#InsideAT - Our new Data Engineer Trainee Travis Hammond

by | 10 February 2022 | #InsideAT

In our #InsideAT series we regularly present new employees. Today it's Travis Hammond's turn. He is starting with us as a data engineer trainee - in this interview he tells us what drove him to join, what his background is and how he likes to spend his life outside of work.

What position will you take on at AT?

I'm starting as a Data Engineer Trainee, but I'm also planning to work in Data Science and DevOps later on.

How did you become aware of AT?

Through my job search, I came across a job posting from AT on LinkedIn, which then landed me on their homepage and I was immediately excited.

Why did you choose AT?

AT puts a lot of emphasis on their company culture and the promotion of their employees. In addition, their goals match my interests almost perfectly!

What are you looking forward to the most?

Above all, I am looking forward to successfully implementing projects with my team and gaining a lot of practical experience in the process.

What did you do before?

So far, I have studied Artificial Intelligence at the University of Groningen.

Where were you born and raised?

Across the history of the world. My parents travelled and moved a lot when I was little and I took that wanderlust with me.

What has been your favourite travel destination so far and where would you definitely like to go?

My favourite place so far has been Eastern Europe and I definitely want to go back to Australia for a longer period of time.

What are your three most important work utensils?

Laptop, headphones and a new cup of coffee

What was the last book you read?

Dirk Gentley's Holistic Detective Agency - Douglas Adams

What would you get up for in the middle of the night?

My friends and my cat are actually more important to me than my sleep

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[at] EDITORIAL

Our AT editorial team consists of various employees who prepare the corresponding blog articles with the greatest care and to the best of their knowledge and belief. Our experts from the respective fields regularly provide you with current contributions from the data science and AI sector. We hope you enjoy reading.

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