Summer Internship, Data Engineer | Experience Mission (EMEA)
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!Spotify is looking for a Data Engineering Intern to join us this Summer. You will build data driven solutions to bring audio and digital media experiences to our millions of active users and artists either by working directly on product features, publishing and insight tools for artists, or by improving the quality of our data tools and large scale data infrastructure. You will take on complex data-related problems using some of the most diverse datasets available — user behaviours, acoustical analysis, revenue streams, cultural and contextual data, and other signals across our broad range of mobile and connected platforms. Above all, your work will impact the way the world experiences audio.
What you'll do
- Build large-scale batch and real-time data pipelines with data processing tools like Scala/Scio, SQL and the Google Cloud Platform.
- Perform complex analyses to understand anomalies and improve the quality of our datasets.
- Help drive optimization, testing and tooling to improve data quality.
- Collaborate with other engineers, ML experts and stakeholders, taking learning opportunities that will arise every single day.
- Work in cross functional agile teams to continuously experiment, iterate and deliver on new product objectives.
Who you are
- You are pursuing a Bachelor’s or Master’s degree or a bootcamp certification in Computer Science or Computer Engineering or a related field of study.
- You have a graduation date of 2023 or 2024
- You currently have valid work authorization to work in the country in which this role is based that will extend from June to August 2023
- You’ve dabbled in high volume data, preferably with distributed systems such as Hadoop, BigTable, and Cassandra.
- You know how to write distributed, high-volume services in Java or Scala.
- You have experience using advanced SQL to deep dive into complex datasets
- You’ve had exposure to data modeling, data access, and data storage techniques.
- You have an interest in agile software processes, data-driven development, reliability, and responsible experimentation.
- You understand the value of collaboration within teams.
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 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.
Tags: Agile Bigtable Cassandra Computer Science Data pipelines Data quality Distributed Systems Engineering GCP Google Cloud Hadoop Java Machine Learning Pipelines Scala SQL Streaming Testing
Perks/benefits: Career development
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.
- Open AI Engineer jobs
- Open MLOps Engineer jobs
- Open Data Science Manager jobs
- Open Data Engineer II jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Sr Data Engineer jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Junior Data Scientist jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Scientist II jobs
- Open Senior Data Architect jobs
- Open Product Data Analyst jobs
- Open Business Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Analyst Intern jobs
- Open Data Quality Analyst jobs
- Open Junior Data Engineer jobs
- Open Data Product Manager jobs
- Open Azure Data Engineer jobs
- Open ETL Developer jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Privacy-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Snowflake-related jobs
- Open Consulting-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Kubernetes-related jobs
- Open Airflow-related jobs
- Open Data warehouse-related jobs
- Open LLMs-related jobs
- Open Databricks-related jobs
- Open Hadoop-related jobs