Job
In this role, you develop ETL/ELT pipelines, maintain data structures, and ensure data quality through extensive monitoring to lay the foundation for ML and analytics projects.
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Your role in the team
- As a (Senior) Data Engineer, you are the key enabler for our entire development team. You build our data platform and ETL/ELT pipelines — from data modeling to the Data Catalog — ensuring that data is reliable, well-documented, and accessible to all teams. Your work enables us to transform raw data into trustworthy Data Products that form the foundation for our AI models and analytics.
- As a (Senior) Data Engineer, you are responsible for (the architecture and) building the data platform that supplies our AI applications with data.
- Data Modeling & Architecture: Design and maintenance of our data structures (Bronze/Silver/Gold) in the Lakehouse architecture (Senior Level: Setting standards for data modeling and architecture).
- ETL/ELT & Data Products: Building and operating robust pipelines (e.g., with Apache Airflow, Spark, Trino) as well as deploying and maintaining reusable Data Products for ML and Analytics teams.
- Metastore, Data Catalog & Governance: Maintenance of our Data Metastore as well as ensuring Data Lineage, Data Quality, Data Contracts, and Traceability (e.g., with OpenMetadata).
- Data access, dashboarding & analysis: Management of table access as well as provision of dashboards and data queries (e.g., Superset, SQL, Python).
- Monitoring & Alerting: Proactive monitoring of our transformation pipelines and handling of alerts to ensure data quality and availability.
- Mentoring & Technical Leadership (Senior Level): You promote other engineers regarding best practices in Data Engineering, establish technical standards, and provide professional guidance to the team. As a Senior Engineer, you are responsible for the architectural foundation of our data platform, but you never lose sight of practical implementation: you bridge the gap between strategic design and passionate hands-on pipeline work within the team.
Our expectations of you
Education
- A degree in Computer Science, Data Engineering, or a related field (ideally with a Master's or PhD for the senior position).
Qualifications
- A strong 'Data-as-a-Product' mentality, combined with an unwavering commitment to data quality, accessibility, and traceability.
- Fluent in German and English.
Experience
- Extensive (Senior Level: proven, several years of) experience as a Data Engineer or in a comparable role.
- In-depth (Senior Level: comprehensive, authoritative) knowledge of data platform tools such as Apache Airflow, Spark, and Trino, as well as experience with Lakehouse architectures (Delta Lake, Iceberg, Hive Metastore, Polaris).
- Solid knowledge (Senior Level: Expert level) in SQL and Python, as well as experience with Data Catalog / Governance tools (e.g., OpenMetadata) and BI tools (e.g., Superset).
- Senior level: Experience in mentoring colleagues and establishing best practices within a data engineering culture.
What we offer
- The unique opportunity to shape the future of autonomous systems at a globally leading aerospace company.
- An inspiring work environment that combines the innovative spirit of a startup with the expertise of an established technology hub.
- A team of brilliant minds working together on a grand vision for Europe's technological sovereignty.
- An attractive salary, flexible working hours, and excellent opportunities for professional development within the Airbus Group.
Benefits
Work-Life-Integration
Health, fitness & fun
Food & drink
Higher take-home pay
Topics you will work on
Job locations
About your employer
Airbus is the world's leading provider of air and space transportation, as well as related services.
- English
- Established Company
- Onsite, Hybrid, Full Remote
- Vehicle Manufacturing, Supplier · Industry, Production
Employer reviews
- Career growth
- 3.2
- Engineering
- 2.9
- Working conditions
- 4.0
- Team culture
- 3.5
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