Data Engineer (Scala)

Xebia Group; Amsterdam; Hybrid; EUR 90,000 - 120,000; Full time

Job summary

Xebia Group in Amsterdam is seeking a Senior Data Engineer (Scala) to build large-scale data pipelines for airline domain, including predictive maintenance and operational analytics. You will work in a hybrid setup spanning on-site and remote, collaborating with data scientists and product teams.

The role emphasizes hands-on Scala, Spark, Kafka, and cloud platforms, with opportunities to influence data architecture and enable AI tools across maintenance, disruption management, and e-commerce

Qualifications

• Around 5 years of experience as a Data Engineer.
• Hands-on experience with Scala.
• Knowledge of Spark, Kafka, Airflow or Kubernetes.
• Comfortable scaling from a single machine to distributed systems.

Responsibilities

• Build, secure, and manage reliable data pipelines and data flows from multiple internal and external sources
• Integrate data into cloud-based platforms to support analytics and operational tools, ensuring platform scalability
• Collaborate closely with data scientists, product owners, and business analysts on data-driven aviation projects
• Support and maintain the data infrastructure behind advanced AI tools, including predictive maintenance models, disruption decision-support systems, and applications that help reduce operational waste
• Manage active data integrations across operations, fleet maintenance, and e-commerce systems within a cloud environment

Skills

Scala

Spark

Kafka

Cloud platforms

Data pipelines

Tools

Airflow

Kubernetes

Job description

Senior Data Engineer (Scala)

Location: Amsterdam (hybrid)

Are you a data engineer with hands-on Scala experience who wants to build large-scale, mission-critical data pipelines for one of the world's leading airlines? Join a team that builds scalable data infrastructure supporting predictive maintenance, disruption management, and operational efficiency across the entire airline.

Data engineers here build scalable data pipelines, manage cloud platforms, and support aviation innovations using functional programming and big data tech stacks like Scala, Spark, and Kafka.

What you'll do

• Build, secure, and manage reliable data pipelines and data flows from multiple internal and external sources
• Integrate data into cloud-based platforms to support analytics and operational tools, ensuring platform scalability
• Collaborate closely with data scientists, product owners, and business analysts on data-driven aviation projects
• Support and maintain the data infrastructure behind advanced AI tools, including predictive maintenance models, disruption decision-support systems, and applications that help reduce operational waste
• Manage active data integrations across operations, fleet maintenance, and e-commerce systems within a cloud environment

Tech stack

• Scala and functional programming
• Spark and Kafka
• Cloud-based data platforms

This is you

• Around 5 years of experience as a Data Engineer
• Hands-on experience with Scala
• Knowledge of open-source technologies like Spark, Kafka, Airflow or Kubernetes
• Comfortable working with a variety of data types, formats, and velocities and scaling from a single machine to distributed systems
• Customer-focused with a strong can-do mentality; results-driven and eager to take on challenging tasks