Data Berlin #31
Longer days, brighter evenings… and new opportunities.
🌞 Daylight saving time kicked in this Sunday, and you can already feel the difference.
Days are getting longer, the weather is warmer, and that energy shift is real. It’s that time of the year when things start moving again… including your career.
If you’ve been thinking about your next step in data, this might be the perfect moment to explore new opportunities in Berlin 🚀
Hackathon win for the Data Berlin community: huge turnout, strong projects, and real builder energy from start to finish. Thanks to everyone who joined, shipped, mentored, and cheered teams on. For us was a great experience.
This one set a high bar, and we’re already excited for the next edition. You can read more about it on Linkedin :)
The HandPicked Berlin Salary Trends Survey 2026 is open – Handpicked Berlin’s anonymous salary survey runs 1 Mar–1 Apr 2026. This is the last opportunity to be part of the Berlin salary landscape for 2026. Take the survey in Englihs or auf Deutsch; full details and past reports: 2026 overview.
We are all very curious to see the results.
📖Interesting Readings
Quite a lot of (and long) readings this time, but you have the long Easter weekend, so no excuses.
Spec-driven development beats vibe coding for agent workflows: define schemas and requirements up front, parallelize execution, evaluate outcomes against tests, and iterate specs to get reproducible, higher-trust AI results. – Specs Over Vibes: Consistent AI Results ft. Mark Freeman
AI’s real disruption may be less “10x output” and more that coding can become intrinsically enjoyable again, shifting the question from maximizing productivity to designing work people genuinely want to do. – Something good
Many data-team bottlenecks are organizational, not technical, so data leaders should borrow product-management playbooks (outcomes over outputs, continuous discovery, and team design for flow) to build teams that drive business value. – Why Don’t Data Leaders Read Product Management Books?
Across teams, the winning AI-engineering pattern is disciplined workflows (specs, clear context, separate generation from verification, and human review) rather than one-shot prompting, because speed without structure just scales technical debt. – How to Do AI-Assisted Engineering
Dimensional modeling organizes analytics data into fact and dimension tables (star schemas) to improve query performance and usability, and works best when you start with business process, grain, dimensions, and facts before comparing alternatives like OBT, Data Vault, or Inmon. – Dimensional Modeling 101: What It Is, Why It Matters, and How It Compares
AI is rapidly commoditizing much of day-to-day data tooling work (especially the “middle layer”), so the durable advantage for data practitioners shifts toward distribution, organizational context, and decision-level judgment rather than just building pipelines and dashboards. – The Wave
Fivetran is donating SQLMesh to the Linux Foundation to move SQL transformation tooling toward open governance, aiming for more transparent, vendor-neutral, and adaptable data infrastructure for analytics and AI workloads. – Fivetran Contributes SQLMesh to the Linux Foundation to Advance Open Data Infrastructure
☕ Upcoming Meetups & Events
April 16 — dbt Meetup - RSVP opens soon🚀
April 25-26 — Big Berlin Hack🔧
April 28 — PyBerlin 60 – April Event🐍
💼 This Week’s Job Picks
📊 Data Analyst
Data Analyst – Moody’s Corporation → Apply here
Growth Data Analyst – HelloFresh → Apply here
Data Analyst – EPAM Systems → Apply here
Senior Data Analyst, Product – GetYourGuide → Apply here
📈 Analytics Engineer
Analytics Engineer – Marketing & Growth – PERGOLUX → Apply here
Senior Data & Financial Analytics Engineer – Pliant → Apply here
Senior Analytics Engineer – ICE → Apply here
Senior Analytics Engineer – Enfuce → Apply here
⚙️ Data Engineer
Senior Data Engineer – Tripledot Studios → Apply here
Data Engineer – Deel → Apply here
(Senior) Data Engineer – Riverty → Apply here
Data Engineer – GCS → Apply here
🤖 AI / ML / LLM
Data Scientist – Deel → Apply here
Product Data Scientist, Search Quality – Perplexity → Apply here
Machine Learning Engineer – Almedia → Apply here
Senior ML Engineer – JetBrains → Apply here
Whether you’re actively looking or just exploring, now is a great time to see what’s out there.
Berlin continues to be one of Europe’s top hubs for data roles, and opportunities like these don’t stay open for long.
👉 Save this post, share it with someone who might be interested, and go get that next role 🚀
– The Data Berlin Team