Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement scalable data pipelines and services for real-time data processing.
- Company: Join SoundCloud, the leading platform connecting artists and fans through music.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Be part of a team that drives data-driven decisions in the music industry.
- Qualifications: 3+ years in back-end engineering with experience in cloud data processing.
- Other info: Collaborative environment with a focus on innovative solutions and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
SoundCloud empowers artists and fans to connect and share through music. Founded in 2007, SoundCloud is an artist-first platform empowering artists to build and grow their careers by providing them with the most progressive tools, services, and resources. With over 400+ million tracks from 40 million artists, the future of music is SoundCloud.
We’re looking for a Senior Data Engineer to join our Data Platform team, which is responsible for the efficient, reliable, secure, and compliant propagation of all datasets across the company to our data warehouses. At SoundCloud, we rely heavily upon data-driven, informed decision making, and the Data Platform team is key to enabling that.
Key Responsibilities:- The Data Platform team cooperates mostly with infrastructure engineering on the back-end side, taking care of all the integrations, and builds software to make the data flow from the source into the data warehouse or the system which transforms data in real time.
- As a Data Engineer at SoundCloud, you will be experienced in designing and implementing highly scalable, distributed, real-time data pipelines and developing highly scalable and secure data services in languages like Go, Scala, and Java.
- We also use Google Cloud Platform (DataFlow, BigTable, AI Platform, BigQuery, Kafka, Kubernetes, Spark, Airflow, Terraform).
- The ideal candidate will have 3+ years of experience in back-end engineering including 1-2 years of experience setting up data processing pipelines, ideally in the cloud environment (GCP).
- Experience designing and implementing (real-time) data processing systems, facilitating technical decisions, considering technical tradeoffs.
- You are a strong individual contributor driven by solving challenging technical problems.
- You are comfortable participating in architecture discussions, planning new and improving existing solutions.
- You are comfortable with large scale data infrastructure (PBs scale). You understand the tradeoffs that come with it.
- Experience with Cloud Migrations.
- Experience deploying ML models in production.
- Experience with DevOps tools and technologies.
Senior Data Engineer - Data / Backend employer: SoundCloud Ltd
Contact Detail:
SoundCloud Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Data / Backend
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already at SoundCloud. A friendly chat can open doors and give you insider info on what they're really looking for.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects that highlight your data engineering prowess, make sure to share it. Real-world examples of your work can speak volumes.
✨Tip Number 3
Prepare for the technical interview! Brush up on your knowledge of data pipelines, cloud services, and the tools mentioned in the job description. We want to see how you tackle real-time data challenges.
✨Tip Number 4
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 SoundCloud team.
We think you need these skills to ace Senior Data Engineer - Data / Backend
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your experience with data pipelines, cloud environments, and any relevant programming languages like Go or Scala.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our Data Platform team. Share specific examples of past projects that showcase your problem-solving skills and technical expertise.
Showcase Your Technical Skills: Don’t shy away from listing your technical proficiencies! Mention your experience with tools like Google Cloud Platform, Kafka, and Spark. We want to see how you’ve used these technologies in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at SoundCloud Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Go, Scala, and Java. Brush up on your experience with Google Cloud Platform tools such as DataFlow and BigQuery, as they’ll likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially related to data processing pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how you tackled complex technical problems.
✨Understand the Company’s Mission
Familiarise yourself with SoundCloud’s mission to empower artists and fans. Be ready to explain how your role as a Senior Data Engineer can contribute to this mission, particularly in terms of enhancing data-driven decision-making across the company.
✨Engage in Architecture Discussions
Since the role involves participating in architecture discussions, prepare some thoughtful questions or insights about data infrastructure. This shows your enthusiasm for collaboration and your understanding of the trade-offs involved in large-scale data systems.
