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Senior Data Integration Engineer - Airbus Defence and Space

Skills

acceptance criteriaagileanalyticsapidata analyticsdata pipelinesdevopseltetlexpressflaskjavascriptjsonnosqlpythonxml

Description

Overview
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In this role you will design, implement and deploy data integration pipelines across diverse sources within Airbus Defence and Space. You will collaborate with a cross-functional team to ensure end-to-end data flows and reliable platform performance. You will influence integration architecture and deliver repeatable, scalable solutions that support digital projects. This is a hands-on, impact-driven position at the heart of data integration in a complex, multi-stakeholder environment.

Compensaciones / Beneficios
  • vacation days and additional time off
  • hybrid working model
  • salary and compensation package
  • health insurance
  • employee stock options
  • study grants
Responsabilidades
  • Design, implement and deploy data integration solutions within Data Integration products for Digital projects
  • Define integration tasks for new Use Cases and needs raised by Product Owner
  • Lead UATs and deployment activities in close alignment with the Operations Manager
  • Support Data Integration Platform performance analysis to meet SLA
  • Maintain up-to-date information flows and data transport roadmaps
  • Produce Configuration Management documentation and UAT deliverables aligned with Project Manager
  • Create deployment plans and define acceptance criteria
  • Provide architectural and integration technical advice per project scope
Requisitos principales
  • Over 5 years of relevant experience as a Data Integration Engineer
  • Hands-on experience in building ESB and/or ETL/ELT solutions for large-scale data pipelines (on-premises)
  • Experience with data from CSV, JSON, XML, relational databases
  • Strong programming experience in data integration languages (Python, Flask, Node, JavaScript, Express) xkdbapo
  • Experience in technical and support documentation, translating business requirements into models
  • Proficiency with both relational and NoSQL databases
  • API-based services knowledge; DevOps methods/tools knowledge a plus
  • IT project management knowledge
  • Basic IT Service Management knowledge
  • Basic knowledge of Data Analytics
  • Experience with Agile methodologies
  • English and French negotiation level
  • Strong collaboration and communication
  • Analytical mindset
  • Problem-solving orientation
  • Python
  • Flask
  • Node

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