Data Berlin #20
A fresh start, at your own pace.
January has that special, energizing feeling: the holidays are over, but the year is still wide open, full of potential. Hiring starts picking up, teams are opening new roles, and fresh budgets mean new opportunities across analytics, data engineering, AI, and data analysis.
The days are slowly getting longer, and there’s a sense of movement in the air, a perfect moment to explore what’s out there, update your profile, or even just get inspired by what the market has to offer.
Whether you’re actively looking or casually browsing, this is the time to plant seeds for your next big move.
📖Interesting Readings
A curated data engineering toolkit that maps common problems to practical tools, helping teams choose what to use without getting lost in hype or vendor noise - The Data Engineering Toolkit
A hands-on guide to implementing practical data quality checks with dlt, focusing on simple, testable patterns instead of heavyweight frameworks. - 11 Pythonic Data Quality Recipes for every day
An old one, but in case you missed ADBC,here performance comparison showing that ADBC outperforms JDBC in Python, many databases already have ADBC drivers - Comparing Performance of ADBC and JDBC in Python for Arrow Flight SQL
A practical case study on how Calm cut ETL costs by simplifying pipelines, reducing data movement, and leaning more on dbt for efficient transformations - How We Cut Our ETL Costs by 37% and Runtime by 44%: A dbt Optimization Story
Vendors News
Snowflake announced its intent to acquire Observe to embed AI-powered observability directly into the Snowflake platform. Hoping it leads to better native observability, easier pipeline debugging, and fewer “days since last incident” dashboards held together by custom hacks.
Databricks explains that orchestration was fundamentally broken all along, and luckily no one had ever solved it before, until Lakeflow arrived to save us from Airflow and ourselves. With this the executive that bought Databricks can schedule things without coding anything.
☕ Upcoming Meetups & Events
January 14 — PyBerlin 57 - January event 🐍
January 21 — PyData Berlin 2026 January Meetup ⚡
January 27 — Open Lakehouse and AI 🏞️
February 10 — Data Berlin Meetup (still in progress page) 🐻
February 12 — Python Users Berlin (PUB): The paradox of itertools.tee 💡
💼This Week’s Job Picks
📈 Data Analyst
Senior Data Analyst — Neko Health → apply here
Data Analyst (SaaS) — Roger → apply here
Senior Data Analyst (Marketing Analytics) — HelloFresh → apply here
Senior Data Analyst — JetBrains → apply here
📊 Analytics Engineer
Analytics Engineer — Aklamio → apply here
Senior Analytics Engineer — HelloFresh → apply here
Analytics Engineer — Almedia → apply here
Analytics Engineer — Glow25 → apply here
🛠️ Data Engineer
Data Engineer — Kpler → apply here
(Senior) Data Engineer — Scalable Capital → apply here
Senior Data Engineer – Integrations — Adsquare → apply here
Data Engineer — marta → apply here
🤖 AI / ML / LLM
Senior AI Engineer — Riverty → apply here
AI Engineer — Libra → apply here
(Junior) ML Engineer — Vattenfall → apply here
AI Data Engineer — Zendesk → apply here
That’s it for this week’s selection.
If something catches your eye, save it or share it with a friend who’s quietly job-hunting between U-Bahn stops and coffee breaks. And if you’re in Berlin, come say hi at a meetup: good conversations often lead to good new things.
– The Data Berlin Team
Thank you for the cool resources and happy new year to the team :)