[All remote jobs](https://jobicy.com/jobs.md)[![Elevenlabs logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/e01b4c5d-221.png)](https://jobicy.com/company/elevenlabs.md)[Elevenlabs](https://jobicy.com/company/elevenlabs.md) # Data Engineer Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/elevenlabs.md)ShareRemote from[UK](https://jobicy.com/job-region/uk.md), [Spain](https://jobicy.com/job-region/spain.md), [France](https://jobicy.com/job-region/france.md)+5 more, [Netherlands](https://jobicy.com/job-region/netherlands.md), [Italy](https://jobicy.com/job-region/italy.md), [Poland](https://jobicy.com/job-region/poland.md), [Hungary](https://jobicy.com/job-region/hungary.md), [Bulgaria](https://jobicy.com/job-region/bulgaria.md)SalaryUndisclosedDepartment[Data Science & Analytics](https://jobicy.com/categories/data-science.md)EmploymentFull TimeExperienceOpen levelPublished28 Oct 2026Apply before27 Nov 2026Listing views48Application actions2Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. ElevenLabs is hiring an experienced Data Engineer to build and scale reliable data pipelines across the organization. The role owns data delivery from ingestion through consumption, establishes dbt standards, and implements data-quality controls. The engineer will create self-service tooling, documentation, and AI agents that help cross-functional teams answer data questions independently. Success requires strong Python, SQL, dbt, cloud, infrastructure-as-code, and stakeholder-management capabilities in a fast-moving AI company. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 4/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 4/5IndependentCollaborative AI insightThis is a senior-leaning data engineering role with end-to-end ownership over scalable pipelines, data governance, and internal self-service capabilities. It demands deep dbt expertise plus the ability to convert ambiguous stakeholder needs into durable technical solutions in a high-velocity environment. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$150,000US market range (per year)$125k–$180k0$198.00k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer salary was disclosed. Estimated annual USD compensation for an experienced Data Engineer in this role is $150,000, with an estimated market range of $125,000–$180,000 per year; these are AI estimates, not verified salary research. ## Core skills Skills and capabilities most closely associated with this opportunity. [Data engineering](https://jobicy.com/jobs?search_keywords=Data%20engineering.md)[dbt](https://jobicy.com/jobs?search_keywords=dbt.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[Data pipelines](https://jobicy.com/jobs?search_keywords=Data%20pipelines.md)[Data quality](https://jobicy.com/jobs?search_keywords=Data%20quality.md)[Data modeling](https://jobicy.com/jobs?search_keywords=Data%20modeling.md)[Business intelligence](https://jobicy.com/jobs?search_keywords=Business%20intelligence.md)[Self-service analytics](https://jobicy.com/jobs?search_keywords=Self-service%20analytics.md)[Terraform](https://jobicy.com/jobs?search_keywords=Terraform.md)[Infrastructure as code](https://jobicy.com/jobs?search_keywords=Infrastructure%20as%20code.md)[Google Cloud Platform](https://jobicy.com/jobs?search_keywords=Google%20Cloud%20Platform.md)[Data documentation](https://jobicy.com/jobs?search_keywords=Data%20documentation.md)[AI agents](https://jobicy.com/jobs?search_keywords=AI%20agents.md)[Stakeholder management](https://jobicy.com/jobs?search_keywords=Stakeholder%20management.md) Sample interview questionsHow have you designed and scaled an end-to-end data pipeline?I begin by defining source contracts, data ownership, freshness requirements, and downstream use cases. I build observable ingestion and transformation layers, use version-controlled dbt models with tests, and add monitoring for failures, volume anomalies, and SLA breaches. I then document the models and iterate with consumers as usage grows. What dbt practices would you establish for a growing data team? I would introduce a clear layered model structure, consistent naming conventions, source freshness checks, schema and custom tests, reusable macros, and mandatory documentation. Pull-request review, CI runs for changed models, and an ownership model for critical datasets help keep standards reliable as contributors increase. How would you improve data quality for data used by several business teams? I would first identify critical metrics and define their business meaning with stakeholders. Then I would implement source validation, dbt tests for uniqueness, completeness and referential integrity, reconciliation checks, and alerts for unexpected changes. Clear lineage and incident processes ensure issues are diagnosed and communicated quickly. How do you turn ambiguous stakeholder requests into generalized data solutions? I clarify the decision the stakeholder is trying to make, the definitions behind requested metrics, expected update frequency, and who else may need the same information. Rather than delivering a one-off extract, I look for reusable models, semantic definitions, or governed self-service datasets that solve the broader problem. What role can AI agents play in a data platform? AI agents can make governed data easier to discover by translating well-scoped questions into approved queries, explaining metric definitions, and directing users to trusted dashboards. I would constrain them to documented datasets, apply access controls, log usage, and validate outputs so they improve self-service without bypassing data governance. Opportunity details ## About this role. ### 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. * 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). * Strong infra fundamentals (Terraform or other infrastructure as code, GCP or other cloud providers) * 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. Show more [Apply now >](https://jobicy.com/jobs/157508-data-engineer-4.md) > Annual salary information is not provided for this position. 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