Job overview

Our Data Engineering team plays a critical role in this mission, transforming raw data into high-quality, reliable assets for reporting, analytics, and advanced data products. You’ll be part of a collaborative team of Data Engineers, and supported by a dedicated Data Architect and Program Manager for alignment across tech and business.

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

What you'll need

• 5+ years of experience in data engineering, with 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 and experience using Spark in production environments
• Experience with cloud-native architectures, especially Azure Cloud Platform and Databricks
• Familiarity with streaming data frameworks (Kafka, Event Hubs, or similar)
• Solid grasp of data modeling concepts, especially in the context of analytics and reporting (conceptual/logical/physical models).
• Languages & Frameworks: Scala, Python, SQL, Spark
• Cloud & Infra: Azure Cloud Platform, Databricks, Azure DevOps/GitHub, Terraform

What you'll bring

• Communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders
• Strong collaboration mindset to work effectively with cross-functional teams including data science, engineering, and business units
• High attention to detail with a strong focus on data quality, accuracy, and reliability
• Skilled in stakeholder management, capable of balancing business needs with technical feasibility
• Self-starter with strong organizational skills and the ability to drive initiatives from concept to completion

Inclusivity

All genders welcome

Workplace type

At Eurowings Holidays, we operate a hybrid working model that combines remote work flexibility with in-office collaboration to support both productivity and team connection.

Apply now!

Please submit the latest version of your resume in English.