At a Glance
- Tasks: Build and scale data pipelines while ensuring quality and efficiency.
- Company: Join ElevenLabs, a leader in AI innovation with a growth-focused team.
- Benefits: Remote-friendly work, annual meet-ups, and professional development opportunities.
- Other info: Dynamic environment with opportunities for international collaboration.
- Why this job: Push the boundaries of AI and make a real impact on growth.
- Qualifications: Experience in data engineering and a passion for innovation.
The predicted salary is between 60000 - 80000 € per year.
ElevenLabs seeks a skilled Data Engineer to join our Growth team. In this role, you'll build and scale data pipelines, ensuring quality and efficiency while implementing best practices.
We offer a dynamic environment that encourages innovation and growth, as well as annual meet-ups and a focus on professional development.
This position is remote-friendly, allowing you to work from various international locations including London, New York, or Tokyo. If you're ready to push the boundaries of AI, we want to hear from you!
Remote Data Engineer — Growth Data Pipelines & dbt employer: Elevenlabs
At ElevenLabs, we pride ourselves on being an excellent employer that fosters a culture of innovation and collaboration. Our remote-friendly work environment allows you to connect with colleagues from diverse international locations, while our commitment to professional development ensures that you have ample opportunities for growth. Join us to be part of a forward-thinking team that is pushing the boundaries of AI and making a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Data Engineer — Growth Data Pipelines & dbt
✨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 might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio showcasing your data pipelines and dbt work. This hands-on evidence can really set you apart during interviews.
✨Tip Number 3
Be ready for technical challenges! Brush up on your data engineering concepts and be prepared to solve problems on the spot. Practice makes perfect, so try mock interviews with friends.
✨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 the ElevenLabs team.
We think you need these skills to ace Remote Data Engineer — Growth Data Pipelines & dbt
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data pipelines and any relevant tools like dbt. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our Growth team. Let us know why you're excited about working with us at ElevenLabs.
Showcase Your Projects:If you've worked on any cool data projects, don’t hold back! Include links or descriptions of your work that demonstrate your ability to build and scale data pipelines. We love seeing real examples of your skills in action.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Elevenlabs
✨Know Your Data Pipelines
Make sure you understand the ins and outs of data pipelines, especially in the context of growth. Brush up on your knowledge of tools like dbt and be ready to discuss how you've built or scaled pipelines in the past.
✨Showcase Your Problem-Solving Skills
Prepare examples of challenges you've faced in previous roles and how you tackled them. Companies like ElevenLabs value innovation, so think about how you can demonstrate your ability to think outside the box when it comes to data engineering.
✨Familiarise Yourself with Best Practices
Research best practices in data engineering and be prepared to discuss how you implement these in your work. This shows that you're not just technically skilled but also committed to quality and efficiency.
✨Engage with Their Vision
Understand ElevenLabs' focus on pushing the boundaries of AI. Be ready to share your thoughts on the future of data engineering and how you can contribute to their mission. This will show your enthusiasm for the role and the company.
