Senior Data Engineer - User Platform
London
Applications have closed
Spotify
We grow and develop and make wonderful things happen together every day. It doesn't matter who you are, where you come from, what you look like, or what music you love. Join the band!
User Platform (UP) is a tribe in Spotify's Platform mission. The Platform mission is responsible for building the tooling and support platforms for the engineering teams at Spotify. UP owns the platforms for authentication, authorization, user account data and user experience configuration at Spotify.
We are looking for talented, engaged software engineers to join our teams who are passionate about working on large and highly available data sets that form the backbone of our product experience for hundreds of millions of users across the globe. At peak, we serve >2m requests per second to power tens of teams within Spotify and handle serving >3TB of user data to live services. You will also be able to innovate to build better, more flawless user experiences to help users access Spotify.
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.
Global COVID and Vaccination DisclosureSpotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.
We are looking for talented, engaged software engineers to join our teams who are passionate about working on large and highly available data sets that form the backbone of our product experience for hundreds of millions of users across the globe. At peak, we serve >2m requests per second to power tens of teams within Spotify and handle serving >3TB of user data to live services. You will also be able to innovate to build better, more flawless user experiences to help users access Spotify.
What you’ll do
- Work in multi-functional agile teams with end-to-end responsibility for product development and delivery within your organization.
- Explore new ways of producing, processing, and analyzing data in order to unlock insights into both our users and our product features
- Design, develop, and test data-driven products and features
- Work with state-of-the-art data processing frameworks, technologies, and platforms
- Improve data quality through testing, tooling, and continuously evaluating performance
- Work with other software engineers, data scientists, and decision-makers, such as engineering and product managers, to build solutions and gain novel insights.
- Act as the bridge between our Engineering and Insights team and work on data cataloging/management and build/maintain crucial data pipelines
Who you are
- You have at least 3+ years of hands-on experience working with data engineering.
- You are knowledgeable and driven about software engineering. We use languages such as Python, Java, Scala, and SQL combined with various cloud solutions. Although you might not have a background in our field, bringing knowledge and experience from other fields is merited.
- You have experience with JVM-based data processing frameworks such as Beam, Spark, and Flink. You understand their APIs and can debug their internals
- You care deeply about bringing software alive in an agile way, reliability, and responsible experimentation as well as being a strong advocate for engineering best practices such as continuous integration and delivery.
- You have a proven understanding of data modeling, data access, data storage, caching, replication, and optimization techniques.
- You understand the value of collaboration within teams. You become comfortable with asynchronous communication, being able to work independently while always sharing context with your team members.
- Experience with backend engineering is a plus.
- A proven understanding of Kubernetes (GKE) is a plus.
Where you'll be
- We are a distributed workforce enabling our band members to find a work mode that is best for them!
- Where in the world? For this role, it can be within the EMEA region in which we have a work location and is within working hours.
- Working hours? We operate within the Central European and GMT time zones for collaboration and ask that all be located in that time zone.
- Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
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.
Global COVID and Vaccination DisclosureSpotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs Data pipelines Data quality Engineering Flink Kubernetes Pipelines Python Scala Spark SQL Streaming Testing
Region:
Europe
Country:
United Kingdom
Job stats:
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Category:
Engineering Jobs
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