Arbeitgeber: Deutsche Lufthansa AG

What you'll do

- Design, build, and maintain reliable and scalable data pipelines to support analytics, reporting, and future ML use cases
- Contribute to our modern cloud-based data platform in Azure and Databricks
- Collaborate closely with Data Analysts and Data Scientists to co-create data products
- Support and contribute to our internal data platform alongside our Data Platform Engineer
- Continuously improve data quality, documentation, and performance
- Champion best practices in DataOps: CI/CD, monitoring, alerting, testing, and infrastructure-as-code


Ihr Profil:

What you'll need

- 7+ years of experience in data engineering, ideally with some hands-on exposure to analytics engineering practices (e.g., data modeling, transformation logic)
- Deep understanding of data pipeline orchestration, distributed processing, and building resilient, testable ETL/ELT systems


- Expertise in Scala or Python with strong SQL skills and experience using Spark in production environments
- Experience with cloud-native architectures
- Familiarity with streaming data frameworks
- Solid grasp of data modeling concepts
- Languages & Frameworks: Scala, Python, SQL, Spark
- Cloud & Infra: Azure Cloud Platform, Databricks, Kafka, Azure DevOps/GitHub, Terraform


What you'll bring

- Strong collaboration mindset working with cross-functional teams
- High attention to detail with a strong focus on data quality, accuracy and reliability
- Exceptional stakeholder management
- Self-starter with strong organizational skills


We believe in fair and transparent pay. For this position, the annual salary starts at a minimum of €70,000 and depends on your qualifications, experience, and level of responsibility.