> Markdown version of [/jobs/ext/2662781-data-engineer-passenger-flow-platform-services-260901-jas-001](https://www.wearedevelopers.com/jobs/ext/2662781-data-engineer-passenger-flow-platform-services-260901-jas-001). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

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

- **Company:** ITproposal BV
- **Location:** Wilrijk (Antwerpen), Belgium
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Automation of Tests, Microsoft Azure, Big Data, Cloud Computing, Databases, Continuous Integration, Database Queries, DevOps, PostgreSQL, Machine Learning, SQL Azure, OpenShift, RabbitMQ, Redis, Software Engineering, Systems Integration, System Availability, Reliability of Systems, Backend, Git Flow, Core Data, Kubernetes, Celery, Restful APIs, Data Pipelines, Databricks
- **Published:** September 2, 2026
- **Apply:** https://europa.eu/eures/portal/jv-se/jv-details/YTdiMTY5MGYtY2YyOS00YWEyLThlNzQtOWRmYmI0YzU0MTU5IDM?lang=en

## About the Role

+ 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.

## Description

* 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.


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