Data Engineer

The company builds tools to help small business owners run their businesses.

• 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;
• 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).

• No conditions specified