Data Engineer
United Kingdom
- Pay
- Salary not listed in the saved posting
- Work setup
Remote stated — work setup source
Location This role is remote and can be executed globally. If you prefer, you can work from our offices in London, Warsaw, New York. #LI-Remote
Location type: Remote
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Engineering & Product › Core Platform — team source
Department: Engineering & Product › Core Platform
From the employer’s posting
What you’ll work on
Full postingWe’re looking for an experienced Data Engineer to join our Data team.
Own and streamline data pipelines from ingestion to delivery, ensuring they are reliable, scalable, and efficient.
You will build and scale our data pipelines, establish best practices, ensure data quality, and enable self-service data access across teams.
From the employer’s posting
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.
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.
What you’ll bring
All qualificationsCore experience
- Demonstrated experience formalising and scaling data pipelines, ideally as one of the first or early data engineers on a growing team.
- 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.
Qualification wording
Demonstrated experience formalising and scaling data pipelines, ideally as one of the first or early data engineers on a growing team.
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.
Tools in this posting
- Python
- SQL
- dbt
Source — Tool mentions in context
- 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.
- 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.
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).
Benefits in the posting
Full benefits wording- 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.
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
From the employer’s posting.
About Elevenlabs
Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta.
In the employer’s words · Read in context
Job description
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 $11B - 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.
Excellence everywhere: Everything we do should match the quality of our AI models.
Global team: We prioritize your talent, not your location.
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.
#LI-Remote
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.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
United Kingdom
Location This role is remote and can be executed globally. If you prefer, you can work from our offices in London, Warsaw, New York. #LI-Remote 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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Jun 2, 2026
- Recorded sightings
- 233
- Last seen by us
- Sep 25, 2026
- Employer says posted
- May 20, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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