Data Engineer: Scalable Pipelines & Self-Serve Analytics (Remote)

Data Engineer: Scalable Pipelines & Self-Serve Analytics (Remote)

Full-Time 50000 - 70000 £ / year (est.) Working from home possible
Elevenlabs

At a Glance

  • Tasks: Build and scale data pipelines while ensuring top-notch data quality.
  • Company: Join ElevenLabs, a cutting-edge AI research company with a global reach.
  • Benefits: Enjoy remote work flexibility, professional development, and a collaborative culture.
  • Other info: Be part of a dynamic team with exciting growth opportunities.
  • Why this job: Make an impact in AI by creating self-service analytics solutions for diverse teams.
  • Qualifications: Expertise in dbt, Python, and SQL is essential.

The predicted salary is between 50000 - 70000 £ per year.

ElevenLabs, an innovative AI research company, is seeking an experienced Data Engineer to join the Growth team. In this role, you will be responsible for building and scaling data pipelines, ensuring data quality, and creating self-service solutions for various teams.

Ideal candidates will have expertise in dbt and proficiency in Python and SQL. Enjoy a flexible, remote work environment with opportunities for professional development and collaboration across global hubs.

Data Engineer: Scalable Pipelines & Self-Serve Analytics (Remote) employer: Elevenlabs

At ElevenLabs, we pride ourselves on being an excellent employer by fostering a flexible and inclusive remote work culture that empowers our employees to thrive. With a strong focus on professional development, our Data Engineers have access to continuous learning opportunities and the chance to collaborate with talented teams across the globe, making every project meaningful and rewarding.

Elevenlabs

Contact Details:

Elevenlabs Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer: Scalable Pipelines & Self-Serve Analytics (Remote)

Tip Number 1

Network like a pro! Reach out to current or former employees at ElevenLabs on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.

Tip Number 2

Show off your skills! Prepare a portfolio showcasing your data pipelines and analytics projects. When you get that interview, having tangible examples will help us see how you can contribute to the Growth team.

Tip Number 3

Practice makes perfect! Get comfortable with common interview questions for Data Engineers. We recommend doing mock interviews with friends or using online platforms to refine your answers and boost your confidence.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining ElevenLabs and being part of our innovative team.

We think you need these skills to ace Data Engineer: Scalable Pipelines & Self-Serve Analytics (Remote)

Data Pipeline Development
Data Quality Assurance
Self-Service Analytics Solutions
dbt
Python
SQL
Collaboration Skills

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with dbt, Python, and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re excited about the Data Engineer position and how you can contribute to our Growth team. Keep it engaging and personal – we love to see your personality!

Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in building and scaling data pipelines. We’re keen to know how you ensure data quality and create self-service solutions for teams.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!

How to prepare for a job interview at Elevenlabs

Know Your Tech Stack

Make sure you brush up on your skills in dbt, Python, and SQL. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.

Showcase Your Problem-Solving Skills

Prepare to share examples of how you've built and scaled data pipelines in the past. Think about the processes you implemented to ensure data quality and how you created self-service solutions for teams.

Understand the Company Culture

Research ElevenLabs and their innovative approach to AI. Familiarise yourself with their values and mission, so you can align your answers with what they’re looking for in a candidate.

Ask Insightful Questions

Prepare thoughtful questions about the Growth team’s current projects and future goals. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.