Data Engineer

Bookboost is seeking a Data Engineer in Munich to design and build the scalable data infrastructure required to handle growing volumes of guest data. The role involves creating pipelines for ingestion, transformation, and storage that support both frontend applications and machine learning systems. You will work closely with product and engineering teams to develop reusable data resources, orchestration tools, and streaming capabilities. This position offers significant ownership over the platform's architecture 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 essential, with specific proficiency in distributed data processing using AWS and PySpark. The job requires robust quantitative abilities to manage data at scale. The advert does not specify any language requirements or details regarding office, hybrid, or remote working arrangements. This opportunity is well-suited for professionals who prefer shaping the foundational data systems of a product over handling narrow, isolated tickets. It is ideal for those looking to apply their expertise to unique hospitality industry use cases involving analytics and AI.