Engineering Manager

Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Backend

In short

Som en Engineering Manager II på Spotify, kommer du att leda ett team av data- och backend-ingenjörer som bygger datakänslor, pipelines och tjänster för att förstå lyssnarnas behov och leverera mer relevanta upplevelser. Du kommer att arbeta nära produktchefer, datavetare och partners för att omvandla komplexa utmaningar till pålitliga lösningar och skapa en miljö där ingenjörer kan växa och samarbeta.

Responsibilities

Lead, support, and develop a team of data and backend engineers, creating an inclusive environment where everyone can contribute and grow.
Work with product managers, business partners, and engineering teams to set priorities and build data products that improve the subscription experience.
Guide the development of reliable, scalable data pipelines and backend services that support targeting, messaging, personalisation, and machine learning.
Help your team make informed technical decisions, balancing data quality, reliability, business needs, and long-term maintainability.
Support engineers through regular feedback, coaching, career development, and opportunities to share knowledge.
Collaborate across teams to manage dependencies, solve challenges, and 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, improve data quality, and support your team's work.

Requirements

Experience leading data or backend engineering teams and enjoy helping engineers develop their skills and careers.
Background in software or data engineering and can guide technical discussions about data architecture, distributed systems, scalability, and reliability.
Understand how to balance team development, technical decisions, and delivery priorities to achieve meaningful results.
Worked with large-scale data pipelines, data platforms, or backend services.
Experience with technologies such as Google Cloud, BigQuery, Apache Beam, Dataflow, dbt, Flyte, Airflow, Scala, or Java is valuable.
Can navigate changing priorities, make informed decisions, and help your team move forward when the path isn't always clear.
Communicate clearly and build effective partnerships with product, business, and engineering teams to turn shared goals into practical solutions.
Value different perspectives, encourage open feedback, and help create an environment where people feel respected and supported.
Curious about new technologies, including AI and automation, and enjoy finding ways to improve how teams work and deliver value.

Benefits

Extensive learning opportunities, through our dedicated team, GreenHouse.
Flexible share incentives letting you choose how you share in our success.
Global parental leave, six months off - for all new parents.
All The Feels, our employee assistance program and self-care hub.
Flexible public holidays, swap days off according to your values and beliefs.

Skills

Google CloudBigQueryApache BeamDataflowdbtFlyteAirflowScalaJava

#data products#pipelines#services#listener needs#relevant experiences#data architecture#distributed systems#scalability#reliability#AI#automation

About Spotify

Our mission is to unlock the potential of human creativity—by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by it. Spotify transformed music listening forever when it launched in Sweden in 2008. Discover, manage and share over 70m tracks for free, or upgrade to Spotify Premium to access exclusive features including offline mode, improved sound quality, and an ad-free music listening experience. Today, Spotify is the most popular global audio streaming service with 365m users, including 165m subscribers…

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