


- Participation or leading the delivery of Data engineering projects (e.g. designing the architecture of solutions, data flows, organizing a technical team, evaluating delivery model, rapidly prototyping, and building to scale).
- Driving the maturation of Data engineering and AI platforms, modules, and services that address cross-enterprise opportunities.
- Engaging and evaluating external partners (research, data engineering & ML/AI software vendors) as part of executing on project opportunities.
- Providing technical advice and leadership to Airbus stakeholders across specific data engineering domains (e.g. knowledge extraction, computer vision, advanced optimization, conversational assistance, anomaly detection). Sharing knowledge, contribute to driving change within the digital network, presentations and communications within the digital community, dissemination of best practices (patterns), etc
- Programming skills in a rapid prototyping environment - ability to quickly prototype ideas, iterate, and creatively design solutions in response to business opportunities
- Completed studies in computer science
- Experienced in working with Apache Hadoop tool-chain (e.g. Druid, Spark, Kafka, NiFi, airflow)
- First experience in Cloud infrastructure (kubernetes, openshift, docker and commercial platforms AWS, googlecloud, Azura)
- First experience in ML tools packages like Torch, TensorFlow, scikit-learn and other open source frameworks
- High official wages
- Annual employee events
- Annual special payments
- Possibility to gain work experience abroad
- You will work in an international environment
- Our client is a very successful company which offers not only an excellent market position, but also an exciting and dynamic working environment with flat hierarchies.
- Annual special payments
- Benefits of a permanent employment: flexitime account and overtime compensation, company pension scheme.
My contact person
Deniz Rübartsch
Reference number
560011/1
Contact
E-Mail:
deniz.ruebartsch@hays.de