📣 Finde deinen Traumjob als Java Engineer bei trivago Hotel Relations GmbH in Düsseldorf

Are you an experienced and motivated Java engineer with a passion for performant algorithm design and applied data science? Are you interested in working with big data-driven applications that are highly scalable and distributed? Do you love learning new technologies?

Our Auction Strategy team is looking for a new team member to join our interdisciplinary group of engineers and data scientists who are working to bring machine learning and predictive algorithms into production. If you are looking for a role in a dynamic, challenging, and innovative environment where your work has a direct, visible impact, you have come to the right place!

What you’ll do:

• Work on the Java microservices, implementing auction algorithms and machine learning models to make business-congruent decisions that satisfy trivago’s users and partners.
• Leverage current technologies to develop, test, deploy, and monitor new algorithms within a large-scale, distributed backend system.
• Analyze the effects of algorithm changes and monitor performance data with Python, Hive, and other industry standard languages and tools.
• Use profiling tools to tune performance-critical components.
• Implement tools and interfaces for data scientists and stakeholders.
• Contribute to the growth of our team through learning and sharing new topics.

Our Technology Stack:

• Java 16, Spring Boot, Gradle, gRPC.
• Docker, Kubernetes, Google Cloud.
• Python, JupyterLab, Pandas.
• Elasticsearch, Kibana, Grafana.
• Kafka, Hive on Tez, Impala, Apache Spark.

What you’ll need:

• Solid skills in Java and Java-ecosystem frameworks and tools.
• Working knowledge of Java concurrency and safe coding practices.
• A strong desire to write maintainable, performant software.
• Knowledge of at least one scripting language (we like Python ).
• An interest for Data Science and/or related work experience.
• Strong interpersonal communication skills to work closely with other team members.
• A passion for improving your technical skills and staying current with advancements within the industry.

What we’d love you to have:

• A good overview of machine learning and statistics.
• Experience with Apache Kafka.
• Basic knowledge of Hadoop / Hive / Impala and/or Spark.
• Experience working with cloud environments.