Data Engineer

Eleven Labs Inc.; United Kingdom; Remote; GBP 45,000 - 65,000; Full time

Job summary

A dynamic AI audio company seeks an experienced Data Engineer for its Core Platform team. This role involves optimizing data pipelines and establishing data standards, offering flexibility in a growing team without formal certification requirements. Join Eleven Labs Inc. to influence the future of audio AI.

Benefits

Annual professional development stipend

Annual social travel stipend

Annual company offsite

Monthly co-working stipend

Qualifications

• Demonstrated experience in formalizing and scaling data pipelines.
• Strong understanding of varied stakeholder requirements.
• Expert knowledge of dbt required.

Responsibilities

• Own and streamline data pipelines from ingestion to delivery.
• Implement and maintain dbt best practices and data quality controls.
• Build tooling and documentation for cross-functional teams.

Skills

dbt

Python

SQL

Data Structuring

Stakeholder Management

Tools

BI tools

Job description

About ElevenLabs

ElevenLabs is a research and product company defining the frontier of Audio AI. Millions of individuals use ElevenLabs to read articles, voice over their videos, and reclaim voices lost from disability. And the leading developers and enterprises use ElevenLabs to create Conversational AI agents for support, sales, and education.

ElevenLabs launched in January 2023 with the first AI model to cross the threshold of human-like speech. In January 2025, we raised a $180 million Series C round, valuing ElevenLabs at $3.3 billion. The round was co-led by Andreessen Horowitz and ICONIQ Growth, with continued support from the leading names in tech, including Nat Friedman, Daniel Gross, Instagram co-founder Mike Krieger, Oculus VR co-founder Brendan Iribe, DeepMind and Inflection co-founder Mustafa Suleyman, and many others.

ElevenLabs is only 2 years old and scaling rapidly. We are just getting started. If you want to work hard and have an incredible impact, we would love 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.

• Excellence everywhere: Everything we do should match the quality of our AI models.

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

What we offer

• Learning & development: Annual discretionary stipend towards professional development.

• Social travel: Annual discretionary stipend to meet up with colleagues each year, however you choose.

• Annual company offsite: We bring the entire company together at a new location every year.

• 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 Core Platform team. You will formalise, optimise, and scale our data pipelines, establish best practices, ensure data quality, and enable self-service data access across teams.

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, etc.) to independently meet their data needs.
  

Requirements

We do not require formal certifications or degrees, but we are looking for demonstrated experience formalising and scaling data pipelines, ideally as one of the first or early data engineers on a growing team.

We do require:

• 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 generalized solutions.

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