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- Tasks: Build core datasets and scalable data pipelines for financial insights.
- Company: Leading audio streaming service with a focus on innovation.
- Benefits: Flexible hybrid working, competitive salary, and opportunities for growth.
- Why this job: Make an impact on financial clarity and strategic decisions in a dynamic environment.
- Qualifications: Expertise in Python, Java, or Scala, and experience in cloud-based data processing.
- Other info: Collaborate with cross-functional teams in a vibrant London office.
The predicted salary is between 48000 - 72000 £ per year.
A leading audio streaming service seeks a Financial Data Engineer to build core datasets and scalable data pipelines. The role requires expertise in Python, Java, or Scala, alongside experience in cloud-based data processing. The successful candidate will collaborate with cross-functional teams and ensure high-quality data products.
The position is based in London with flexible working options, allowing for a mix of in-person and remote work. Join us at this innovative company where your insights and skills will drive financial clarity and strategic decisions.
Senior Data Platform Engineer - Financial Data (Hybrid) employer: Spotify
Contact Detail:
Spotify Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Platform Engineer - Financial Data (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. A friendly chat can give us the inside scoop on the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects in Python, Java, or Scala. This is your chance to demonstrate your expertise in building scalable data pipelines.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your coding skills and data processing concepts. 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 Senior Data Platform Engineer - Financial Data (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Java, or Scala, as well as any cloud-based data processing you've done. 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 excited about the role and how your background makes you a perfect fit. We love seeing passion and personality, so let us know what drives you in the world of financial data.
Showcase Collaboration Skills: Since this role involves working with cross-functional teams, highlight any past experiences where you’ve successfully collaborated with others. We’re looking for team players who can communicate effectively and contribute to high-quality data products.
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. Plus, it shows you’re keen to join our innovative team!
How to prepare for a job interview at Spotify
✨Know Your Tech Stack
Make sure you brush up on your Python, Java, or Scala skills before the interview. Be ready to discuss specific projects where you've used these languages, especially in building data pipelines or working with cloud-based processing.
✨Showcase Your Collaboration Skills
Since the role involves working with cross-functional teams, prepare examples of how you've successfully collaborated with others in past projects. Highlight your communication skills and how you ensure everyone is on the same page.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Practice solving data-related problems on the spot, as this will demonstrate your analytical thinking and ability to tackle real-world issues.
✨Understand the Company’s Vision
Research the audio streaming service and understand its mission and values. Be ready to discuss how your role as a Financial Data Engineer can contribute to their goals, particularly in driving financial clarity and strategic decisions.
