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Data Engineer

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Summary

Data Engineer building Python backend services, REST APIs, and data pipelines for passenger timeslot and demand-capacity balancing products at a Schiphol-based client. Work centers on Azure, Azure Database for PostgreSQL, and Kubernetes/OpenShift, in hybrid setup with a fixed Tuesday office day.

For one of our market leading clients in Schiphol, I'm recruiting for Data Engineer.

Role Overview

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.

Key Responsibilities:

  • 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.

Your Profile:

  • Technical Stack (Hard Requirements):

    • 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.

Skills

See also

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