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- Tasks: Design and develop scalable infrastructure services for Spotify's Data Platform.
- Company: Join Spotify, a leader in music streaming with a focus on innovation.
- Benefits: Flexible work options, competitive salary, and a culture of inclusivity.
- Why this job: Make an impact by solving complex data engineering challenges in a dynamic environment.
- Qualifications: Proficient in Java, SQL, and experience with data processing frameworks.
- Other info: Collaborative team atmosphere with opportunities for growth and experimentation.
The predicted salary is between 28800 - 48000 ÂŁ per year.
We’re looking for a mid-level Backend Engineer to join Spotify’s Data Platform team. We in the Data Processing Product Area, enable Spotify to solve complex and critical data engineering problems by providing a platform and tooling for the production, management and consumption of high-quality data. We are an amplifier for efficiency, quality, and innovation across Spotify. You’ll design, build and develop scalable infrastructure services and tools, and collaborate in a cross-functional team. In the DataEx squad, we are looking for a backend/data engineer to help us increase productivity, optionality and flexibility for data practitioners through scalable, portable and reliable data processing platforms.
What You’ll Do
- You’ll collaborate with product and engineering to build and support the infrastructure that empowers Spotify teams to process data to solve critical business needs.
- Increase developer productivity by building innovative tools that reduce overhead of working with data pipelines, help increase platform reliability, and are cost-efficient.
- Work with engineers with deep expertise in data and collaborate closely with squads in Spotify to drive improvements in the data processing ecosystem through support, best-practices and standards.
- Help the platform orchestrate data jobs in a seamless way, for the users not having to worry about what is happening “under the hood”.
Who You Are
- You are proficient in backend development using Java.
- You are comfortable working with big data using SQL and data analytics platforms such as BigQuery.
- You have experience with one or more higher-level JVM-based data processing frameworks such as Flink, Beam, Dataflow, Spark, etc.
- Devops is part of your day‑to‑day work and you are used to working with cloud‑based infrastructure and services, containerised applications.
- You have some experience working with Kubernetes and are familiar with its basic concepts.
- You have experience of working with data engineering pipelines in Scala and/or Python.
- Quality is important to you and you know what it means to ship high‑quality code.
- You appreciate agile software processes, and sound engineering practices like continuous delivery, defensive programming, and automated testing.
- You love working in an environment where you constantly experiment and iterate quickly. You are comfortable with ambiguity, enjoy working on open ended problems, and believe data is the most powerful tool for informed decision‑making.
Where You’ll Be
This role is based in London. We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward‑thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
Backend Engineer - Data Platform employer: Spotify
Contact Detail:
Spotify Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Backend Engineer - Data Platform
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Spotify. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Consider building a small project or contributing to open-source that showcases your backend development prowess. It’s a great way to demonstrate your abilities beyond just a CV.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of data processing frameworks and cloud services. Be ready to discuss how you’ve tackled complex problems in the past.
✨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 the team.
We think you need these skills to ace Backend Engineer - Data Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Backend Engineer role. Highlight your proficiency in Java, SQL, and any relevant data processing frameworks like Flink or Spark. We want to see how you can contribute to our Data Platform team!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your personality and passion for data engineering. Share specific examples of projects you've worked on and how they relate to the responsibilities outlined in the job description. Let us know why you're excited about joining Spotify!
Showcase Your Problem-Solving Skills: In your application, mention instances where you've tackled complex data challenges or improved processes. We love candidates who can think critically and innovate, so don’t hold back on sharing your successes in building scalable infrastructure or tools.
Apply Through Our Website: We encourage you to apply directly through our website for the best experience. This way, you’ll ensure your application gets to the right people and you can easily track your progress. Plus, it’s super straightforward!
How to prepare for a job interview at Spotify
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Java, SQL, and any data processing frameworks like Flink or Spark. Brush up on your knowledge of Kubernetes and cloud-based infrastructure, as these are crucial for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex data engineering problems. Highlight how you’ve built scalable infrastructure or tools that improved productivity and reliability. This will demonstrate your ability to contribute effectively to Spotify’s Data Platform team.
✨Emphasise Collaboration
Since the role involves working closely with cross-functional teams, be ready to talk about your experience collaborating with product and engineering teams. Share instances where you’ve driven improvements in processes or standards, showcasing your teamwork skills.
✨Be Ready for Agile Discussions
Familiarise yourself with agile methodologies and sound engineering practices. Be prepared to discuss how you’ve implemented continuous delivery, automated testing, or defensive programming in your previous roles. This will show that you appreciate quality and efficiency in software development.
