Digital Data Engineer

About the role

A permanent Data Engineer position has opened at Airbus Defence & Space in Getafe, within the TDDT Data Integration team of the AD&S Data Management & AI division. You will design, implement and deploy data integration pipelines between Business Systems, Engineering Systems, machines, drones and other sources, using Airbus' integration platforms, and work alongside a multi-disciplinary team in classical and agile project management.

Key responsibilities

• Own integration activities: design, implementation and deployment of data integration solutions for digital projects
• Define integration tasks for new use cases raised by the Product Owner
• Run UATs and deployments in close alignment with the Operation Manager
• Analyse platform performance to maintain SLAs and support migration of pipelines to a microservices, API-based architecture
• Support AI adoption initiatives and data modelling aligned with the semantic layer
• Deliver outputs such as data flow documentation, configuration management docs, deployment plans, metrics and data quality checks with automated alerts

Required profile

• University degree in an IT-related field
• Over 5 years of experience as a Data Engineer focused on data integration and data quality checks
• Over 5 years of hands-on experience building data pipelines with enterprise integration platforms (ETL, ELT, API platforms)
• Experience with CSV, JSON, XML, relational databases and large-scale on-premises pipelines
• Security clearance or eligibility to obtain one is mandatory
• English and Spanish at negotiation level

Required skills

• Programming for data integration (Python, Flask, Node, JavaScript, Express)
• Relational and NoSQL database querying and management
• API-based services and microservices, preferably on-premise
• DevOps methods and tools (at least 2-3 years)
• IT project management, basic IT service management and data analytics/AI basics