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Within the Data Platform studio, we own two critical pillars: our event delivery platform that collects trillions of events per day from producers to consumers, and another, which handles the pseudonymisation of data so Spotify can use data responsibly and in compliance with privacy regulations. These systems sit at the heart of Spotify's data collection and are used by hundreds of teams across the company. We're looking for an Engineering Manager to lead a team of six experienced engineers distributed across Europe. You'll set the technical direction, ensure the team delivers high-impact work, and - just as importantly - invest deeply in the growth and careers of your engineers. If you're energised by both the technical challenges of large-scale data systems and the human side of building a high-performing team, we'd love to hear from you.

The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work, creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers. Our team builds Groove, a platform that helps thousands of employees plan, coordinate, and deliver work across Spotify. From initiative tracking to dependency management and collaborative planning, Groove helps teams stay aligned and execute with confidence. We're a small, cross-functional engineering team focused on building thoughtful tools that reduce friction and help people do their best work. We move quickly, learn from user feedback, and continuously improve the experiences we build.

As the Engineering Manager of the Oasis Squad, you’ll lead a multidisciplinary team of machine learning, data, and backend engineers building ML systems at the heart of how Spotify shapes and delivers music experiences. Oasis needs a people leader with significant technical machine learning depth who can help the team navigate complex technical strategy, shifting business needs, and high-impact cross-functional decisions. A great manager for this team will give experienced engineers meaningful autonomy while staying deeply engaged in their technical work. You’ll have the ML expertise to assess technical tradeoffs, steer the team toward decisions, and represent its technical direction with senior partners across Personalization, Product, and the music business. This is a role for someone who enjoys being close to both the people and the work: coaching engineers, creating clarity amidst constant change, and enabling a high-performing team to move quickly without adding unnecessary process. If this role excites you but you don't meet every requirement, we'd still love to hear from you. We welcome candidates from all backgrounds.

The Music Mission team owns Spotify's end to end proposition for music creators and the experiences they create for fans. The organization is dedicated to building tools and services to enable creation, promotion, expression, and monetization at scale. Our team makes music videos easy for fans to discover and meaningful for artists, powered by scalable, intelligent infrastructure that grows with our catalog. We're building personalized music video playlists, sorting videos into meaningful categories, and learning which videos listeners are most likely to love, then helping that content reach the right people. As a Backend Engineer, you'll help shape how millions of listeners experience music videos on Spotify, working alongside Data Engineers, Backend Engineers, and partners across product and design.

Every dataset at Spotify, from the data behind creator royalties to the signals powering recommendations, is registered, published and traced through systems our team builds. We're the source of truth for what data exists at Spotify, where it lives, who owns it, and how it flows from one pipeline to the next. These systems sit on the critical path of the platform. Data teams use them every day to publish and find data, and other platform teams build on them for access, retention, governance and incident response. That means our work is judged on correctness and reliability, because every system built on top of ours is only as good as the metadata we provide. This is a backend role focused on data management, working on the problems at the core of any large data platform: running a data catalog that stays accurate at scale, capturing lineage across batch and streaming workloads, managing schemas as they evolve, and guaranteeing that consumers only read complete data. We build on open standards like OpenLineage and Apache Iceberg, and define the internal standards for naming, storage and metadata that the rest of Spotify builds against. As the platform takes on new storage technologies and new kinds of data assets, those standards and the systems behind them have to evolve with it, and you'll help decide how.

The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers. Security engineers at Spotify protect our platform, employees, creators, and more than 700 million users. We are looking for an experienced Security Engineer to join the Detection and Response organization and help identify, investigate, and respond to threats across Spotify's environment. You will work within our detection engineering squad where the team owns alert triage, security investigations, threat hunting, and the detection engineering lifecycle. You will turn threat intelligence, incident learnings, and analyst feedback into effective detections and investigation workflows. You will partner closely with the detection infrastructure squad, which builds and operates Detection and Response platforms and telemetry pipelines, and with teams across Spotify to make sure your squad has the signals and capabilities needed to detect and respond to threats at Spotify's scale. We are a distributed team that values curiosity, sound judgment, clear communication, and continuous learning. We teach and learn from one another, adapt as the threat landscape changes, and focus our effort according to business needs and risk.

As the EM for Bonfire Squad you’ll lead a passionate full stack team of senior engineers building a high-impact artist promotion tool’s campaign management system and new features for our customers. Bonfire needs a people leader who will leverage the talent and opinions of a senior-heavy squad to build great products and systems effectively together. A great manager for this team will have the technical depth and product thinking to make and explain decisions around the roadmap, project staffing, and cross-functional partnerships. You’ll build trust with your team and cross functional partners by being transparent about what you’ll do and following through. This is a role for someone who enjoys being close to both the people and the work: coaching experienced engineers, creating clarity, and engaging credibly in technical and product discussions. We encourage applicants from all backgrounds, including those who may not meet every requirement listed

The Experience team designs Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify. The Content Intelligence Product Area is a core part of Spotify’s Content Platform within the Experience mission. We build systems that create deep, machine-readable understanding of content across audio, video, text, and images before it reaches users. This enables automation, safety, and entirely new product experiences. Our work powers content enrichment, quality analysis, annotation platforms, and scalable intelligence systems that allow teams across Spotify to build without needing direct content understanding expertise. We’re looking for a Senior Backend Data Engineer to help build and scale the systems powering content understanding across Spotify. This role sits at the intersection of backend engineering, distributed data systems, ML infrastructure, and applied AI. You’ll take end-to-end ownership of significant engineering problems while working alongside other Engineers.