Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Enhance core data infrastructure and optimise data pipelines for a leading monetisation platform.
- Company: A top creator monetisation platform based in Greater London.
- Benefits: Enjoy remote work, unlimited holiday, and a competitive salary.
- Why this job: Shape the data foundation of a $100M+ platform with high autonomy.
- Qualifications: 5+ years in data engineering and expertise in AWS services like S3 and Athena.
- Other info: Join a dynamic team and make a significant impact on data strategy.
The predicted salary is between 48000 - 72000 £ per year.
A leading creator monetisation platform in Greater London is searching for a Senior Data Engineer to enhance its core data infrastructure. The ideal candidate has over 5 years of experience in building production-grade data pipelines and a strong proficiency with AWS data services including S3 and Athena. You will be responsible for stabilizing data ingestion and optimizing observability. The role offers high autonomy and a chance to shape the data foundation for a $100M+ platform, with benefits like remote work and unlimited holiday.
Senior Data Engineer — Remote Data Platform & ML Impact employer: Fanvue LLC
Contact Detail:
Fanvue LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer — Remote Data Platform & ML Impact
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at companies you're eyeing. A friendly chat can sometimes lead to insider info or even a referral!
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or contributions to open-source, make sure to highlight them during interviews. It’s a great way to demonstrate your expertise in building data pipelines and using AWS services.
✨Tip Number 3
Prepare for technical interviews by brushing up on your data engineering concepts. We recommend practicing coding challenges and system design questions that focus on data ingestion and observability.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer — Remote Data Platform & ML Impact
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data pipelines and AWS services like S3 and Athena. We want to see how your skills align with what we're looking for, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're excited about the role and how you can contribute to our $100M+ platform. We love hearing about your passion for data engineering and any innovative ideas you might have.
Showcase Your Achievements: When detailing your past experiences, focus on specific achievements that demonstrate your ability to stabilise data ingestion and optimise observability. Numbers and results speak volumes, so include metrics where possible!
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’re considered for this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Fanvue LLC
✨Know Your Data Tools
Make sure you brush up on your knowledge of AWS data services, especially S3 and Athena. Be ready to discuss how you've used these tools in past projects, as this will show your hands-on experience and understanding of the technologies they'll expect you to work with.
✨Showcase Your Pipeline Experience
Prepare specific examples of production-grade data pipelines you've built. Highlight the challenges you faced and how you overcame them. This will demonstrate your problem-solving skills and your ability to enhance core data infrastructure, which is crucial for the role.
✨Emphasise Observability and Stability
Since you'll be responsible for stabilising data ingestion and optimising observability, come equipped with strategies or tools you've implemented in the past. Discuss how you ensure data quality and reliability, as this will resonate well with their needs.
✨Be Ready for Autonomy
This role offers high autonomy, so be prepared to discuss how you manage your time and projects independently. Share examples of how you've taken initiative in previous roles, as this will show that you're a self-starter who can thrive in a remote environment.
