Data Engineer

Berlin, Germany

As part of the Platform tribe, you will help build a self-service, AI-Ready Data Platform. The Data Platform team supports our next big bets: Data, AI, and real-time analytics. We are a team focused on building scalable, reliable infrastructure to enable our global data community.

What you’ll do

• Build and maintain best-in-class data infrastructure for critical processes.

• Develop features that strengthen self-service, including for ETL and orchestration.

• Optimise processes to use compute more efficiently and reduce cost.

• Automate operations so the platform stays highly available.

• Contribute to the design and implementation of new services.

You’ll be a strong fit if you

• Have experience with infrastructure as code and containerisation (e.g. Terraform, Helm, Docker, Kubernetes).

• Have used modern query engines (e.g. Snowflake, Databricks, BigQuery, Trino).

• Have worked with modern data orchestration tools (e.g. Airflow, Dagster).

• Are proficient in at least one of our main languages: Python or Go.

• Bring a pragmatic, team-first mindset.

• Are self-motivated, work well independently, and can balance stakeholder needs.

Nice to have 

• Experience building and operating performant API layers.

• Experience with dbt for transform, test, and documentation workflows.

• Query optimization at scale.

• Real-time streaming (e.g. Kafka, Flink, StarRocks, Pinot, Druid, ClickHouse).

• Experience with systems at petabyte scale.

• Experience implementing AI-enabled systems (e.g. agentic SRE, AI automation).