Data Engineer (Europe Only)

Proven experience building ETL/ELT pipelines in a production environment Strong proficiency in TypeScript (experience writing backend/data-oriented TS code) Solid understanding of data engineering concepts: data modelling, schema design, warehousing, data quality, scheduling, monitoring, error handling Familiarity with modern data tooling/stacks (e.g., Snowflake, BigQuery, Redshift, orchestration tools, ETL frameworks, job scheduling, APIs/webhooks) Excellent problem solving — comfortable working with messy data, identifying bottlenecks, designing scalable, maintainable solutions Comfortable working remotely, collaborating asynchronously and autonomously across time zones Based in Europe (time-zone compatible with Europe; remote but must reside in Europe)

Design, build and maintain ETL/ELT pipelines Work end-to-end: from data ingestion and schema design, through transformation/cleaning, to enabling downstream analytics, dashboards and workflows Write robust, well-tested code in TypeScript for data & pipeline orchestration Partner with cross-functional stakeholders to understand data needs, define requirements and ensure data quality, reliability and availability Monitor data pipelines, set up alerting, ensure data accuracy, performance and scalability Collaborate in building the infrastructure for data as a source of truth Contribute to design, architecture and best practices around data workflows