Data Engineer

We are looking for a high-caliber Data Engineer who can architect and scale the data systems that power our AI workflows. You’ll be responsible for building reliable data pipelines, integrating external APIs, maintaining clean and structured data models, and enabling the product and ML teams to iterate quickly.

Requirements

• Design, build, and maintain scalable data pipelines that process and transform large volumes of structured and unstructured data.
• Manage ingestion from third-party APIs, internal systems, and customer datasets.
• Develop and maintain data models, data schemas, and storage systems optimized for ML and product performance.
• Collaborate with ML engineers to prepare model-ready datasets, embeddings, feature stores, and evaluation data.
• Implement data quality monitoring, validation, and observability.
• Work closely with product engineers to support new features that rely on complex data flows.
• Optimize systems for performance, cost, and reliability.
• Contribute to early architecture decisions, infrastructure design, and best practices for data governance.
• Build tooling that enables the entire team to access clean, well-structured data.

Benefits

• Build core systems at the heart of a fast-growing AI company.
• High autonomy, high impact, zero bureaucracy.
• Work with a talented, ambitious team solving meaningful problems.
• Shape the data platform from the ground up.