Senior engineer who architects, builds, and scales Depop's internal data platform, enabling self-serve data for data scientists, ML engineers, and analytics teams; owns transformation/orchestration tooling, batch and streaming infrastructure, and the data lake. Core stack: Kafka, Airflow, dbt, Databricks, Python/Scala, Terraform, cloud-native services.
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