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Employment Type: Permanent------- Experience Level:
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Design, implement and deploy data integration pipelines between multiple sources
Run UAT and deployment activities for new data integrations
Support migration of existing pipelines to an API-based microservices architecture
Analyse data integration platform performance to keep SLAs met
Build data quality checks and automated alerts into pipelines
take responsibility for the data integration pipelines design, implementation and deployment
Responsible of UATs and Deployment activities associated to new data integrations
Support on migration of the existing data pipelines into the new microservices architecture API-based
Support Data Integration Platform performance analysis in order to guarantee the existing SLA
Data Quality checks of the implemented pipelines and automated alerts mechanisms
Over 5 years of hands-on experience in building/developing data pipelines with Enterprise Data Integration Platforms
University degree in IT related field
English and Spanish negotiation level is required
Existing Security Clearance or eligibility to obtain one would be mandatory
API based services technologies experience is mandatory
Actively hiringFirst seen by us 12 days ago, still listed, and not a repost of an earlier posting.
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Day 12
Similar jobs usually come down between day 6 and day 54.
From 10,764 similar postings that came down. Coming down is not always a hire.
40 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- 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
- 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
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We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job Description:
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 SAUEmployment Type:
Permanent-------
Experience Level:
ProfessionalJob Family:
Digital <JF-IM-DI>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 emsom@airbus.com.
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.
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Getafe Area
Working pattern and location restrictions need checking in the full posting.
- 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