Digital Data Engineer

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

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

Company: Airbus Defence and Space SAU

Employment Type: Permanent

Experience Level: Professional

Job Family: Digital

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.