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 standardized “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) We are an equal opportunity employer and value diversity at our Company Eurowings Digital Benefits We value your performance and offer you plenty of advantages 🎊 Fly with friends and family around the world by using the entire Lufthansa and partner network Discover the world within 30 vacation days a year + two days off for Christmas and New Year's Eve Get discounts across a large range of brands (e.g. Telekom, Zalando, Apple, Sixt, Bosch…) With "Joblunch" from Belonio, Eurowings Digital finances up to 2 EUR of your lunch on working days! Drive your career growth 🎓 Evolve professionally in our agile environment by taking part in challenging projects with cutting edge technologies and a lot of personal responsibility Shape your career growth through regular discussions with your Team Lead and 360° feedbacks from your colleagues Work in a cross functional team where you gain/share knowledge every day and on regular talks like “Peer School” or “Ask the Expert” Every year you will get a training budget for meetups, conferences, trainings, coaching You can improve your (German) language skills through our online courses With your Linkedin Learning account you access plenty of additional trainings and courses We bring a unique environment, where we make it happen 🙌 We love dogs! Feels free to bring your doggo to the office :) They can "work" from our separate dog office Get excited and challenge your colleagues while playing with our Playstation 5 or kickertable Participate directly in the creation of our product that helps millions of customers create amazing travel memories Feel at home in our (English speaking) international & diverse team Take part in our regular team events where we celebrate all together e.g. major successes, Carnival or the end of the year! Feel our unique atmosphere: a start-up spirit integrated in a big company With our trust-based working hours, you can start and finish at a time that suits you for a harmonized work-life balance Our hybrid working model gives you the flexibility to keep close connections with your teammates at our offices (e.g. through onsite events), while also having the possibility to work from home Relocation package and personalized support (e.g. for Visa or Work Permit) will be offered for you and your family if needed #Trust&Commitment #Customer #Data-Driven #Performance #Do-it : join us and live our values. This already resulted in specific actions like: Fuckup nights, guided tours at the airport or strategy sprints!
Job Type
Remote role
Skills required
Azure, CI/CD, Python, Agile
Location
Cologne
Salary
No salary information was found.
Date Posted
June 3, 2025
Eurowings Digital is seeking a Senior Data Engineer to design and maintain scalable data pipelines in a remote-first setup within Germany. The role involves collaboration with data analysts and scientists to enhance data quality and support analytics.