Data Engineer
RemoteFull-timePosted 5mo ago
About the role
Experienced Data Engineer to build and scale data pipelines, establish best practices, ensure data quality, and enable self-service data access across teams at ElevenLabs.
Responsibilities
- Own and streamline data pipelines from ingestion to delivery, ensuring they are reliable, scalable, and efficient.
- Implement and maintain dbt best practices, data standards, and quality controls.
- Build self-service tooling and write clear documentation to empower cross-functional teams (Engineering, Revenue Operations, Growth, and others) to independently meet their data needs.
- Create AI agents to serve data questions for others
Qualifications
- Demonstrated experience formalising and scaling data pipelines, ideally as one of the first or early data engineers on a growing team.
- Expert knowledge of dbt (required).
- Proficiency with tools across the modern data stack (Python, SQL, BI tools).
- Structured thinking; ability to simplify complex, messy data into clear structures.
- Strong ability to understand varied stakeholder requirements and build generalised solutions.
Skills
Required:dbtPythonSQLBI toolsStructured thinking
Benefits
- Innovative culture: opportunity to define the trajectory of AI.
- Growth paths with opportunities to drive impact beyond immediate role.
- Learning & development: annual discretionary stipend.
- Social travel: annual discretionary stipend to meet up with colleagues.
- Annual company offsite in new locations.
- Co-working stipend for remote locations.
Last updated Oct 22, 2026. Interested? Apply on the company site.
About ElevenLabs
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