Data Engineer - Messaging Platform
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 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 passionate Data Engineer to help us define messaging at Spotify. You’ll be working on the messaging platform Spotify uses to communicate with our customers via email, push notifications and in-app messaging. This platform is a core component of Spotify’s growth strategy, responsible for messaging hundreds of millions of users every day and driving many key business metrics like engagement, premium subscriptions and content streams. You will be designing, building and maintaining a diverse range of different data jobs, including data jobs to schedule and target messages, analytics of different key metrics and feature sets for ML models. You will work in an applied Machine Learning team, working alongside Machine Learning engineers and Backend engineers.
What you'll do
- Design and build large-scale batch and real-time data pipelines with data processing frameworks like Scio, Dataflow and BigQuery.
- Help drive optimization, testing and tooling to improve data quality.
- Mentor and coach other engineers on data engineering best practices.
- Create, update and evangelize standards and documentation that improve the experience for people working with data at Spotify.
- Collaborate with other data, backend and ML engineers, data scientists, managers and partners.
- Be a valued member of a multi-functional agile team which continuously experiments, iterates, and delivers on new product objectives.
Who you are
- You have a strong understanding of data systems.
- You are knowledgeable and passionate about improving and building data platforms.
- You have experience with Backend engineering or an interest in developing those skills.
- You are familiar with Machine Learning and would be interested in collaborating with Machine Learning Engineers to deliver Machine Learning models into production.
- 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. Python, Scio & Luigi would be an encouraged bonus.
- You are curious about new technologies and finding uses and insights for all types of data.
- You have the desire and ability to contribute across different disciplines.
Where you'll be
- 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 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture BigQuery Dataflow Data pipelines Data quality Engineering Machine Learning ML models Pipelines Python R R&D Research Scala Spark 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 Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Data Manager jobs
- Open Sr Data Engineer jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Business Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Data Product Manager jobs
- Open Junior Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open GCP-related jobs
- Open ML models-related jobs
- Open Data management-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 Kubernetes-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open Data warehouse-related jobs
- Open Databricks-related jobs