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# Data Engineer

- **Company:** Xomnia
- **Location:** Amsterdam, Netherlands
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Testing (Software), Java (Programming Language), Airflow, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Engineering, Continuous Integration, Information Engineering, Python (Programming Language), Machine Learning, Open Source Technology, Software Engineering, Google Cloud, Apache Spark, Kubernetes, Information Technology, Cassandra, Apache Kafka, Data Pipelines, Service Stack
- **Published:** September 4, 2026
- **Apply:** https://www.xomnia.com/job/data-engineer/

## About the Role

We are looking for a data engineer with good communication skills, knowledge of open source technologies like Spark, Kafka, Airflow and Kubernetes together with experience in (at least) one of the major cloud environments (Azure, GCP, AWS)., * A minimum of 3 years experience as data engineer, machine learning engineer, or something similar

 * Masters degree in computer science, artificial intelligence or something similar
 * Experience using the right technology stack for the right problem with technologies such as Spark, Cassandra, Airflow, Kafka and Kubernetes
 * Experience in working with at (least) one cloud environment (Azure, GCP, AWS)
 * Excellent Software Engineering skills in Python, Scala or Java and knowledge of software testing and CI/CD
 * You enjoy achieving goals together with a team and realizing our client's ambitions
 * You enjoy creating tools that are reliable, accurate and transparent
 * You value continuous learning, personal development, and sharing your knowledge with the community
 * We have a preference for Dutch-speaking candidates

## Description

As a data engineer at Xomnia, you will work together with other junior, medior and senior team members on challenging projects for our clients. In these projects, you will take on complex problems such as building data pipelines, designing a cloud architecture, productionizing machine learning models and building custom software solutions. Together with the data engineering OR core team, you will follow the best practices in the field and ensure the right level of automation.


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