20 days ago
Getafe, Spain or Sevilla, SpainSenior
Responsibilities
- Design, implement, and deploy data integration activities within integration products for digital projects.
- Define integration tasks for new use cases and requirements raised by product owners.
- Coordinate user acceptance testing and deployment activities with the relevant operations manager.
- Analyze data integration platform performance to help maintain service-level agreements.
- Support migration of existing data pipelines to API-based microservices architecture.
- Support AI adoption and interoperability-layer initiatives, including an agentic AI approach.
- Support data modeling aligned with data foundations and semantic layers.
- Maintain information flows, platform service-level reporting, configuration management documentation, UAT deliverables, deployment plans, acceptance criteria, technical metrics, physical data models, data quality checks, and automated alert mechanisms.
- Provide technical advice on architecture and integrations for assigned project tasks.
Requirements
- University degree in an IT-related field.
- More than five years of relevant data engineering experience focused on data integration and data quality checks.
- More than five years of hands-on experience building and developing large-scale data pipelines with enterprise data integration platforms, including on-premises solutions, middleware, ETL, ELT, and API platforms.
- Experience handling CSV, JSON, XML, relational database, and other varied data sources.
- Deep experience with programming technologies related to data integration, including Python, Flask, Node, JavaScript, and Express.
- Experience producing technical and support documentation and translating business requirements into reporting and data models.
- Proficiency querying and managing relational and NoSQL databases.
- Mandatory experience with API-based service technologies.
- Mandatory understanding of microservices and event-driven architecture, preferably in on-premises environments.
- At least two to three years of experience with DevOps methods and tools.
- Knowledge of IT project management and basic IT service management principles.
- Basic knowledge of data analytics and AI principles and techniques.
- English and Spanish negotiation-level proficiency.
- Strong collaboration and communication skills.
- Existing security clearance or eligibility to obtain one.
Benefits
- Permanent employment with Airbus Defence and Space.
- Flexible working arrangements are supported wherever possible to enable easier collaboration.
- The role is based in Getafe.
Tech Stack
Categories
Data Engineering