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- Tasks: Design and implement scalable data pipelines to power music insights.
- 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 cloud experience preferred.
- 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 in London 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 in London
✨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, GCP tools, and coding in Go or Scala. Practising common interview questions can help you feel more confident.
✨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 in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with data pipelines, cloud environments, and any relevant technologies like Go, Scala, or GCP. We want to see how your skills align with what we do at SoundCloud!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our Data Platform team. Don’t forget to mention specific projects or experiences that showcase your problem-solving skills.
Showcase Your Technical Skills: In your application, be sure to highlight your technical expertise, especially in designing scalable data systems and working with tools like Kafka, Spark, or Terraform. We love seeing candidates who are hands-on and ready to tackle challenges head-on!
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’re considered for the role. Plus, it shows you’re serious about joining the SoundCloud family!
How to prepare for a job interview at SoundCloud Ltd
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, like Go, Scala, and Google Cloud Platform. Be ready to discuss your experience with these tools and how you've used them to build scalable data pipelines.
✨Showcase Problem-Solving Skills
Prepare examples of challenging technical problems you've solved in the past. Highlight your thought process and the trade-offs you considered when making decisions, especially in large-scale data infrastructure.
✨Engage in Architecture Discussions
Be prepared to discuss architectural decisions and improvements you've made in previous roles. Show that you're comfortable contributing to discussions about system design and can articulate your ideas clearly.
✨Ask Insightful Questions
Prepare thoughtful questions about SoundCloud's data platform and its challenges. This shows your genuine interest in the role and helps you understand how you can contribute to their mission of empowering artists.
