Data Engineer

About ElevenLabs

We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.

What we offer

• Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
• Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
• Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
• Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
• Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.
• Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.

About the role

We’re looking for an experienced Data Engineer to join our Data team. You will build and scale our data pipelines, establish best practices, ensure data quality, and enable self-service data access across teams.

• 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

Requirements

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.

Location

This role is remote and can be executed globally. If you prefer, you can work from our offices in London, Warsaw, New York.