DataOps & Integration Lead — Hybrid & Upskilling

Airbus SE; Sevilla; On-site; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Hybrid work model when possible

Health insurance

Canteen and on-site facilities

Employee stock options and retirement

Job summary

Airbus Defence and Space SAU is seeking a Digital Operation Manager for the Data Integration team in Getafe, Spain. You will guarantee delivery of data integration services, monitor health, manage patches and security, and coordinate external providers.

You will lead incident reviews, ensure data quality improvements, and drive ongoing modernization of data pipelines using Docker, Kubernetes, and CI/CD practices.

Qualifications

• University degree in IT related field such as Computer Science, Data Science or similar.
• Experience with ITILv4, Data Integration platforms and security best practices.

Responsibilities

• Monitor service health and ensure incident management with SLAs.
• Lead RCA for problems within Data Integration perimeters.
• Manage patching and security documentation validated by architects.
• Coordinate license and certificate renewals for Data Integration platforms.
• Serve as primary point of contact with external service providers.
• Collaborate with data engineers and solution architects to improve pipelines.

Skills

ITILv4 practices

DataOps

Docker

Kubernetes

DevOps

CI/CD

Data Integration

Windows

Linux

Cloud architecture (On Prem)

Data governance

Data lineage

SQL & NoSQL

Microsoft technologies

Problem solving

Security awareness

Education

University degree in IT related field (CS, Data Science or similar)

Tools

GitHub

GitLab

Jenkins

Job description

Airbus Defence and Space SAU is seeking a Digital Operation Manager for the Data Integration team in Getafe, Spain. You will guarantee delivery of data integration services, monitor health, manage patches and security, and coordinate external providers.

You will lead incident reviews, ensure data quality improvements, and drive ongoing modernization of data pipelines using Docker, Kubernetes, and CI/CD practices.