Senior Data Platform Engineer
Indexed description
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.
- 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.
- 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).
Job Application Tip
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