Level
Senior
Location
Backnang
Working Model
Onsite
Job Field
Data, Back End
Employment Type
Full Time
Contract Type
Permanent employment

Job Summary

In this role, you develop the data platform and ETL/ELT pipelines, create data structures, perform monitoring, and enhance data quality for AI projects and analytics.

Job Technologies

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 analyses.
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 application: you bridge the gap between strategic design and passionate hands-on pipeline work within the team.

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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 in a data engineering culture.

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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.