Digital Data Engineer

Airbus Defence and Space; Getafe; Presencial; EUR 55.000 - 75.000; Jornada completa

Descripción de la vacante

Airbus Defence and Space in Getafe is seeking a Data Engineer to design, implement and deploy data integration pipelines across diverse data sources. You will work within the TDDT Data Integration team under Data Management & AI, ensuring end-to-end accountability for solution deployments.

You will contribute to data flows, quality checks, and the microservices/API-based architecture while supporting AI adoption and interoperability initiatives. Collaboration across teams is required.

Formación

• University degree in IT related field is required.
• English and Spanish negotiation level is required.
• Strong collaboration and communication skills are essential.
• Existing Security Clearance or eligibility to obtain one would be mandatory.
• Over 5 years of relevant work experience as a Data Engineer with focus on Data Integration.
• Over 5 years of hands-on experience in building data pipelines with Enterprise Data Integration Platforms.
• Experience handling data from csv, json, xml, relational databases.
• 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.
• Experience with DevOps methods/tools (2-3 years).
• IT project management knowledge and basic IT Service Management knowledge.
• Basic knowledge about Data Analytics and AI principles/techniques.

Responsabilidades

• Responsible for integration activities including design, implementation and deployment inside data integration products.
• Define integration tasks for new development and for needs raised by Product Owner.
• UATs and Deployment activities for new data integrations in alignment with Operations Manager.
• Support Data Integration Platform performance analysis to meet SLAs.
• Assist migration of existing data pipelines to new microservices architecture/API-based.
• Support AI adoption initiatives to enable interoperability layer.
• Assist data modeling aligned with Data Foundations and Semantic layer.

Conocimientos

Data Integration

ETL/ELT

APIs

Python

SQL

NoSQL

DevOps

Microservices

EDA

JavaScript

Educación

University degree in IT related field

Herramientas

Flask

Node.js

Express

Descripción del empleo

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

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

By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.

Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to [e-mail] .

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.

#YESPOST