Data Engineer - Golang

Senior Data Engineer – Deep Turnaround

Royal Schiphol Group – Amsterdam Airport Area

Ever sat at the gate staring at your aircraft and wondering why boarding hasn’t started?

Aircraft delays don’t just frustrate passengers — they ripple across airports, crews, ground handling, and airlines, creating operational chaos and financial impact.

Now imagine using machine vision and real-time data engineering to understand — and reduce — those delays.

That’s Deep Turnaround.

About Deep Turnaround

Deep Turnaround is an AI-powered aviation solution developed by Royal Schiphol Group.

Using machine vision, it captures previously invisible data points in the aircraft turnaround process — one of the most delay-sensitive stages in aviation. These live insights are shared with airport partners to enable smarter, faster, data-driven decisions.

This is not a research project.

It’s a live, operational platform used in real airport environments.

The Role – Senior Data Engineer

As a Senior Data Engineer, you will:

• Scale and strengthen the Deep Turnaround data platform
• Drive engineering strategy for the coming years
• Improve reliability, performance, and automation
• Reduce manual onboarding effort for new airport deployments
• Act as technical lead during customer implementations

This is a hands-on role. You build. You design. You improve. You lead.

What You’ll Be Doing

Platform & Architecture

• Design and build robust, scalable data pipelines
• Develop small integration services (Golang preferred, Python secondary)
• Enable secure data exchange (SFTP/FTP, APIs, VPN, firewall rules)
• Configure external snapshot services on VM environments

Streaming & Data

• Work with Kafka or AMQP
• Integrate with ClickHouse, PostgreSQL, Object Storage
• Contribute to schema governance
• Improve CI/CD pipelines (GitLab/GitHub Actions)

Observability & Reliability

• Enhance monitoring (Prometheus/Grafana)
• Define SLOs
• Build actionable dashboards
• Own production triage for integrations
• Conduct post-mortems and convert fixes into automation

Onboarding & Automation

• Create templates, runbooks, and checklists
• Reduce ad-hoc support through architecture improvements
• Elevate the reliability baseline of the platform

What You Bring

• Bachelor’s degree in Computer Science, Software Engineering, AI, EE, or related
• 7+ years in production engineering environments
• Strong Go (must) or Python experience
• Streaming experience (Kafka or AMQP)
• ClickHouse/Postgres/Object storage knowledge
• CI/CD (GitLab or GitHub Actions)
• Docker + Kubernetes or Nomad
• Linux & networking fundamentals
• Experience with certificates, VPN, firewall configurations
• Strong observability mindset
• Confident communicator with customers
• Fluent English (Dutch is a plus)