About the team

Trustly's DataOps team is responsible for delivering the data generated by the application to interested areas, as well as data from APIs and other tools. All this is done in a safe, structured, scalable and generic way because we work with multiple environments (in different regions) and need to maintain consistency. We work with both the batch layer (using Airflow) and the streaming layer (Kafka). We help areas in process automation to deliver data more quickly and reliably. We are also concerned with the quality of the data (Data Quality), creating an observability layer to act in a preventive and immediate way to the inconsistencies and failures of our processes. We also work on the delivery of products and services to facilitate the use and consultation of our data, such as maintaining tools such as Redshift and QuickSight. We interact with the Data Science area to provide the necessary support and infrastructure for the production of models. To achi...