"We are increasingly speaking the same language."

  • Anne - DevOps Engineer at DataFAN

Tech & IT

A Journey from Psychology to Data Innovation

"The business processes here never stand still. No day is the same. There is always something new and complex."

A Journey from Psychology to Data Innovation

When did you start working at KPN and how did you join the team?

“After completing my psychology degree, a master’s in statistics, and my first job, I started a traineeship at KPN in 2022. This was arranged through an agency, which is how I joined this team. The work I do has quite a few psychological elements: the data engineers feel a bit like the odd ones out in the team and are constantly looking for ways to get people on board with our ideas. The project adds a lot of value to the organization.”

 

"The project adds a lot of value to the organization."

 

Why did you choose KPN?

“My previous job was not challenging enough. I was looking for a position where I knew I still had a lot to learn. I enjoy learning and challenging myself; otherwise, I get bored quickly. During the traineeship, I realized that this project had exactly what I was looking for.”

 

What makes your work interesting?

“The business processes here never stand still. No day is the same. There is always something new and complex. This variety and challenge make it interesting for me. Additionally, I appreciate being able to work from home a lot while still having regular meetings.”

 

What are you proud of?

“As a team, we really add something new to the organization. We have worked hard to demonstrate this added value. I am proud that the company recognizes this and even helps spread our mission.”

 

How do you keep developing in your field?

“For me, it mostly happens through learning on the job. There is a lot happening at our company, like a migration to the cloud. It’s great to be able to brainstorm with colleagues, even if they work in different parts of the organization.”

 

"We are increasingly speaking the same language."

 

What’s next?

“I expect the project to grow significantly in the coming years, with more computing models and even greater collaboration between the two teams. We are increasingly speaking the same language and building new use cases together.”