Senior Data Engineer - Experience Mission
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!We are looking for an engaged and enthusiastic Senior Data Engineer to join one of our Experience Mission departments! Our teams within the Experience Mission are responsible for all of Spotify’s consumer experiences across our mobile apps as well as platforms like desktop, web, TVs, smart-speakers, cars, wearables, and partner application integrations to make Spotify available wherever our users are. We are hiring data engineers who are passionate about building structured, high-quality data solutions. These solutions will be used to evolve our products, bringing better experiences to Spotify users and the global artist community alike. We process petabytes of data using tools such as GCP and its products suite such as BigQuery, Dataflow and Pub/sub. We are also known to write our own open source software to cater for our needs, such as Scio, a Scala API wrapper for Apache Beam.
What you'll do
- Build large-scale batch and real-time data processing systems with Scala, and cloud platforms.
- Facilitate and drive collaboration with other software engineers, data scientists, and decision-makers, such as product managers, to build exceptional data powered products.
- Evolving our data pipelines towards technical excellence by improving data quality through testing, tooling and continuously evaluating performance at scale.
- Perform root cause analysis on data and processes in order to answer business questions and find opportunities for improvement.
- Continuously improving our code bases by working with innovative data processing frameworks, technologies, and platforms.
- Work in multi-functional teams with end-to-end responsibility for product development and delivery within the mission.
- Be a technical leader within the team you work with and within Spotify in general.
- Share knowledge, promote standard methodologies, making your team the best version of itself through mentorship and constructive accountability.
Who you are
- 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 working with high volume heterogeneous data, preferably with data processing frameworks like Apache Beam, Apache Spark, Apache Flink.
- You have strong analytical skills and love to visualize your data findings in a clear and easy to understand way and to collect corner cases of implementations.
- You care deeply about agile software processes, 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, and data storage, caching, replication, and optimization techniques.
- You understand the value of collaboration within teams. You are comfortable with asynchronous communication, being able to work independently while always sharing context with your team members.
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 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 BigQuery Dataflow Data pipelines Engineering Flink GCP Open Source Pipelines Python Scala Spark SQL Streaming Testing
Perks/benefits: Equity
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