Data Engineer

Elevenlabs·Remote(United Kingdom)
Software Development
Excel

WFA Digital Insight

The demand for skilled Data Engineers has skyrocketed, with a 25% increase in remote job postings over the past year. As companies like Elevenlabs continue to drive innovation in AI, the need for experts who can build and scale data pipelines has become crucial. With a strong foundation in dbt and AI, candidates can expect to be in high demand. Before applying, it's essential to understand the company's unique culture and approach to AI-driven growth, as well as the skills required to succeed in this role. With the global remote work trend on the rise, Elevenlabs offers a unique opportunity to join a dynamic team and drive impact in the AI industry.

Job Description

About the Role

The Data Engineer role at Elevenlabs is a critical part of the company's growth team, responsible for building and scaling data pipelines to support the company's AI-driven products. As a Data Engineer, you will work closely with cross-functional teams to establish best practices, ensure data quality, and enable self-service data access. With a strong focus on innovation and excellence, Elevenlabs is looking for a candidate who can drive impact and contribute to the company's mission to transform the way we interact with technology.

The role entails working on complex data pipelines, implementing dbt best practices, and collaborating with stakeholders to understand their data needs. You will be part of a dynamic team that values creativity, commitment, and excellence, and will have the opportunity to work on cutting-edge projects that push the boundaries of what's possible with AI.

What You Will Do

  • 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 to independently meet their data needs
  • Create AI agents to serve data questions for others
  • Collaborate with stakeholders to understand their data needs and provide solutions
  • Develop and maintain data pipelines to support business growth
  • Ensure data quality and integrity across all pipelines
  • Work closely with the engineering team to integrate data pipelines with other systems
  • Develop and maintain documentation for data pipelines and processes

What We Are Looking For

  • Demonstrated experience formalizing 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 generalized solutions
  • Experience working with AI-driven products and technologies
  • Strong communication and collaboration skills
  • Ability to work in a fast-paced, dynamic environment

Nice to Have

  • Experience working with cloud-based data platforms (e.g. AWS, GCP, Azure)
  • Knowledge of data engineering best practices and industry trends
  • Experience working with Agile development methodologies

Benefits and Perks

  • Competitive salary and benefits package
  • Opportunity to work on cutting-edge AI-driven products
  • Collaborative and dynamic work environment
  • Professional development opportunities through an annual discretionary stipend
  • Social travel stipend to meet up with colleagues
  • Annual company offsite in a new location
  • Co-working stipend for remote workers
  • Flexible working hours and remote work options
  • Access to the latest tools and technologies

How to Stand Out

  • Tip: Make sure to highlight your experience with dbt and AI-driven products in your application, as these are key skills required for the role.
  • Tip: Be prepared to provide examples of how you have simplified complex data pipelines and collaborated with cross-functional teams in previous roles.
  • Tip: Show enthusiasm for the company's mission and products, and be prepared to discuss how you can contribute to the company's growth and success.
  • Tip: Familiarize yourself with the company's culture and values, and be prepared to discuss how you align with them.
  • Tip: Be prepared to provide examples of your experience working with data engineering tools and technologies, such as Python, SQL, and BI tools.
  • Tip: Consider including a portfolio of your work, such as examples of data pipelines you have built or optimized, to demonstrate your skills and experience.

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