Senior Data Engineer (all genders)- Remote first set up (within Germany) - #2172260

We are dreamers, doers, and enthusiasts....!

Our mission is to enable our customers on leisure and/or business travel to enjoy a seamless travel booking experience from the tip of their fingers. Therefore, we are continuously working passionately on providing diverse and attractive offers on our online booking platforms Eurowings & Eurowings Holidays and mobile Apps to empower our customers with relevant information and smart digital services throughout their travel experience.

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:

• 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, 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, Kafka, Azure DevOps/GitHub, Terraform

What you’ll bring:

• Excellent 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.

Remote first set up (within Germany): We believe in a hybrid working model with a remote-first approach. This means that our company is optimized for work to be done remotely no matter where you are living in Germany. We believe in flexibility and trusted working times, so there is no standardised “quota” for on-site presence in the office. On average, our employees that lives all across Germany comes to our Cologne office 1-2 times per month for team bonding and/or selected events (i.e. for onboarding, team/company events/workshops)