Data Engineer – Passenger Flow & Platform Services 260901-JAS-001

Role Overview

Role Title: Data Engineer

Work Shift / Hours: 32 Hours / Week

Location: Hybrid / Fully Remote Option (1 mandatory on-site office day per week on Tuesdays)

Educational Requirement: Higher Professional Education (HBO level or equivalent)

Position Summary

We are seeking a Data Engineer to join a dedicated digital engineering team focused on creating seamless highly predictable passenger flows and operational capacity this role you will be responsible for the core data and software platform powering real-time passenger timeslot services. You will build maintain and scale backend applications REST APIs and data-intensive services that support critical operational decision-making.

Working closely with product owners data scientists and cross-functional engineering teams you will translate complex operational needs into production-grade highly reliable digital solutions.

Key Responsibilities

• Backend & API Engineering: Design develop and maintain robust Python backend services and REST APIs for internal and external consumption.
• Integrations & Pipelines: Build reliable data integrations and pipelines supporting core capacity balancing products and real-time operational processes.
• Cloud & Container Operations: Deploy monitor and operate applications in production environments utilizing Azure and Kubernetes/OpenShift infrastructure.
• Platform Reliability & Support: Ensure high availability and system resilience through active monitoring troubleshooting incident resolution and continuous technical improvements.
• Data Science Productionization: Collaborate directly with data scientists to operationalize and scale machine learning models and data products into production.
• Engineering Best Practices: Champion software engineering standards CI/CD automated pipelines comprehensive testing and clean code principles.

Candidate Qualifications & Competencies

Mandatory Technical Experience

• Backend Development: Strong professional experience in Python backend development and REST API architecture.
• Containerization & Cloud: Direct experience deploying and operating production applications using OpenShift and/or Kubernetes alongside Microsoft Azure (including Azure Database for PostgreSQL).
• Database Management: Advanced proficiency in PostgreSQL and complex SQL queries.
• DevOps & Delivery: Proven track record in production monitoring incident resolution CI/CD pipeline configuration and Git-based development workflows.
• System Integration: Hands-on experience delivering data-intensive platforms and APIs consumed by external services.
• Languages: Professional working proficiency in English (primary team delivery language) and Dutch (required for effective stakeholder collaboration).

Preferred Skills (Nice-to-Have)

• Experience with Databricks for big data processing.
• Familiarity with asynchronous task processing technologies such as Celery RabbitMQ or Redis.
• Background in developing and maintaining high-availability or operationally critical enterprise systems.