Data Engineer
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!
The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the frameworks, capabilities and tools needed to welcome a billion customers. Join us and help to amplify productivity, quality and innovation across Spotify.
The Platform department builds the technology ecosystem that enables Spotify to learn and deliver quickly, while safely and easily scaling to billion customers, and enabling our rapid employee growth around the globe. We love data and believe in a fair data driven engineering culture where we make decisions and products based on our customers demands.
We are now looking for Data engineers to join a brand new data collection team in our platform. The mission of the team is to facilitate insights through end to end management of data, and hence providing other teams and partners with excellent data quality to build their knowledge on. challenge includes making sure that we get the right information client side, ensuring the quality and consistency and delivery of said data, in order to efficiently make it available to consumers across the company.
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 with a community of more than 345 million users.
The Platform department builds the technology ecosystem that enables Spotify to learn and deliver quickly, while safely and easily scaling to billion customers, and enabling our rapid employee growth around the globe. We love data and believe in a fair data driven engineering culture where we make decisions and products based on our customers demands.
We are now looking for Data engineers to join a brand new data collection team in our platform. The mission of the team is to facilitate insights through end to end management of data, and hence providing other teams and partners with excellent data quality to build their knowledge on. challenge includes making sure that we get the right information client side, ensuring the quality and consistency and delivery of said data, in order to efficiently make it available to consumers across the company.
What you'll do
- Be part of a data engineering team dedicated to empower engineers across Spotify to work with data.
- Take active part in discussions and knowledge sharing around metrics, SQL, data science and engineering in general
- Work in multi-functional agile teams to continuously experiment, iterate and deliver on new product objectives.
- Increase developer productivity by building innovative tools that reduce maintenance overhead of working with data pipelines and help increase platform reliability.
- Develop in different technologies and languages ranging from Java and Scala to Python and optimizing SQL.
- Build large-scale batch and real-time data pipelines with data processing frameworks like Scio and the Google Cloud Platform.
- Use standard methodologies in continuous integration and delivery
Who you are
- You have experience working with data engineering and a deep understanding of that problem space.
- You know and care about sound engineering practices like continuous delivery, defensive programming and automated testing
- You are comfortable working both independently and collaboratively (pairing and mobbing)
- You are pragmatic and understand the tradeoffs between the perfect solution and a working solution.
- You appreciate agile software processes, data-driven development, reliability, and responsible experimentation.
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 with a community of more than 345 million users.
Tags: Agile Data pipelines Engineering GCP Google Cloud Pipelines Python Scala SQL Streaming Testing
Perks/benefits: Career development
Region:
Europe
Country:
Sweden
Job stats:
9
3
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.
- Open Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open AI Engineer jobs
- Open Senior Data Architect jobs
- Open Junior Data Scientist jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Power BI Developer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Principal Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Product Data Analyst jobs
- Open Business Data Analyst jobs
- Open Data Manager jobs
- Open Data Quality Analyst jobs
- Open Sr. Data Scientist jobs
- Open Data Scientist II jobs
- Open Big Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Analyst Intern jobs
- Open Principal Data Scientist jobs
- Open ETL Developer jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open Privacy-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open APIs-related jobs
- Open PyTorch-related jobs
- Open PhD-related jobs
- Open TensorFlow-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Data warehouse-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open DevOps-related jobs
- Open Kubernetes-related jobs