Data Berlin #29
Fresh data jobs in Berlin this week, from analytics to AI
Apologies for being late. This week we got a few things on our plates. The Data Berlin meetup yesterday, our first hackathon next week (see below), plus life and work. Wise men always tell you to balance life and work, then they live alone and jobless on a mountain. Thanks wise man.
If you work with data, you probably know the feeling: you open LinkedIn “just for a minute,” and suddenly you’re three tabs deep into job posts, dashboards, AI announcements, and someone explaining why their new framework will revolutionize analytics.
To save you the scrolling, we’ve gathered some of the most interesting things to read for you, say no to doom-scrolling, yes to deliberate learning.
Plus the usual jobs in case you are looking for fresh air. And don’t forget the next events in Berlin.
That said. Let’s dive in. 🚀
📖Interesting Readings
Use SQL transpilation (e.g., BigQuery to DuckDB) to run parts of your warehouse DAG locally in a “quack mode,” pulling only needed dependencies and optionally pushing results back, cutting costs while keeping your existing stack. – Lower your warehouse costs via DuckDB transpilation
Choosing full refresh vs incremental loading affects cost, runtime, and reliability—use full refresh when tables are small and simple wins, and move to incremental (date/ID appends, merge/upsert) when scale or freshness demands it. – Full Refresh vs Incremental Pipelines
A/B testing is for genuine uncertainty, not a “test everything” ritual—if a change is an obvious win and costly to validate (especially with low traffic), ship it and monitor, saving experiments for meaningful risk and ambiguous tradeoffs. – 💥A/B Testing Wizard Tips - Episode 4: the “let’s A/B test everything” disorder.
Claude Code can bootstrap a credible dbt project and autonomously debug it, but it still makes trust-eroding mistakes (silent data gaps, dropped fields), so today it’s best treated as a high-leverage companion for data engineers rather than a replacement. – Claude Code isn’t going to replace data engineers (yet)
☕ Upcoming Meetups & Events
🧠 Hackathon – Data Berlin
Ready to build instead of just bookmarking tutorials? This community hackathon by Data Berlin is a full-on day of hands-on data work: form a team, pick an idea, and turn raw datasets into something real, a pipeline, a dashboard, an experiment, or a beautifully over-engineered MVP.
Expect a mix of hacking, learning, and spontaneous knowledge-sharing, whether you come with a project in mind or just curiosity. Perfect if you want to try new tools, meet the Berlin data crowd, and leave with fresh skills (and probably new friends).
Hosted by Snowflake and sponsored by Collate and Lightdash, with the support and a hack challenge from our friends at JustWatch.
March 18 — PyBerlin 59 — March event🗣️
March 23 — Data Berlin presents: Berlin Analytics & AI Hackathon👾
March 24 — How to Evaluate MCP-powered AI Agents Beyond Accuracy using Agent GPA — Berlin DataTalks Club🤖
April 28 — PyBerlin 60 – April Event🐍
💼 This Week’s Job Picks
📊 Data Analyst
Staff Data Analyst, Marketing Analytics — GetYourGuide → Apply here
Junior Data Analyst — Haystack → Apply here
Data Analyst III — Mercor → Apply here
Senior Commercial Data Analyst — Moss → Apply here
🏗️ Analytics Engineer
Analytics Engineer (Marketing) — Deel → Apply here
Senior Analytics Engineer — Oviva → Apply here
Senior Analytics Engineer — DeepL → Apply here
⚙️ Data Engineer
Senior Data Engineer — 4flow → Apply here
Scientific Data Engineer — Bayer → Apply here
Senior CRM Data Engineer — Zalando → Apply here
Senior Data Engineer — Diconium → Apply here
🤖 AI / ML / LLM
Data Scientist — SumUp → Apply here
Senior Data Scientist — HelloFresh → Apply here
Staff Machine Learning Engineer (AI Platform) — Smartly → Apply here
Principal AI/ML Scientist & Engineer — Pipedrive → Apply here
That’s it for this week’s edition.
If your team is hiring, you’re organizing an event, or you came across an article the community should read, just hit reply, we love featuring things from the Berlin data ecosystem.
And if you’re around, hopefully we’ll see you at the meetup or the hackathon soon.
– The Data Berlin Team