Чётко очерченная senior-роль в инженерии данных в быстрорастущей AI-компании с современным стеком и заметным влиянием на разные команды.
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Современный стекСильный AI-доменВлияние на командыВысокий темп
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Data Engineer (AI) (dbt/Python/SQL): Build and scale reliable data pipelines, data quality practices, self-service tooling, and AI agents for data questions across Engineering, Revenue Operations, and Growth with an accent on modern data stack engineering and infrastructure fundamentals. Focus on formalising messy data into clear structures, creating generalised solutions for varied stakeholders, and enabling independent data access across teams.
Location: Remote globally; work is also available from offices in London, Warsaw, or New York. The listed remote locations are the United Kingdom, Bulgaria, France, Hungary, Italy, the Netherlands, Poland, and Spain.
Company
ElevenLabs is an AI research and product company developing voice, speech, music, image, video, and conversational AI platforms.
What you will do
Own and streamline data pipelines from ingestion to delivery, ensuring reliability, scalability, and efficiency.
Implement and maintain dbt best practices, data standards, and data quality controls.
Build self-service data tooling for Engineering, Revenue Operations, Growth, and other cross-functional teams.
Write clear documentation that enables teams to meet their data needs independently.
Create AI agents that answer data questions for other teams.
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.
Proficiency with modern data stack tools, including Python, SQL, and BI tools.
Strong infrastructure fundamentals, including Terraform or other infrastructure-as-code tools and GCP or other cloud providers.
Structured thinking and the ability to simplify complex, messy data into clear structures.
Strong ability to understand varied stakeholder requirements and build generalised solutions.
Culture & Benefits
High-velocity environment with rapid experimentation, lean autonomous teams, and minimal bureaucracy.
AI-first working practices and an emphasis on technical excellence.
Annual discretionary stipend for professional development.
Annual discretionary stipend for social travel and colleague meetups.
Annual company offsite.
Monthly co-working stipend for employees who are not located near a main hub.
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