We are recruiting a Data Engineer to join our Operations & Analytics team and help drive a data-first culture across M. As a Data Engineer, your mission is to transform data into a useful format for analysis so that together with our Data Scientists and Backend Developers we get a deep understanding of our customers, products, operations, our cars and the hardware. Your engagement here will include but won't be limited to:You will evaluate, develop, test and maintain data capture, storage and processing systems (databases, pipelines and large-scale processing systems). By working proactively with data quality and reliability, you will ensure that the architecture that is in place supports the requirements of the data scientists, any stakeholders and the business as a whole. You will employ languages and tools to marry systems together or try to hunt down opportunities to acquire new data from other systems so that the system-specific codes, for example, can become information in further processing by data scientists. You will develop the tools and processes around modelling, mining, and understanding a model's behaviour in production. You show experience with most of the following…Experience in developing and maintaining production-ready software for data processing pipelines in a distributed environmentExperience in Extract, Transform, and Load (ETL) developmentExperience with development in Java, Kotlin or similar backend languageComfortable user of SQL and PythonExtra awesome if you have...Experience from architecting distributed systems and data stores in cloud environmentsBeen using AirFlow, DataFlow/Apache Flink/BEAM, Kubernetes or similar toolsBeen integrating multiple data sources into a single systemDoes it sound interesting? Then we are looking forward to your application in English!Furthermore, we at M believe that a diverse and equal working environment is essential for the well-being and development of our co-workers. We constantly strive for a well-balanced representation of gender and ethnic identities at every level of the organization. In this way, we hope to create an open-minded, smart and enjoyable workplace.