Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build scalable data systems for financial accuracy in music streaming.
- Company: Leading music streaming service with a focus on inclusivity and flexibility.
- Benefits: Hybrid work environment, career development, and a dynamic team culture.
- Why this job: Join a fast-paced team and contribute to innovative solutions in the music industry.
- Qualifications: Experience with large-scale data ecosystems, SQL, and distributed processing tools.
- Other info: Work in London or Stockholm and enjoy a collaborative atmosphere.
The predicted salary is between 36000 - 60000 £ per year.
A leading music streaming service is hiring a Data Engineer to design and build scalable data systems ensuring financial accuracy. The role requires experience with large-scale data ecosystems, SQL, and distributed processing tools, alongside collaboration with Finance and Audiobooks.
Join a team that values inclusivity and flexibility in a hybrid work environment located in London or Stockholm. Contribute to innovative solutions while developing your career in a fast-paced setting.
Data Engineer, Financial Royalties & Pipelines in London employer: Spotify
Contact Detail:
Spotify Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer, Financial Royalties & Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or industry events. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with large-scale data ecosystems and SQL. We want to see how you tackle real-world problems, so make it relevant to the role!
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on distributed processing tools and financial data accuracy. We recommend mock interviews with friends or using online platforms to simulate the experience.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us!
We think you need these skills to ace Data Engineer, Financial Royalties & Pipelines in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with large-scale data ecosystems and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our team. Let us know what excites you about working in the music streaming industry.
Showcase Collaboration Skills: Since this role involves working closely with Finance and Audiobooks, highlight any past experiences where you collaborated across teams. We love seeing how you can bring people together to achieve common goals!
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 Spotify
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of large-scale data ecosystems and SQL. Be prepared to discuss specific projects where you've designed or built data systems, and how you ensured financial accuracy. This will show that you understand the core responsibilities of the role.
✨Showcase Your Collaboration Skills
Since this role involves working closely with Finance and Audiobooks, think of examples where you've successfully collaborated with different teams. Highlight your communication skills and how you’ve contributed to a team environment, especially in a hybrid work setting.
✨Be Ready for Technical Questions
Expect some technical questions related to distributed processing tools. Brush up on the latest technologies and be ready to explain your thought process when solving data-related problems. Practising coding challenges can also help you feel more confident.
✨Emphasise Inclusivity and Flexibility
This company values inclusivity and flexibility, so be sure to express your alignment with these values. Share experiences where you’ve adapted to different work environments or supported diverse teams, showing that you’re a good fit for their culture.
