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- Tasks: Build core financial datasets and scalable data pipelines for a leading audio streaming service.
- Company: Join a top audio streaming platform based in London with a focus on collaboration.
- Benefits: Enjoy flexible remote work, competitive salary, and a supportive team environment.
- Why this job: Make an impact by creating reliable data products that drive financial decisions.
- Qualifications: Proficient in Python, Java, or Scala with experience in large-scale data processing.
- Other info: Embrace a culture of inclusion and collaboration in a dynamic workplace.
The predicted salary is between 43200 - 72000 £ per year.
A leading audio streaming service based in London is looking for a Financial Engineer to build core financial datasets and scalable data pipelines. This role involves collaborating with finance, product, and data teams to create reliable and maintainable data products.
Candidates should be proficient in Python, Java, or Scala and have experience in large-scale data processing. Flexibility to work from home is offered, along with in-person meetings when necessary. The company values collaboration and inclusion in the workplace.
London-Based Senior Data Engineer, Financial Platform employer: Spotify
Contact Detail:
Spotify Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land London-Based Senior Data Engineer, Financial Platform
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already 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! If you've got a portfolio or GitHub with projects that highlight your Python, Java, or Scala expertise, make sure to share it. Real-world examples of your work can set you apart from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on your data processing knowledge. Be ready to discuss how you've built scalable data pipelines in the past. We want to see your problem-solving skills in action!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace London-Based Senior Data Engineer, Financial Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Java, or Scala, and showcases your skills in large-scale data processing. We want to see how your background aligns with the role of a Senior Data Engineer.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about building financial datasets and scalable data pipelines. Share specific examples of past projects that demonstrate your collaboration with finance and product teams.
Showcase Your Problem-Solving Skills: In your application, include instances where you've tackled complex data challenges. We love seeing how you approach problems and come up with innovative solutions, especially in a collaborative environment.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. This way, we can easily track your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Spotify
✨Know Your Tech Stack
Make sure you brush up on your skills in Python, Java, or Scala. Be ready to discuss your experience with large-scale data processing and how you've built scalable data pipelines in the past. This will show that you're not just familiar with the tools, but that you can apply them effectively.
✨Understand the Financial Context
Since this role is focused on financial datasets, take some time to understand the basics of finance and how data plays a role in it. Being able to speak the language of finance will help you connect with the team and demonstrate your commitment to the role.
✨Collaboration is Key
The company values collaboration, so be prepared to share examples of how you've worked with cross-functional teams in the past. Highlight any experiences where you collaborated with finance, product, or data teams to create reliable data products.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's data strategy and how they envision the role of a Senior Data Engineer. This shows your genuine interest in the position and helps you assess if the company culture aligns with your values, especially regarding inclusion and flexibility.
