here.
If this issue was useful, forward it to one colleague who cares about data and AI in Berlin. It really helps us grow the community, and we’d love to see you in person at the meetup on April 23 at SumUp.
— Data Berlin team