Computer Science graduation or working internship

Job type: Regular
Location: Schiphol Oost
Hours per week: 40
Education level: HBO; WO
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Come do an internship with team DAKOTA at KLM. We use advanced technology to develop data solutions that improve our business operations and customer experience. We build and maintain the data infrastructure that provides KLM with timely insights into business operations, enables analysis of historical data, and makes information available via dashboards. With a robust data infrastructure, we contribute to KLM's mission to continuously improve operational performance.

We are looking for a motivated and technically skilled third- or fourth-year intern who wants to contribute to our data engineering activities. We work with technologies such as Scala, Spark, Dataproc, BigQuery, and Bigtable.

1. Monitoring data quality

Help us further automate and improve data quality checks within our cloud-based data infrastructure.

• Research possibilities to automatically monitor and validate data quality.
• Design and implement improvements to checks in existing pipelines, for example using Spark and BigQuery.
• Develop automated alerts, for example via Microsoft Teams or email, to signal potential issues with data quality.

1. Improving monitoring of the DAKOTA system

Help us improve the team's central dashboard and monitoring solutions. These provide insight into our running components and various automations.

• Review current solutions and map out possibilities to make them more useful and clear.
• Research and advise on how monitoring information can be presented more effectively.
• Implement selected improvements and test them together with the team.

1. Optimizing data pipelines

Research how we can improve the performance and efficiency of our Spark data pipelines.

• Analyze pipelines to find opportunities for optimization.
• Research and test solutions, such as efficient file formats like Apache Parquet or improvements in memory usage.
• Measure the effect of adjustments and document your findings.

• Languages and tools: Scala, Spark
• Platforms: Google Cloud Dataproc, BigQuery, Bigtable

• Gain practical experience with scalable technologies for data processing.
• Develop skills in automating tasks within data infrastructure.
• Improve your technical documentation skills.
• Collaborate with an enthusiastic team on innovative data solutions.

You will become part of the Data & AI Office Passenger Operations, which is part of the Operations Decision Support (ODS) department. This is the central center of expertise that supports and advises the entire KLM operation in achieving its goals through the use of data and AI. You will work in a team of specialists with a shared mission: to take the organization's Data Maturity to a higher level.

• You are proficient in Scala, or have experience with similar object-oriented programming languages and/or functional programming.
• You have some experience with Spark.
• You are familiar with cloud technology.
• You are good at problem-solving and work accurately.
• You communicate clearly, both orally and in writing.
• You are studying Computer Science or a related field.
• You are pursuing an HBO or WO degree and are looking for an internship starting from February 1, 2027.

KLM offers you a very educational experience in a dynamic organization in which you will play an important role. You can develop yourself strongly in this internship, both personally and professionally. Additionally, this internship offers you the opportunity to build your network, as you will be sitting at the table with many different KLM employees!

Another advantage of an internship within KLM is the association by and for interns; KLM Taxibaan. This association expands your network and provides pleasant events and interesting excursions within the KLM organization. There is also an internship allowance.

Then don't wait any longer, and apply for the 'final boarding call'! You do not need to write a motivation letter; during your application, we will ask you some targeted questions. You will receive a message from us within two weeks after the closing date of the vacancy.

Did you know that according to research, women are less likely to apply than men if they do not meet all the job requirements? A shame. Because 'the perfect candidate' is, as far as we are concerned, a myth. So, do you have the drive to still grow in some aspects of this role? We look forward to your application.

If you want to know more about the internship position, please contact the hiring manager, or email the recruiter for questions about the application procedure. In both cases, do not forget to mention the vacancy number: #23204. At KLM, we believe in the power of diversity. Would you like to read more about this topic? View our statement.

Francoise Geerders: FRANCOISE.GEERDERS@KLM.COM

Jillian van Langen: JILLIAN-VAN.LANGEN@KLM.COM

We do not appreciate recruitment based on this vacancy.