Digital Data Engineer

Location: Getafe Area, Sevilla Area

Time Type: Full time

Job Description

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 SAU

Employment Type:

Permanent

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Experience Level:

Professional

Job Family:

Digital

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