Category: Traineeship data engineering

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How Docker and Kubernetes’ Open Source Technology is Winning Over Businesses

By Young Mavericks’ Data Engineer Don de Lange

Data Engineers must ensure that technological solutions for companies can actually be implemented. In order to fulfil these technical promises in an increasingly complex data-driven world, like many other Data Engineers, I use various software and data tools. Docker and Kubernetes, two leaders in the field of open source technologies, help to build, manage and scale apps in containers. In this blog I explain what Docker and Kubernetes are, why more and more companies are taking advantage of their expertise and how you yourself can take advantage of these platforms.

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Interview with Data Engineer Joeri: About solving puzzles, tadpoles and the language of programming

Young Mavericks’ Data Engineer Joeri (26) helps professionalize the Waterschap (Water Board) Aa en Maas. He is working on ‘Python Refactoring’ in their Datalab, a process aimed at optimizing existing codes, which makes them more accessible, user-friendly, easier to manage and more error-proof. Joeri: “Colleagues at Aa and Maas did not immediately see the added value of refactoring. By showing the time and money it could save them, I was able to win them over. Now, everybody is excited.”

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| by Lars Kieftenburg

Discover how Young Mavericks’ Data Engineering Traineeship inspired Kevin’s (32) career switch

Hey everyone, I’m Kevin Bowey. Thanks to Young Maverick’s October Data Engineering Traineeship, I am currently enjoying working as Junior Data Engineer. You might think to yourself: wow, starting a traineeship at 32? Hell yes! Many of my fellow trainees dove into the world of Big Data during or immediately after their studies. My path to machine learning, however, was a lot less straightforward – a ‘detour’ that gave me unique skills as a Data Engineer.

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| by Lars Kieftenburg

Young Mavericks’ Yaleesa: “My mission? Shaking up the IT world.”

Yaleesa’s (28) interest in the wonderful world of machine learning was peaked at the end of her BA in Information Science. Yaleesa: “For my ambitious graduation research, I was looking for an answer to my specific problem and ended up with a supervisor.He convinced me of the unique potential of machine learning. Although I quickly discovered that machine learning is no walk in the park, I feel at home in the IT world – and more specifically with Young Mavericks.”

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Interview with Young Mavericks’ Data Engineering trainees Sije and Don

What drew Sije and Don to the Data Engineering Traineeship? What are the program’s advantages and challenges and why do they wholeheartedly recommend the Young Mavericks traineeship? Read the double interview with trainees Sije and Don below.

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