Senior Data Engineer (Scala) in Allegro's Data & AI organization, based in Warsaw, Poland. This hybrid role involves building a highly scalable and fault-tolerant data ingestion platform for millions of Allegro customers. The data platform processes about 5 billion clickstream events per day (up to 150k per second) from all Allegro sites and mobile apps, using a mix of on-premises infrastructure and Google Cloud Platform services such as Spark, Kafka, Beam, BigQuery, Pub/Sub, and Dataflow. You will work with Scala, Java, or Python, and apply distributed systems concepts, data storage and processing frameworks (dbt, Spark, Apache Beam). Knowledge of GCP (Dataflow/Composer) or other clouds (Azure/AWS) is beneficial. You will follow best practices (clean code, code reviews, TDD, CI/CD), operate in Unix/Linux environments, and collaborate closely with colleagues. English at B2 level is required. The role offers flexible working hours within a hybrid model (4/1) and up to 30 days of occasional remote work, a salary range of PLN 18,400 - 25,450, and an annual bonus tied to performance and company results. The team is based in Warsaw and forms part of a broad Data & AI group of over 150 engineers across multiple teams, including those building data tools, ML models, search, recommendations, and experimentation platforms. Allegro provides well-equipped offices, a MacBook Pro or Dell, a cafeteria plan with a range of benefits, language courses, training budgets, volunteering time, and vibrant tech culture with Kubernetes, Docker, GitHub, and internal tech events.

Senior Data Engineer (Scala) in Allegro's Data & AI organization, based in Warsaw, Poland. This hybrid role involves building a highly scalable and fault-tolerant data ingestion platform for millions of Allegro customers. The data platform processes about 5 billion clickstream events per day (up to 150k per second) from all Allegro sites and mobile apps, using a mix of on-premises infrastructure and Google Cloud Platform services such as Spark, Kafka, Beam, BigQuery, Pub/Sub, and Dataflow. You will work with Scala, Java, or Python, and apply distributed systems concepts, data storage and processing frameworks (dbt, Spark, Apache Beam). Knowledge of GCP (Dataflow/Composer) or other clouds (Azure/AWS) is beneficial. You will follow best practices (clean code, code reviews, TDD, CI/CD), operate in Unix/Linux environments, and collaborate closely with colleagues. English at B2 level is required. The role offers flexible working hours within a hybrid model (4/1) and up to 30 days of occasional remote work, a salary range of PLN 18,400 - 25,450, and an annual bonus tied to performance and company results. The team is based in Warsaw and forms part of a broad Data & AI group of over 150 engineers across multiple teams, including those building data tools, ML models, search, recommendations, and experimentation platforms. Allegro provides well-equipped offices, a MacBook Pro or Dell, a cafeteria plan with a range of benefits, language courses, training budgets, volunteering time, and vibrant tech culture with Kubernetes, Docker, GitHub, and internal tech events.