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Data Engineer for VCR data & AI team

30+ days ago 2025/06/29
Other Business Support Services
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Job Description

Job Description:


Job Description - Data Engineer for VCR data & AI team


Job Description:


A vacancy for a Data Engineer in Corporate Cyber Security has arisen within Airbus in India.


Are you interested in working with leading experts to protect Airbus against an ever evolving cyber threat and be part of the corporate digital security office combining IT, industrial manufacturing, product, and people security?


Are you willing to work in a multicultural environment, with a significant scale, and on a worldwide perimeter? Are you ready to take on a new and exciting challenge?


Then apply for Airbus and become part of the corporate Data & AI VCR team.


Job Expectation:


A data engineer is part of the team in charge of organizing data E2E architecture within the VCR  Cyber Risk Watchtower product . They will utilize their technical expertise to ensure data is accurate and high-quality end-to-End. Data is then analyzed, designed, and presented in a way that assists individuals, departments, and organizations make better decisions.


Key Responsibilities:


Designing, Implementing and maintaining data pipelines (develop, construct, test and maintain scalable data pipelines for collecting, transforming and storing data from various sources 


Designing, implementing and maintaining data exposure layer such as dashboards or API


Designing, implementing and maintaining data processing to enrich data


Designing, implementing and maintaining various types of modelisation such as Ontology, RDBMS, BI


Monitoring and troubleshooting product components such as database, ETL, security


Ensure data security and compliance


Essential General:


Conducting data ingestion, computation and consumption operation for both build and run


Willingness to learn new data approaches such as Knowledge Graph, Data Mesh etc.


Client facing, able to confidently and professionally represent the company


Must be self-motivated and able to work in an independent manner as well as part of a team


Excellent written and oral communications skills


Positive, collaborative and enthusiastic


Qualification & Experience


Detail oriented, organized, methodical, follow-up skills with an analytical thought process.


Willingness to learn new data approach such as Knowledge Graph, Data Mesh


Knowledge of DevOps


Knowledge of graph database


Experience writing scripts in PowerShell, Ruby, Java, Python, BASH is a must


Experience with SQL. Nice to have : SPARQL, SHACL


Experience in business intelligence tools such as : Qliksense, Tableau.


Masters/Degree in Information Systems, Computer Science or a related field is required.


Minimum 3-4 years experience in data engineering from data ingestion to data consumption : ETL, data processing, data cleaning, data modeling, data visualization, API exposure.


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 India Private Limited

Employment Type:


Permanent

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Experience Level:


Professional

Job Family:


Technical Data & Publications <JF-CS-TD>

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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