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Build and maintain large-scale data pipelines and data infrastructure for aviation-focused analytics at Xccelerated (part of Xebia) in the Netherlands, working with Scala, Spark, and Kafka on cloud platforms to support predictive maintenance, disruption management, and operational efficiency initiatives.
Xccelerated (part of Xebia), a tech accelerator in Amsterdam, is hiring data/cloud engineers to build a scalable Data Platform on Google Cloud. Day to day you design and build data pipelines; the role requires 3-4 years of data engineering experience and hands-on GCP and other cloud platform skills.
Build large-scale data pipelines and data infrastructure for aviation-focused analytics, working day to day with Scala, Spark, and Kafka on cloud platforms. You'll collaborate with data scientists, product owners, and business analysts on predictive maintenance, disruption management, and operational efficiency initiatives.
Designs and maintains large-scale, mission-critical data pipelines and cloud data platforms for a leading airline, supporting predictive maintenance, disruption management, and operational efficiency. Core stack is Scala (functional programming), Spark, Kafka, and cloud platforms like Airflow/Kubernetes.
Design and maintain scalable data pipelines on Google Cloud Platform, enable analytics and machine learning use cases, and collaborate with engineering and analytics teams to align architecture in a hybrid role with 4 days on-site and 1 training day per week.
Medior Data Engineer – Noord Brabant (Hybrid) Are you passionate about building scalable data solutions in the cloud? Do you want to work on a modern data platform from scratch while sharpening your skills with…
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