Data Engineer (Senior)

Introduction

Have you ever been staring at the sky at one of those Blue Airplanes of KLM and wondered what is needed to make them fly again day after day? Our Data Engineers prepare a lot of the data that is needed every day to make sure planes can fly in the most efficient way? Have you ever thought of how it would be to be part of this? As Data Engineer you help making AirFranceKLM ready for a future full of smart data solutions! Whether you are saving money by predicting when an airplane part needs maintenance or optimizing our daily operations by helping them to make the best decisions in case of last minute changes, you enable all this by providing them with the data needed.

What are you going to do?

As a Data Engineer you built data pipelines, industrialize machine learning and operations research models and replace legacy data warehousing systems with state-of-the-art data lake solutions. You do this as part of a central BI department from where you work in different businesses often as part of a product team. The businesses you work for are either up in the air or on the ground and can vary from operational to finance. All these different KLM business partners need the scalable future proof solutions you design, making use of structured and unstructured data. Once the solution is built, you ensure it gets operational and stays like that! This all of course in an agile environment. 

Where do you land?

Your chair is booked at Schiphol-Rijk, but most of the time you will be in the offices where the businesses are located. This can vary from Schiphol-Centrum, Schiphol-Oost or Amstelveen. Sharing your expertise with other is key, as there are thirty data engineers in the department who like to learn from you too! As many businesses work together with Air-France, a trip to France can be part of the job.

Your profile

We are looking for a Senior Data Engineer to help our teams make the best possible data solutions according to the company standards. You inspire your team to improve quality and performance of existing and new solutions.
Next to this you discuss the requirements with your stakeholders and explain them possible solutions or help them understand technical problems you phase. You coach your junior teammates on a technical level. You are always looking for opportunities to improve the quality of your solutions or try out new technologies.
Besides this you also have:

• Preferably bachelor's degree or higher in Computer Science, Software Engineering or other relevant fields (less important in light of work experience)
• At least 4+ years of experience building production-grade data processing systems as a Data Engineer using cloud technology (GCP is preferred) 
• Experience with Scala and at least 1 more server-side programming languages, e.g. Python, Java, etc.
• Understanding of common algorithms and data structures
• Experience with databases and SQL
• Knowledge of continuous integration/continuous deployment techniques
• Affinity with Machine Learning and/or Operations Research concepts 
   

Competencies