Confirmed on the employer's own hiring board on Nov 9, 2026. First seen by Alion on Nov 9, 2026. KLM scores A on the Alion truth index.
Type of vacancy: Regular
City: Schiphol Oost
Hours per week: 40
Education: Hbo; Wo
Apply before:
Introduction
Join the DAKOTA team at KLM, where we leverage cutting-edge technology to create data solutions that enhance our operations and customer experience. We build and maintain the data infrastructure that helps KLM gain timely insights into its operations, analyse historical data and make information available through dashboards. By creating robust data infrastructure, we support KLM's mission to deliver operational excellence.
We are seeking a motivated and technically skilled third- or fourth-year student intern to contribute to our data engineering efforts using our tech stack, which includes Scala, Spark, Dataproc, BigQuery, and Bigtable.
What are you going to do?
1. Data quality monitoring
Help us make data quality checks more automated and effective across our cloud-based data infrastructure.
- Research approaches to automating data quality monitoring and validation.
- Design and implement improvements to checks in existing pipelines, using tools such as Spark and BigQuery.
- Develop automated notifications. For example, through Microsoft Teams or email, to flag potential data quality issues.
2. Improve Dakota system monitoring
Help improve the team’s central dashboard and monitoring solutions, which provide an overview of our running components and several automations.
- Review the current solutions and identify opportunities to improve its usefulness and clarity.
- Explore and recommend ways to present monitoring information more effectively.
- Implement selected improvements and test them with the team.
3. Data pipeline optimisation
Investigate ways to improve the performance and efficiency of our Spark data pipelines.
- Profile pipelines to identify opportunities for optimisation.
- Research and test approaches such as using efficient file formats like Apache Parquet or improving memory usage.
- Measure the impact of changes and document your findings.
Tech Stack:
- Languages & Tools: Scala, Spark
- Platforms: Google Cloud Dataproc, BigQuery, Bigtable
What will you learn?
- Gain hands-on experience with scalable data processing technologies.
- Develop skills in automating data infrastructure tasks.
- Enhance your ability to document technical processes effectively.
- Collaborate with a dynamic team on innovative data solutions.
Where do you land?
You will join the Data & AI Office Passenger Operations, which is part of the Operations Decision Support (ODS) department. This central centre of expertise supports and advises KLM’s entire 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 raise the organisation’s data maturity to the next level.
Your profile
- Proficiency in Scala (or experience with related object-oriented languages and/or functional programming).
- Familiarity with Spark.
- Familiarity with Cloud technologies.
- Strong problem-solving skills and attention to detail.
- Excellent communication skills, both written and verbal.
- Student of Computer Science or related program.
- Open to students from HBO or WO looking for an internship from 1st of February 2027.
Competencies
We offer
KLM offers you a highly instructive experience in a dynamic organisation in which you will play an important role. You can develop yourself considerably during this internship, both personally and professionally. In addition, this internship offers you the opportunity to build up your network, as you will be working with many different KLM employees!
Another advantage of a internship at KLM is the KLM Taxibaanassociation run by and for interns. This association expands your network and organises fun events and interesting excursions within the KLM organisation. There is also a internship allowance.
Ready for your next destination?
Then don't wait any longer and apply for this function before the final boarding call on ! You don't need to write a cover letter; during your application we will ask you some specific questions. You will be notified within two weeks of the closing date of the vacancy.
Did you know that according to research, women are less likely to apply than men when they don't meet all the job requirements? What a shame. Because, in our view, 'the perfect candidate' is a myth. So, if you have the drive to grow in aspects of this role, we look forward to your application.
Questions?
If you would like to know more about the internship position, please contact the hiring manager, or e-mail the recruiter for questions about the application process. In both cases, don't forget to mention the vacancy number: #23204. At KLM, we believe in the power of diversity. Would you like to read more about this? Please see our statement.
Hiring manager
Francoise Geerders: [email protected]
Recruiter
Jillian van Langen: [email protected]
Details from this vacancy are not to be used for marketing purposes.

