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Our friends at Motherduck are hosting the upcoming event at their office in Amsterdam at the Eastern Docklands

17:30 – πŸ• Welcome

18:00 – 🎀 TBD
Chris Verweij (Data Engineer) @ Nimbus Intelligence

18:30 – 🎀 TBD
Leonardo Vida (Customer Engineer) @ MotherDuck

19:00 – 🎀 The state of Freelance Data Jobs in the fall of 2025, using dashboarding-as-code
Lasse Benninga (Data Freelancer) @ LaBenni Consulting

19:30 –πŸ₯€ Drinks & Snacks

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About the speakers:

🎀 Leonardo Vida (MotherDuck)
Leonardo Vida helps data teams of all sizes adopt DuckDB-powered analytics across cloud and local stacks. Formerly a senior data engineer and consultant, he designed data platforms across sectors from FMCG to insurance, and is interested in database-centric AI workloads, particularly building analytics agents with DuckDB

🎀 Lasse Benninga (LaBenni Consulting)
*I’m Lasse Benninga, a freelance data/analytics engineer with 7+ years of experience in the data field. Having worked as a consultant for the past 5 years, I’ve now transitioned into freelancing and help clients with a variety of challenges from scanning their current data stack to helping implement data warehouses and software solutions. I also offer a scan for SMB to help them in their next steps to increase data maturity and AI-readiness: https://data-apk.nl*

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About the talks:

The state of Freelance Data Jobs in the fall of 2025, using dashboarding-as-code
Dashboarding-as-code, the practice of defining dashboards using code instead of solely in the UI, has become more popular in recent years. In this talk I will show the benefits of defining charts and visuals using code, while simultaneously diving into the Dutch Freelancing market for β€œData jobs” over the past couple of months. We will take a look at the noticeable effects of the Dutch Tax Authority rules for false-employment/schijnzelfstandigheid in the data field, and which job titles and technologies are hot nowadays while showing the power of code for quick iterations.

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Events in Amsterdam, NL
Big Data
Data Analytics
Data Engineering
Data Management
Database Professionals

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