3 data engineer jobs found in Berlin

Our mission Do you want to reach the next level? Every generation has its own technologies that drive it forward. Our generation focuses on data, information, and information management. These topics will undoubtedly continue to be relevant for generations to come. Do you want to make a lasting impact and leave your mark together with areto? Then we're a perfect match! What we offer... Flexible working hours – made possible by our trust-based working time system Working from home or in a hybrid setting? No problem for us! Workation including travel budget - so you can decide where you prefer to work. Sensational onboarding and unforgettable areto moments at our team events, including regular big-bang buddy breakfasts. Growth together – we offer you an environment that you can actively shape. With us, you can combine flexibility, personal responsibility, and entrepreneurial thinking. Onward, ever onward – the development of our aretolers is important to us!...

Welcome! Super excited you dropped by Let's redefine cyber security expertise standards and connect business - community through highly engaging hacking experiences. (Find out more insights about Hack The Box culture in our career site). ✨The core mission of the Senior Data Engineer: You will own and evolve our data pipelines on GCP — building new ones, hardening existing ones, improving data quality, and making clean, trustworthy data available across the organization. You'll work end-to-end on streaming and batch pipelines, from CDC and event ingestion through transformation, serving, and the feature layer that powers our ML and AI products. Your day-to-day will include designing ELT/ETL processes on BigQuery and ClickHouse, building real-time pipelines on Pub/Sub and Kafka with Dataflow (and where it fits, Flink/Spark), orchestrating workflows with Airflow, and ensuring data is properly cleaned, modeled, and served for analytics, ML training, and online inference....

BERLIN, MUNICH, HYBRID Tasks Our international team develops customized end-to-end solutions using machine learning for our clients. Our projects cover the entire lifecycle, from initial strategy consulting to implementation. If you're as passionate about programming as we are and want to bring your ideas to life, then join us! As a Machine Learning Engineer, you will support our customers in the   setup, maintenance, and operation   of data-intensive   cloud-based solutions   with one of the major cloud providers such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform. With your knowledge of   programming languages,   you deliver the right solutions for our customers in the field of machine learning. This also involves using   big data technologies   (e.g., Apache Spark or Hadoop),   databases   , and   batch or real-time data integration   (e.g., Kafka or RabbitMQ). You use   CI/CD and DevOps paradigms   to develop,...