Senior Data Engineer - Customer Journey

Stockholm

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!

View company page

The Freemium R&D team oversees the entire user journey on Spotify and ensures we engage with people in innovative ways, every step of the way. Our team grows Spotify’s audience by finding future listeners around the world and delivering the right value to them, at the right time. With research, product development, product design, engineering, and marketing all collaborating in one organization, we’re able to quickly create meaningful features and services for millions of people around the world, resulting in joyful, long-lasting relationships with Spotify.
We are looking for a Senior Data Engineer to join a team of versatile engineers that craft libraries, tooling and the infrastructure supporting data processing at Spotify.We research and develop state of the art solutions, collaborating with other teams to evolve a robust and reliable platform. Our platform is built to enable data practitioners to solve complex technical challenges, while providing an awesome developer experience, enforcing standards and making sure data workflows run reliably and efficiently.

What you'll do:

  • Build large-scale batch and real-time data pipelines with data processing frameworks like Scio, Google Cloud Dataflow and Google Cloud BigQuery and help drive optimisation, testing and tooling to improve data quality.
  • You will create and update and evangelize standards and documentation that improve the experience for people working with data at Spotify.
  • Be a valued member of an autonomous, cross-functional agile team with Backend, Data and Client engineers.

Who you are:

  • You have a strong understanding of data systems.
  • You are knowledgeable and passionate about improving and building data platforms.
  • You are Data centric (able to morph between a Data Engineer and Data Scientist).
  • You are familiar with current engineering practices such as distributed architecture.
  • You have experience with one or more higher-level JVM-based data processing frameworks such as Beam, Dataflow, Crunch, Scalding, Storm, Spark.
  • You will have experience working with Scala and Java, Scio & Luigi would be an encouraged bonus.
  • You are curious about new technologies and finding uses and insights for all types of data.
  • Desire and ability to make contribute across different disciplines.

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.
  • 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.
  • Working hours? We operate within the Central European time zone for collaboration.
  • We ask that our team members be located within Greenwich Mean time zone, Central European time zone, or Eastern European standard time zone for the purposes of our collaboration hours.
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.
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 BigQuery Dataflow Data pipelines Engineering GCP Google Cloud Pipelines R R&D Research Scala Spark Streaming Testing

Region: Europe
Country: Sweden
Job stats:  2  0  0
Category: Engineering Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.