Data Engineer

Locatie: Eindhoven, op de campus van de Technische Universiteit Eindhoven

Hours per week: Full-time [40h]

Think and work level: HBO or Academic | Computer Science

Are you enthusiastic about data and how to manage that properly in complex software landscapes? Join our team of like-minded enthusiasts to take our Wolfpack projects to the next level!

What you tell your friends you do:

“As a Data engineer I help clients with managing their data, so they can get the most business value out of it. To do this, I use my existing knowledge, but also keep up to date with new technologies, so I can always advise and build the best future proof solution. Afterwards I explain to a new colleague how we use our Kafka Connectors, before finally grabbing a beer and calling it a day!”

But wait… what does that mean, day-to-day?

• You design, build, configure and deploy data platforms which are scalable, reliable, efficient and of high quality. Specifically using Apache Kafka clusters in Kubernetes (via Strimzi);

• You use Kafka Connectors to connect many different systems (e.g. Databases, Third Party SDK’s, API’s);

• You work on (Kafka) monitoring and data-insights with for example Grafana (possibility to extend to other tools);

• You are used to working with scrum, have regular communication with your colleagues and do peer reviews to make sure the sprint goals are met. Possibility to lead the team if you bring enough experience.

What the pack needs from you:

• Minimum of 3 years of experience of running and managing multiple Kafka clusters and Kafka related components (e.g. Kafka Connect);

• Coding experience in Java or Kafka specific Java based connectors;
  

• You identify and suggest ways to improve the product;
  

• You have preferably worked with Kubernetes and/or Docker or are willing to learn;
  

• You work independently, structured and with high quality standards;
  

• Other Data Engineering experience is a plus, you know how data flows between different systems (data visualization, efficiency and optimization of data flows, data models and data mining, database design, SQL) and are familiar with ETL.

Joining the pack

Working at Wolfpack means working together with over thirty other talented, hungry wolves. You will work closely together with Wolfpack’s project managers and your fellow project wolves. Our three core pillars are talent, performance and flexibility. We recruit IT talent early in their careers and give them the opportunity to develop, not only (in) software, but also in soft skills: both professionally and on a more personal level.

What we offer you:

• A competitive salary (we do not believe in a fixed range in a vacancy, but we discuss your salary wishes and together we look at the possibilities within Wolfpack based on your work experience, education and the role you are looking for).
• Good secondary employment conditions, such as: a (green) pension, a lot of freedom in your hours, good equipment and attention to your personal development.
• Smart colleagues with a similar technical background.
• We work together in project teams, at our own location in Eindhoven, on the TU/e ​​Campus. So we do not second.
• Flexible hybrid working (+/- 40% at home, 60% in the office). Everyone is welcome at the office every day. We find it important that the office is a place to meet, work together and find each other.