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- Tasks: Enhance data infrastructure and develop high-quality datasets using SQL and Python.
- Company: Leading audio streaming company with a focus on innovation.
- Benefits: Flexible working location, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape user access insights in the audio streaming industry.
- Qualifications: Experience in data product development and ETL processes required.
- Other info: Work in a collaborative environment with a strong emphasis on data-driven decision making.
The predicted salary is between 36000 - 60000 £ per year.
A leading audio streaming company is looking for a talented data analytics engineer to enhance foundational data infrastructure for user access and identity management insights. This role includes defining data schemas, collaborating with engineering teams, and developing high-quality datasets using SQL and Python. The ideal candidate should have experience in data product development and be comfortable with ETL processes. This position offers flexibility in working location, based in London or Stockholm.
Analytics Engineer II – User Platform Data Infrastructure employer: Spotify
Contact Detail:
Spotify Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer II – User Platform Data Infrastructure
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving SQL and Python. This will help us see your practical experience and how you tackle real-world problems.
✨Tip Number 3
Prepare for the interview by brushing up on ETL processes and data schema design. We want to hear how you approach these challenges, so have some examples ready to share!
✨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, it shows you’re genuinely interested in joining our team!
We think you need these skills to ace Analytics Engineer II – User Platform Data Infrastructure
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data product development and ETL processes. We want to see how your skills align with the role, so don’t be shy about showcasing your SQL and Python expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about enhancing data infrastructure for user access and identity management. Let us know how your past experiences make you the perfect fit for this role.
Showcase Collaboration Skills: Since this role involves working closely with engineering teams, highlight any collaborative projects you've been part of. We love seeing how you’ve worked with others to achieve great results in data analytics!
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 during the process!
How to prepare for a job interview at Spotify
✨Know Your Data
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in relation to data schemas and ETL processes. This will show that you’re not just familiar with the tech but can apply it effectively.
✨Collaborate Like a Pro
Since this role involves working closely with engineering teams, think of examples where you've successfully collaborated on data projects. Prepare to share how you’ve navigated challenges in teamwork and what strategies you used to ensure smooth communication and project success.
✨Showcase Your Problem-Solving Skills
Be ready to tackle some hypothetical scenarios during the interview. Think about how you would approach defining data schemas or resolving issues in data integrity. This is your chance to demonstrate your analytical thinking and problem-solving abilities.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data infrastructure and future projects. This shows your genuine interest in the role and helps you understand how you can contribute to their goals. Plus, it gives you a chance to assess if the company culture aligns with your values.
