Android Engineer

Jobtailor; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

Spotify in London is seeking a mobile engineer to develop Android and iOS components in Kotlin, contributing to data-heavy royalty reporting and personalization.

You will collaborate with Android, iOS, backend and data teams to deliver end-to-end solutions, while improving architecture and system reliability.

The role emphasizes modern tooling, AI-assisted coding, and a culture of learning and excellence, with opportunities to grow in a large-scale product environment.

Qualifications

• Experience developing Android apps using Kotlin for production.
• Ability to build maintainable, scalable, tested software.
• Able to learn quickly in large codebases.
• Experience collaborating with multi-team engineers.
• Care about code quality, testing, docs, and maintainability.
• Curious, owns initiatives and expands beyond core area.
• Comfortable with AI-assisted tooling and modern development practices.
• Familiarity with C++ native integration and analytics concepts.

Responsibilities

• Develop and maintain mobile client components that capture and report signals across Spotify.
• Build high-quality, well-tested Kotlin code for datasets used in royalty reporting, analytics, experimentation, and personalization.
• Collaborate with Android, iOS, backend, and data teams to deliver end-to-end solutions.
• Improve architecture, reliability, and quality of systems used to collect and process user behavior signals.
• Contribute to new capabilities enabling richer listening and engagement signals across product experiences.
• Drive improvements for easier event reporting integration and maintenance.
• Use AI-assisted engineering tools to boost productivity and software quality.
• Foster a culture of continuous learning, knowledge sharing, and technical excellence.

Skills

Android

Kotlin

iOS development

Code quality

Testing

Documentation

Cross-team collaboration

AI tooling

Telemetry

Large-scale apps

Job description

Responsibilities

• Develop and maintain mobile client components that capture and report listening and user behavior signals across Spotify.
• Build high-quality, well-tested, and well-documented Kotlin code that contributes to business-critical datasets used for royalty reporting, analytics, experimentation, and personalization.
• Collaborate with engineers across Android, iOS, backend, and data teams to deliver end-to-end solutions.
• Help improve the architecture, reliability, and quality of the systems used to collect and process user behavior signals.
• Contribute to new capabilities that enable Spotify to capture richer listening and engagement signals across evolving product experiences.
• Drive technical improvements that make it easier for teams across Spotify to add, validate, and maintain event reporting integrations.
• Use modern AI-assisted engineering tools and workflows to improve productivity and software quality.
• Contribute to a culture of continuous learning, knowledge sharing, and technical excellence.

Qualifications

• You have experience developing Android and iOS applications using Kotlin with Swift or Objective-C.
• You know how to build maintainable, scalable, and well-tested software systems.
• You are comfortable working within large codebases and can quickly learn unfamiliar domains and technologies.
• You have experience collaborating with engineers and stakeholders across multiple teams.
• You care about code quality, testing, documentation, and long-term maintainability.
• You demonstrate curiosity, ownership, and a willingness to step outside your immediate area of expertise when needed.
• You are comfortable using modern development tooling, including AI-assisted coding solutions.
• You thrive in environments where learning and long-term growth are valued.
• You might have experience with C++ and understand how native code integrates with Android and iOS applications.
• You might have familiarity with SQL, analytics systems, or data engineering concepts.
• You have experience with instrumentation, telemetry, event collection, or large-scale client-side data systems.
• You have worked on mobile applications that operate at significant scale and reliability requirements.