Why This Job is Featured on The SaaS Jobs
A backend role embedded in a data platform function is a core lever in modern SaaS: it shapes how product teams instrument, process, and trust data at scale. This listing stands out because the remit is explicitly platform-and-tooling oriented, focused on the “under the hood” services that make data processing dependable for internal users rather than on a single product feature surface.
For a SaaS career, platform work like this tends to compound. Building orchestration, reliability, and cost-aware infrastructure creates durable experience that transfers across subscription businesses where usage analytics, experimentation, and operational reporting are continuous. The stack signals exposure to common SaaS data patterns—JVM services, cloud data warehouses, distributed processing frameworks, and containerised operations—alongside the engineering discipline needed to ship reusable primitives other teams depend on.
The role is best suited to engineers who prefer enabling other builders and improving developer productivity through well-designed abstractions. It will appeal to someone comfortable collaborating across squads, balancing standards with pragmatism, and iterating on systems that must be portable and resilient. Candidates who enjoy a blend of backend engineering and data engineering, with DevOps as a default expectation, should find a clear fit.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
We’re looking for a mid-level Backend Engineer to join Spotify’s Data Platform team. We in the Data Processing Product Area, enable Spotify to solve complex and critical data engineering problems by providing a platform and tooling for the production, management and consumption of high-quality data. We are an amplifier for efficiency, quality, and innovation across Spotify. You’ll design, build and develop scalable infrastructure services and tools, and collaborate in a cross-functional team. In the DataEx squad, we are looking for a backend/data engineer to help us increase productivity, optionality and flexibility for data practitioners through scalable, portable and reliable data processing platforms.
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What You'll Do- You’ll collaborate with product and engineering to build and support the infrastructure that empowers Spotify teams to process data to solve critical business needs.
- Increase developer productivity by building innovative tools that reduce overhead of working with data pipelines, help increase platform reliability, and are cost-efficient.
- Work with engineers with deep expertise in data and collaborate closely with squads in Spotify to drive improvements in the data processing ecosystem through support, best-practices and standards.
- Help the platform orchestrate data jobs in a seamless way, for the users not having to worry about what is happening “under the hood”
Who You Are- You are proficient in backend development using Java.
- You are comfortable working with big data using SQL and data analytics platforms such as BigQuery.
- You have experience with one or more higher-level JVM-based data processing frameworks such as Flink, Beam, Dataflow, Spark, etc.
- Devops is part of your day-to-day work and you are used to working with cloud-based infrastructure and services, containerised applications.
- You have some experience working with Kubernetes and are familiar with its basic concepts.
- You have experience of working with data engineering pipelines in Scala and/or Python.
- Quality is important to you and you know what it means to ship high-quality code.
- You appreciate agile software processes, and sound engineering practices like continuous delivery, defensive programming, and automated testing.
- You love working in an environment where you constantly experiment and iterate quickly. You are comfortable with ambiguity, enjoy working on open ended problems, and believe data is the most powerful tool for informed decision-making.
Where You'll Be- This role is based in London
- We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
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Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
Spotify transformed music listening forever when we launched in 2008. 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 chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
