Airbus designs, manufactures and supports commercial aircraft, helicopters, defence systems and space solutions for civilian and institutional use.
Digital Data Engineer
Within Airbus Defence & Space’s Data Integration team in Getafe, the Data Engineer designs, deploys and maintains data integration pipelines from varied sources. The role includes contributing to data quality, testing and deployments, as well as migration to a microservices architecture. The position requires over five years of data engineering experience and negotiation-level English and Spanish.
Information about Airbus
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- airbus.com
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- 2066
Job details
The full description published by Airbus.
Description de l'emploi : A position for a Data Engineer has just arised within Airbus Defence & Space in Getafe. The successful candidate will join TDDT Data Integration team which is part of AD&S Data Management & AI. As a Data Engineer you will take responsibility for the data integration pipelines design, implementation and deployment, between multiple data sources including Business Systems, Engineering Systems, Machines, Drones, etc. using our transversal and transnational Integration Platforms/Products.
The successful candidate will work alongside a multi-disciplinary team of experts working in classical and agile project management methodologies. Depending on the projects the applicant will have an end-to-end accountability for the solution implementation and provide the necessary inputs to his/her colleagues to guarantee the best in class service after deployment phase. You will make the data fly inside Airbus Defence & Space and also from and to outside partners, customers or governments! Main tasks :
- Responsible of the integration activities, including design, implementation and deployment, inside data integration products to accomplish requests from the Digital projects
- Responsible to define the integration tasks associated to new development related to new Use Cases or needs raised by associated Product Owner
- Responsible of UATs and Deployment activities associated to new data integrations in close alignment with Operation Manager of associated data integration product
- Support Data Integration Platform performance analysis in order to guarantee the existing SLA
- Support on migration of the existing data pipelines into the new microservices architecture API-based
- Support to AI Adoption acceleration initiatives in order to leverage the new interoperability layer that will support Agentic AI approach at company level
- Support Data modelling activities in line with the Data Foundations and Semantic layer defined by Data owners Outputs :
- Information Flows up to date with the new data flows developed and deployed
- Data Integration Platform SLR up to date
- Configuration Mgt documentation
- UATs deliverables in alignment with Project Manager
- Deployment plan and associated acceptance criteria per data flows
- Data Integration technologies metrics
- Technical advice on architecture and integrations related to project tasks in his/her perimeter or responsibility
- Physical data models in corresponding Data Integration platforms for associated data UCs
- Data Quality checks of the implemented pipelines and automated alerts mechanisms Skills & Competencies :
- University degree in IT related field
- English and Spanish negotiation level is required
- Strong collaboration and communication skills
- Existing Security Clearance or eligibility to obtain one would be mandatory
- Over 5 years of relevant work experience as a Data Engineer with key focus on Data Integration aspects, including Data Quality checks
- Over 5 years of hands-on experience in building/developing data pipelines with Enterprise Data Integration Platforms (middlewares, ETL, ELT, API platforms …)
- solutions/integrations for large scale data pipelines (on-premises)
- Experience in handling data from a variety of sources like csv, json, xml, relational databases and so on
- Deep experience in programming languages related to data integration (Python, Flask, Node, JavaScript, Express …)
- Experience in developing technical and support documentation, translate business requirements and needs into reporting and models
- Proficiency in querying and managing both relational and NoSQL databases
- API based services technologies experience is mandatory
- Understanding of microservices and EDA approaches, preferably OnPrem, would be mandatory
- Knowledge on DevOps methods and tools (at least 2-3 years of experience required)
- IT project management knowledge
- Basic experience in IT Service Management principles
- Basic knowledge about Data Analytics and AI principles/techniques Cet emploi exige une connaissance des risques de conformité potentiels et un engagement à agir avec intégrité, comme base de la réussite, de la réputation et de la croissance durable de la société. Unité légale : Airbus Defence and Space SAU Type de contrat : CDI ------- Niveau d'expérience : Expérimenté(e) Famille d'emplois : Digital En soumettant votre CV ou votre candidature, vous autorisez Airbus à utiliser et stocker des informations vous concernant à des fins de suivi de votre candidature ou de futurs emplois. Ces informations ne seront utilisées que par Airbus. Airbus s'engage à assurer la diversité de sa main-d'œuvre et à créer un environnement de travail inclusif. Nous accueillons toutes les candidatures, quels que soient le milieu social et culturel, l'âge, le genre, l'invalidité, l'orientation sexuelle ou les croyances religieuses des postulants. Airbus est depuis toujours attaché à l'égalité des chances pour tous. En tant que tel, nous ne demanderons jamais aucun type d’avance de frais dans le cadre d'un processus de recrutement. Toute usurpation d'identité d'Airbus à cette fin doit être signalée à [email protected] . Chez Airbus, nous vous aidons à travailler, à vous connecter et à collaborer plus facilement et de manière plus flexible. Dans la mesure du possible, nous favorisons les modalités de travail flexibles pour stimuler la pensée innovante.
Requirements
- University degree in an IT-related field
- Over 5 years of relevant work experience as a Data Engineer
- English and Spanish at negotiation level
- Existing security clearance or eligibility to obtain one
- Over 5 years of hands-on experience building or developing data pipelines
- Experience with data integration platforms
- Experience handling data from varied sources
- Experience with data integration programming languages
- Experience developing technical and support documentation
- Proficiency in querying and managing relational and NoSQL databases
- Experience with API-based services technologies
- Understanding of microservices and EDA approaches
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