Key Skills

Job Description

Senior Data Engineer (Scala) Location: Schiphol - 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 Interested? We'd love to meet you! Please get in touch with Samantha Alves Goncalves at [email protected] or by phone at 0613889770.

Core Responsibilities

Build, secure, and maintain scalable data pipelines and cloud-based data infrastructure that integrate data from internal and external sources. Collaborate with data scientists and business stakeholders to support aviation analytics, predictive maintenance, disruption management, and operational efficiency.

Requirements

The role requires around five years of data engineering experience and hands-on Scala experience. Candidates should know open-source technologies such as Spark, Kafka, Airflow, or Kubernetes, and be comfortable working with varied data types and distributed systems.