Data Engineer

About ElevenLabs

ElevenLabs is an AI research and product company transforming how we interact with technology.

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.

We have expanded from voice into three main platforms:

• ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.

• ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.

• ElevenAPI gives developers access to our leading AI audio foundational models.

Everything we do is the result of the creativity and commitment of our team – builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.

How we work

• High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.

• Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.

• AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.

• Global team: We prioritize your talent, not your location.

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

• Expert knowledge of dbt (required).

• Proficiency with tools across the modern data stack (Python, SQL, BI tools).

• 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.

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Source: Jobspresso (https://jobspresso.co/job/data-engineer/)