Data Engineer

As a Data Engineer, you will build and maintain the backend applications, REST APIs, and data-intensive platforms that power passenger timeslot services and demand-capacity balancing. Operating within a collaborative engineering environment (with a fixed Tuesday office day on-site), you will bridge data science and software engineering to ensure seamless, predictable passenger flows without waiting times., * Backend & API Development: Design, build, and maintain robust Python backend services and REST APIs consumed by both internal and external stakeholders.

• Data Pipelines & Integration: Build reliable data integrations and pipelines supporting GreenWave operational products and predictive models.
• Cloud Operations & Deployment: Deploy, monitor, and operate production-grade applications using Microsoft Azure, Azure Database for PostgreSQL, and Kubernetes/OpenShift.
• Reliability & Monitoring: Ensure high platform availability through proactive monitoring, troubleshooting, rapid incident resolution, and CI/CD workflow improvements.
• Cross-Functional Collaboration: Partner closely with data scientists to productionize machine learning models, working alongside product owners and engineers to translate business needs into scalable solutions.

Your Deliverables:

• Production-ready Python backend services and external-facing REST APIs.
• Reliable PostgreSQL data pipelines and Azure-hosted infrastructure frameworks.
• CI/CD deployment pipelines, automated test suites, and operational monitoring dashboards.

• Strong backend development experience in Python and REST API creation.
• Solid database skills in PostgreSQL and advanced SQL.
• Hands-on production experience with Microsoft Azure (including Azure Database for PostgreSQL) and container orchestration using Kubernetes and/or OpenShift.
• Proven background managing git-based CI/CD workflows, production monitoring, and incident resolution.
• Language (Mandatory): Excellent communication skills in both English and Dutch.
• Preferred: Experience with Databricks; asynchronous processing technologies (Celery, RabbitMQ, Redis); and building highly available, operationally critical systems.