Data Engineer (all genders)

Behind the scenes

Meet the Eurowings Digital Team!

We are dreamers, doers, and enthusiasts!

Meet the Eurowings Digital Team!

We are dreamers, doers, and enthusiasts!

Requirements

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.

About Eurowings Digital GmbH

We want to unfold the world to our customers. Eurowings Digitals mission is to deliver the most convenient and affordable end2end travel experience by connecting the physical and digital world. While our customers enjoy their journey, we take charge of a carefree travel experience. Not only offering quality flights for affordable prices, but being a travel companion all along the way. From their first inspiration to their favorite travel memories. Therefore we launched a whole new company which puts their customer into their total focus. Together we are going to discover, develop and test new products along the whole customer journey, on- and offline. In agile and diverse teams we will revolutionize the way of travelling.

Learn more

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Source: Statistisches Bundesamt (Destatis), table; dl-de/by-2-0; StarIn's calculation