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Airbus Group

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Lead Data Engineer PLM (d/w/m)

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Summary

Lead data engineer at Airbus in Augsburg who acts as the technical orchestrator of the PLM Datamesh: driving the transition from relational databases to Skywise (Palantir), building data products with Palantir Foundry, Collate and Kafka, and automating Python pipelines via Jenkins while leading developers and liaising with business stakeholders.

Overview

Lead the evolution of the PLM data landscape as the core technical orchestrator of the Datamesh. Drive architectural transitions, data product creation, and cross-functional delivery to ensure compliant, high-availability data across enterprise platforms. Work with a diverse, multinational team to translate business strategy into scalable data solutions. Shape PLM data models and pipelines while partnering with stakeholders and external partners. Be at the forefront of data-driven transformation in aerospace.

Leistungen / Benefits
  • Fair compensation & extras
  • 30 days of annual leave
  • flexible working hours
  • mobile working and part-time options
  • sabbatical opportunities
  • on-site company doctor and health programs
Verantwortungsbereiche
  • Lead architecture and data product engineering for PLM data products, transitioning from relational databases to Skywise (Palantir) with a focus on compliance and refinement
  • Create and manage scalable data products using Palantir Foundry, Collate, and Kafka-based streaming
  • Maintain and optimize automated Python data pipelines and reports via Jenkins
  • Act as a business liaison to gather requirements, specify technical details, and assess feasibility
  • Provide technical leadership to developers on PLM schemas, datamesh architecture, and data modeling decisions
  • Coordinate with external partners, ensure adherence to standards, and secure timely delivery
Zentrale Anforderungen
  • Experience as Lead Developer, Data Architect, or Technical Product Owner in a complex data environment (PLM data model experience highly preferred)
  • Deep knowledge of data modeling, data flow architecture, and automated pipelines
  • Experience in an IT Scrum environment
  • Strong communication skills translating technical concepts to business terms and vice versa
  • Adaptability to evolving architectures and technologies
  • Fluency in English; German is a plus
  • clear communication
  • adaptability
  • continuous learning
  • Palantir Foundry
  • Skywise
  • Datamesh

Skills

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See also

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