For the Royal Schiphol Group we are looking for a Data Engineer (Senior) - Deep Turnaround: Ever experienced a flight delay? You literally see your aircraft out the window, and wonder: "why haven't we started boarding yet?" The reality is flights get delayed all the time, and for many different reasons. The challenge is to prevent delays from cascading into much larger problems, leading to all sorts of disruptions to future dependent parties and processes. Delays are not only (painfully) inconvenient, they can also be expensive for the parties involved. What if we can use modern data-science and engineering to get a better understanding of the underlying problem? Perhaps gain insights to help mitigate or even prevent certain delay types from happening? That's where our solution, Deep Turnaround, comes into play! Deep Turnaround uses "machine vision" (AI) to generate previously unknown data points on the aircraft turnaround process. These live data points can then be shared with relevant airport parties to facilitate data-driven decision making. As a Senior Data Engineer, you will focus on developing, scaling, and continuously improving the Deep Turnaround data platform and work with the Engineering team to develop an Engineering strategy for the coming years. You’ll work closely with other engineers to design and build robust data pipelines, improve platform performance and reliability, and turn operational insights into concrete platform improvements. While you’ll contribute to integrations for new airport deployments, the emphasis is on reducing manual onboarding effort through better architecture, tooling, and automation. Your tasks include setting up secure data exchange for customers, building and maintaining small integration services, enhancing monitoring and observability, creating documentation, managing production triage, and contributing to the technical vision of the platform.

Bachelor’s degree in computer science, software engineering, data/AI, EE, or related field; 7+ years in production engineering. Proficient in Go (must) or Python (second language); experienced in developing reliable, maintainable services. Experience with streaming (Kafka or AMQP) and data stores (Clickhouse/Postgresql/Object Storage). CI/CD with Gitlab or Github Actions; containers (Docker) and orchestration (Kubernetes or Nomad). Linux/networking fundamentals; competence with SFTP/FTP, certificates, VPN, and firewall rules. Observability mindset (Prometheus/Grafana, structured logging, tracing) and an on-call-friendly approach. Clear communicator; comfortable with customers and cross-functional teams; English required (Dutch a plus).

We bieden een uitdagende rol met de mogelijkheid om bij te dragen aan een innovatief project binnen de luchtvaartsector, met ruimte voor professionele groei en ontwikkeling.