- Company: Spotify
- Location: London
- Job type: Permanent
✅ Visa sponsor check: Spotify Limited (London) is on the UK Home Office register of licensed sponsors for Global Business Mobility: Senior or Specialist Worker, Skilled Worker (A rating), checked 30 October 2026. Being a licensed sponsor doesn’t guarantee sponsorship for this role: confirm it with the employer, and never pay anyone for a Certificate of Sponsorship.
About the role
Spotify’s Subscriptions organisation focuses on helping listeners discover value, choose the right plan, and maintain their connection with the platform. You will join as an Engineering Manager II to lead a team of data and backend engineers. Your goal is to build data products, pipelines, and services that help the business understand listener needs and deliver relevant experiences. You will work closely with product managers, data scientists, and business partners to turn complex challenges into reliable solutions while fostering an environment where engineers can grow and collaborate.
Responsibilities
- Lead, support, and develop a team of data and backend engineers, creating an inclusive environment for growth.
- Collaborate with product managers and business partners to set priorities and build data products that enhance the subscription experience.
- Guide the development of reliable, scalable data pipelines and backend services for targeting, messaging, personalisation, and machine learning.
- Help the team make informed technical decisions, balancing data quality, reliability, business needs, and maintainability.
- Support engineers through regular feedback, coaching, and career development opportunities.
- Manage cross-team dependencies and collaborate to build shared data solutions.
- Improve engineering practices, including service reliability, sustainable on-call processes, and responsible data management.
- Explore opportunities to use AI and automation to simplify workflows and improve data quality.
Requirements
- Experience leading data or backend engineering teams and helping engineers develop their skills.
- A background in software or data engineering, with the ability to guide discussions on data architecture, distributed systems, scalability, and reliability.
- Experience with large-scale data pipelines, data platforms, or backend services.
- Knowledge of technologies such as Google Cloud, BigQuery, Apache Beam, Dataflow, dbt, Flyte, Airflow, Scala, or Java is valuable.
- Ability to navigate changing priorities and make informed decisions when the path is unclear.
- Strong communication skills to build effective partnerships with product, business, and engineering teams.
- A commitment to inclusivity, encouraging open feedback, and supporting a respectful workplace.
- Curiosity about new technologies, including AI and automation.
Pay and benefits
The job ad does not specify a salary range or detailed benefits package. However, Spotify offers the flexibility to work within the EMEA region (excluding France) as long as there is a work location. The team operates within the Central European and GMT time zones for collaboration. Spotify is an equal opportunity employer and provides reasonable accommodations during the recruitment process upon request.
How to apply
Apply directly on Spotify’s own careers website. Omadaily never charges job seekers.
