Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Engineer - Data/Backend

SoundCloud
City of London
1 week ago
Create job alert
Overview

SoundCloud is looking for a Senior Backend and Data Engineer to join our growing Content Platform team. As Backend and Data engineers at SoundCloud, we build the infrastructure for products that music listeners and creators love. Our work involves large-scale distributed systems, parallel computing, and data science. We actively improve our tools and processes to support collaboration and productivity.

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.

Responsibilities
  • Design, build, and maintain high-performance services for content modeling, serving, and integration
  • Develop data pipelines (batch & streaming) with cloud native tools
  • Collaborate on rearchitecting the content model to support rich metadata
  • Implement APIs and data services that power internal products, external integrations, and real-time features
  • Ensure data quality, governance, and validation across ingestion, storage, and serving layers
  • Optimize system performance, scalability, and cost efficiency for both backend services and data workflows
  • Work with infrastructure-as-code (Terraform) and CI/CD pipelines for deployment and automation
  • Monitor, debug, and improve reliability using various observability tools (logging, tracing, metrics)
  • Collaborate with product leadership, music industry experts, and engineering teams across SoundCloud
Qualifications / Experience
  • Proven experience in backend engineering (Scala/Go/Python) with strong design and data modeling skills
  • Hands-on experience building ETL/ELT pipelines and streaming solutions on cloud platforms (GCP preferred)
  • Proficient in SQL and experienced with relational and NoSQL databases
  • Familiarity with event-driven architectures and messaging systems (Pub/Sub, Kafka, etc.)
  • Knowledge of data governance, schema management, and versioning best practices
  • Understanding observability practices: logging, metrics, tracing, and incident response
  • Experience with containerization and orchestration (Docker, Kubernetes)
  • Experience deploying and managing services in cloud environments, preferably GCP, AWS
  • Strong collaboration skills and ability to work across backend, data, and product teams
About Us
  • We are a multinational company with offices in the US (New York and Los Angeles), Germany (Berlin), and the UK (London)
  • We provide a flexible work culture that offers the opportunity to collaborate and connect in person at our offices as well as accommodating work from home
  • We are deeply committed to ensuring diversity, equity and inclusion at all levels of our organization and fostering a community where everyone’s voice, perspective and experience is respected and heard
  • We invest in employees through mentorship, workshops and enrichment opportunities
Benefits
  • Relocation support for candidates not located in Berlin, including allowances, one-way flights, temporary accommodation, and ground support on arrival
  • Cultural and wellness benefits such as Creativity and Wellness offerings
  • Employee Equity Plan
  • Generous professional development allowance
  • Flexible vacation and public holiday policy (up to 35 days PTO annually)
  • 16 paid weeks for all parents (birthing and non-birthing), regardless of gender
  • Free German language courses at multiple levels
  • Snacks, goodies, and 2 free lunches weekly when in the office
Diversity, Equity and Inclusion at SoundCloud

SoundCloud is for everyone. Diversity and open expression are fundamental to our organization; they help us lead what’s next in music by understanding and empowering our creators and fans, no matter their identity. We acknowledge the challenges in the music industry, and strive to influence an inclusive culture where everyone can contribute respectfully and thrive, especially the historically marginalized communities that many of our creators, fans and SoundClouders identify with. We are dedicated to creating an inclusive environment at SoundCloud for everyone, regardless of gender identity, sexual orientation, race, ethnicity, migration background, national origin, age, disability status, or caregiver status.

At SoundCloud you can find your community or elevate your allyship by joining a Diversity Resource Group. Diversity Resource Groups are employee-organized groups focused on supporting and promoting the interests of a particular underrepresented community in order to build a more inclusive culture at SoundCloud. Anyone can join, whether you share the identity or strive to be an ally.

Role details
  • Seniority level: Mid-Senior level
  • Employment type: Full-time
  • Job function: Information Technology
  • Industries: Entertainment Providers

Referrals increase your chances of interviewing at SoundCloud by 2x

Get notified about new Senior Data Engineer jobs in London, England, United Kingdom.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer - Azure, BI & Data Strategy

Senior Data Engineer - Azure

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.