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

ITproposal BVArr. AntwerpenEURESpubblicata il 02/09/2026
Indispensabile:PythonGitAzureKubernetesCloudBackendDevOpsDataCI/CDAI

Role Objective:

Build, scale, and maintain the core data platform, backend applications, and REST APIs for real-time passenger timeslot services and operational capacity balancing. Act as a bridge between product owners, data scientists, and engineering teams to deliver reliable, production-grade solutions.

Backend & API Engineering:

Develop and maintain robust Python backend services and REST APIs for internal and external consumption.

Data Pipelines & Integrations:

Construct reliable data pipelines and integrations to support real-time operational workflows and capacity products.

Cloud & Operations:

Deploy, manage, and monitor applications in Azure and Kubernetes/OpenShift production environments.

Reliability & Incident Management:

Drive high availability, platform resilience, continuous improvements, and rapid troubleshooting/incident response.

Data Science Productionization:

Operationalize and scale machine learning models and data science products into production.

Engineering Standards:

Enforce CI/CD pipelines, automated testing, clean code practices, and modern software engineering standards.

Mandatory Technical Experience:

  • Backend & APIs: Strong professional experience with Python backend engineering and REST API design.
  • Cloud & Containers: Hands-on deployment and management in Microsoft Azure (including Azure Database for PostgreSQL) and Kubernetes/OpenShift.
  • Databases & SQL: Advanced proficiency in PostgreSQL and complex SQL querying.
  • DevOps & Delivery: Production monitoring, troubleshooting, CI/CD pipeline setup, and Git workflows.
  • Integration: Proven record of delivering data-intensive platforms and external-facing APIs.
  • Languages: Professional fluency in English (team operations) and Dutch (stakeholder collaboration).

Preferred Skills:

  • Big Data: Experience with Databricks.
  • Asynchronous Processing: Familiarity with Celery, RabbitMQ, or Redis.
  • System Resilience: Background supporting high-availability or mission-critical enterprise environments.

Referente

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