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Data Engineer, Personalization

extra holidays - extra parental leave

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

United Kingdom, Sweden

Offer summary

Qualifications:

Strong knowledge of Scala, Experience in JVM-based data processing frameworks, Proficient in Kubernetes for Java apps, Familiarity with Docker and related tools, Understanding of machine learning principles.

Key responsabilities:

Build large-scale data pipelines
Develop and deploy Java services
Work on user-specific machine learning projects
Collaborate with engineers and stakeholders
Deliver high-quality, maintainable code

Spotify XLarge https://www.lifeatspotify.com/

5001 - 10000 Employees

HQ: Stockholm

See more Spotify offers

Job description

The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music and podcasts better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search as well as original playlists such as Made For You, Discover Weekly and Daily Mix.

We are looking for a Data engineer with backend experience to join our team. We are at the forefront of development for Spotify’s recommendation systems, which power personalized content across music, podcasts, and audiobooks. This is a unique opportunity to help develop and shape the way Spotify recommendations work. You’ll be able to grow your skills in engineering at scale, drive a ton of business impact, and join a high-energy, positive team environment!

Join us and you’ll keep millions of users listening to great recommendations every day.

What You'll Do

Build large-scale data pipelines with data processing frameworks like Scio, BigQuery, Google Cloud Platform and Apache Beam

Develop, deploy, and operate Java services that impact millions of users

Work on machine learning projects powering the experience that suits each user individually

Collaborate with other engineers, product managers and stakeholders, taking on learning and leadership opportunities that will arise every single day

Deliver scalable, testable, maintainable, and high-quality code

Share knowledge, promote standard methodologies, making your team the best version of itself through mentorship and constructive accountability.

Who You Are

You know Scala well and are interested in spreading this knowledge in the team

You have experience with one or more higher-level JVM-based data processing frameworks such as Beam, Dataflow, Crunch, Scalding, Storm, Spark, Flink etc

You are experienced in deploying and operating Kubernetes based Java applications along with strong knowledge of DevOps best practicesYou have worked with Docker as well as Flyte, Luigi, Airflow, or similar tools

You have familiarity and knowledge of machine learning principles

You understand quality and you know what it means to ship high quality code

You care about agile software processes, data-driven development, reliability, and responsible experimentation

You understand the value of collaboration and partnership within teams

Where You'll Be

This role will be located in our London or Stockholm office