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Digital Jobs
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Data Jobs
We are a strategic partner for cutting-edge companies in the technology industry.
We find the best talent, and help build amazing companies.
02
Core areas of
Specialism
15
countries worldwide
5 offices worldwide
150 Employees worldwide
1867
Placements last year
THE DIGITAL & DATA RECRUITMENT MARKET
The number of skilled applicants for Digital and Data roles in our regions is slowly rising, but it's not growing nearly as quickly as Digital and Data vacancies in technology companies are - there is a growing talent gap which has no sign of slowing down. The graphs below visualise this growing talent gap we've seen over the past two years at Darwin, both in Europe & the USA.
DIGITAL VACANCIES VS ACTIVE DIGITAL TALENT
DATA VACANCIES VS ACTIVE DATA TALENT
your insight into the technology market
Our Market Updates include information on how long it takes to fill a position, how many candidates were local, how many spoke the local language, and what the average salary ranges were - all broken down into individual technologies like Data Science, Data Engineering, Frontend, Backend Blockchain and more. We also compare figures to previous Market Updates to show how the market is evolving and where the demand is.
We have multiple Market Updates based on the major locations we recruit in: Berlin, Hamburg, Munich, Denmark, Norway, Sweden, Switzerland, the Netherlands, New York & Boston.
Perfect for job seekers or hiring managers looking at budgeting and setting realistic hiring timeframes.
OUR PREVIOUS EVENT PARTNERS & SPEAKERS
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Wayfair
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TNT
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TravelBird
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Deutsche Telekom
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Solaris Bank
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Sixt
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Payback
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Microsoft
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Maersk
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CIC
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Babbel
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Trip Advisor
WATCH LIVESTREAM REPLAYS FROM OUR GLOBAL MEETUPS
LATEST TECH & DARWIN NEWS
ARTICLES FROM OUR SPECIALIST CONSULTANTS
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How can tech start-ups showcase an employer brand to compete with FANGs in the war for talent?
Hiring tech staff in New York can be difficult for any employer. But it's even more demanding for tech start-ups who are competing with FANGs to secure the best talent. FANGs being an acronym for F...
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4 Biggest Issues Faced by AI Businesses When Hiring
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Recommender Systems
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Machine Learning and Customer Service
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Machine Learning Now Understands Fashion
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Machine Learning Prediction With Python: Property and Car Price
What if I could show you how Machine Learning is used in everyday application to predict property and car prices? Or better yet, give you insight as to how one of the biggest companies in Germany d...
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Machine Learning Examples in Social Housing
What if, by the end of this article, you will know how machine learning has been implemented in the social housing sector? Or, even better, an insight into a company that has first-hand experience ...
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Applications of Machine Learning in E-Commerce from Wayfair
I am going to give you an insight into one of the fastest-growing e-commerce companies around at the moment. And better yet, give you an exclusive insight to what they’re working on next! You won’t...
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4 Powerful Artificial Intelligence Examples from SGX Analytics
What if I could give you some Machine Learning examples and Artificial Intelligence examples that are being implemented into areas of our everyday lives? This is exactly what I’m going to show you ...
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