Data Engineer

Bookboost is seeking a Data Engineer in Munich to build and maintain the data infrastructure supporting its hospitality engagement platform. The role involves designing scalable pipelines for ingesting, transforming, and storing large volumes of guest data, ensuring it is accessible for frontend applications and machine learning models. You will work closely with product and engineering teams to create reusable data resources, orchestration tools, and streaming pipelines that support analytics and recommendation systems. This position offers significant ownership over the platform's design rather than simply executing predefined tasks. Candidates need at least four years of industry experience with a history of owning production systems. Strong engineering skills are required, with specific proficiency in distributed data processing using AWS and PySpark. The job demands robust quantitative abilities to handle data scaling from hundreds of gigabytes to terabytes. The advert does not specify language requirements or detailed working arrangements such as remote or hybrid options. This opportunity is ideal for engineers who prefer shaping foundational data architecture over handling narrow, isolated tickets. It suits professionals looking to apply their skills to unique hospitality use cases involving both analytics and artificial intelligence.