For our team in Berlin we are looking for a Senior Data Engineer (d/f/m) for our Communications team.Our mission is to enable our customers to do the mobility changes that they need (buying and selling of vehicles, including concerns on the way like financing and insuring a car) completely online, and to enable the more than 40.000 car dealers in Germany who are our partners to compete in this increasingly digitized market by providing them top-in-class tools and processes. This specific role is for the Communication team, responsible for the written communication in mobile.de.This agile and cross-functional team is equipped with software developers, UX specialists, product owners, analysts and business developers so that it can holistically own and grow this business and develop a product that serves our users' needs excellently. We are looking for a person who has the technical skills to own data engineering, has a strong business focus and loves to work with passionate and engaged people in one of the world's leading automotive platforms. Are you this person?What you'll doOwn all relevant communication data flows into and out of our data lake / data mesh infrastructures and suggest/drive how data can enable better products and grow our businessYou design, implement, schedule and supervise ETL/ELT pipelines into our data lake and data warehouse while following software engineering best practicesYou are involved in the creation and definition of reports and dashboards to create transparency into current business processesYou craft clean, accurate, integrated, automatically tested, well-documented, and efficient datasets with a high usability for analysts and business usersYou collaborate with analysts, data engineers, data scientists and product managers across mobile.de and serve as a point of contact for questions regarding the datasets of your business unit and you feel responsible for data quality and proactively tackle issuesDevelop and maintain backend solutions for customer-facing and internal applications and contribute to the team's work with clean, maintainable and testable code, participate and lead design and code reviewsWho you areYou have a degree in data engineering, data science, (business) computer science or comparable working experienceYou have 4+ years hands-on experience using big data technologies in cloud environments, such as Amazon Web Services or Google Cloud PlatformYou are familiar with building data integration pipelines and commonly used data technologies like dbt, Airbyte, Airflow, Kafka, Spark or BigQueryYou have knowledge about supporting build and deploy technologies (e.g. Maven/Gradle, Docker)You have experience with relational and object databases like MySQL, MongoDB and comfortable with data exploration using SQL; NoSQL databases would be a plusYou have experience with BI tools like Looker, Data Studio or TableauYou have experience with Java/Spring Boot-based backend technologies and have implemented and consumed RESTful (micro-)services