Director Engineering - Infrastructure and Data at Impossible Cloud
📍 Hamburg, Hamburg, Germany
Wahbi Haribi is the Director of Engineering for Infrastructure and Data at Impossible Cloud, specializing in high-performance architecture and AI-enabled data ecosystems. His career is marked by leadership roles where he has built large-scale data platforms and company-wide data lakes. He holds an MSc from Kiel University.
He is currently focused on building the next generation of decentralized cloud infrastructure, specifically optimized for the future of AI and Web3 applications.
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Experience
16 Years
Current Role
Director Engineering - Infrastructure and Data
Job Level
Mid-senior
Location
Hamburg, Hamburg, Germany
Personality Overview
How Wahbi shows up
Price-Sensitive
Value Seeker
Not Easily Convinced
While they don't hesitate to ask questions, they are generally risk-averse and tend to be late adopters. They generally do not appreciate an overfriendly approach and prefer to stay to-the-point. They are more likely than others to negotiate on pricing and terms.
Priorities
Topics Wahbi cares about
Decentralized Cloud
Currently leading efforts to build the next generation of decentralized cloud infrastructure, focusing on scalability and applications for AI and Web3.
High-Scale Data Platforms
His experience includes building big data platforms to process billions of events and architecting data lakes that serve as a knowledge base for global businesses.
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Career
Work history
9-2022
Director Engineering - Infrastructure and Data
Impossible Cloud
6-2021 - 9-2022
Senior Director Data Strategy & Digital Transformation
SPORTFIVE
6-2020 - 5-2021
Head of Engineering
Gehalt.de GmbH
7-2017 - 6-2020
Head of Data and Business Intelligence
Gehalt.de GmbH
10-2016 - 6-2017
Team Lead Data Engineering
Goodgame Studios
In the press
Media appearances
No media yetWe could not find public media appearances for this person.
Education
2011 - 2013
Master of Science (MSc)
Kiel University
9-2002 - 7-2005
Bachelor's degree
INSAT - Institut National des Sciences Appliquées et de Technologie
Calculativeness (C) reflects the degree to which a person is likely to be cautious, systematic and analytical. Those scoring high tend to emphasise quality and accuracy.
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