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Listed on Depop’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role owns the technical vision and execution of Depop's data platform, building self-serve infrastructure and tools that enable analytics, ML, and product teams to work with data at scale. You'll combine hands-on engineering—writing microservices, designing data pipelines, and managing a modern cloud stack—with strategic leadership to shape data practices across the organization.
Our summary, not Depop’s wording. The full posting is on their site.
Skills this role names
- Amazon Web Services (AWS)
- Apache Airflow
- Apache Flink
- Apache Iceberg
- Apache Kafka
- Cursor AI
- Databricks
- Dialectical Behavior Therapy (DBT)
- Docker
- GitHub Actions
- Jenkins
- Kubernetes
- Microsoft Azure
- Python
- Scala
- SPARK
- Terraform
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What they ask for
Required
- Advanced proficiency in Python or Scala with strong software engineering fundamentals
- Hands-on experience designing and scaling complex data systems in production cloud environments
- Strategic and pragmatic thinking to define long-term technical direction and execute rapidly
- Strong communication and stakeholder collaboration across technical and non-technical teams
- Expertise with data orchestration and processing tools like Databricks, Airflow, or dbt
Nice to have
- DevOps experience with CI/CD pipelines and infrastructure-as-code
- Containerization experience with Docker and Kubernetes
- Hands-on Spark expertise
- Deep knowledge of data lake table formats like Delta Lake, Iceberg, or Hudi
- Lakehouse and medallion architecture experience
- Streaming ecosystem knowledge with Kafka, Flink, or Confluent
- Experience with data governance and observability tools