Medior Data Engineer

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

Hours per week: Full-time [40h]

Think and work level: HBO or Academic | Computer Science | Data 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 am part of the development team and 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. I start my day with the daily stand-up. In the morning I have a call with a stakeholder to discuss how the funnel report indicates our areas of focus. In the afternoon, I formulate a plan on how to aggregate the right data for a KPI dashboard for a project. My role is very broad and I'm involved with the customer, software engineers, product owners and more. Afterwards, I go over some 'bronze' data and make a plan on how to improve the datasets so that we can make use of it. And finally, on Thursdays and Fridays, I grab a beer from 16:00 onwards and call it a day!

At Wolfpack we work in the Healthcare, Education and Tech sector. A big advantage of working at Wolfpack is that I work on a customer project, from start to finish. This makes me feel responsible together with my team. Sometimes things are not always according to plan, in that case we handle it as a team - order a pizza- and finish the release. It gives me energy when the customer is happy with the release and gives us a compliment!

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

• In the morning standup, you work together with your enthusiastic colleagues on how to achieve the sprint goal for the week.

• You design, build, configure and deploy data platforms which are scalable, reliable, efficient and of high quality.

• You design and implement the complete data infrastructure in Azure and/or GCP, including the Data Lake and Data pipelines.

• You work on monitoring and data-insights to further optimize the customer’s process, with for example Looker Studio or Grafana.

  
  

  

What the pack needs from you:

• You view the world through data structures and enjoy optimizing processes.

• You have between 3 and 5 years of experience as a data engineer or a similar role;

• You have the ability to envision the future in collaboration with the client, you identify and suggest ways to improve the product.

• You enjoy working with a team, but can also work independently, structured and with high quality standards.

• You have experience with the design and implementation of the complete data infrastructure in Azure or GCP;

• You have experience with data-warehousing, dashboarding, SQL as a programming language, data-pipelines, ETL.

• A nice to have would be experience with Power-Bi and/or DevOps.

Joining the pack

Working at Wolfpack means working together with thirty other talented, hungry wolves. At Wolfpack we aim to hire people that identify with our culture value's: "A Pack of Hungry Creators". In which Pack stands for Teamwork & Trust. Hungry for Learning & Dedication. Creators for Pride & Creation

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 (+/- 30% at home, 70% 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.