Taro Logo

Data Engineer - Commerce Platform

Global music and audio streaming platform
London, UKStockholm, Sweden
Data
Mid-Level Software Engineer
Hybrid
5,000+ Employees
3+ years of experience
Consumer · Enterprise SaaS

Description For Data Engineer - Commerce Platform

Join Spotify's commerce platform team as a Data Engineer focusing on revenue protection and misuse prevention. This role is crucial in designing and implementing core capabilities to identify and prevent misuse across all plans and services. You'll be working with cutting-edge technologies like DBT and Scio to build robust data pipelines, while collaborating with cross-functional teams to ensure platform stability. The position offers the flexibility of hybrid work in either London or Stockholm, operating in the Central European/GMT time zone. You'll be part of a team that values technical excellence, innovation, and cross-functional collaboration, working on systems that directly impact Spotify's business integrity. This is an opportunity to work with large-scale data systems at one of the world's leading streaming platforms, where your work will directly contribute to protecting revenue and ensuring service quality for millions of users worldwide. The role combines technical expertise in data engineering with business impact, offering exposure to both engineering excellence and strategic business objectives.

Last updated 17 days ago

Responsibilities For Data Engineer - Commerce Platform

  • Maintain and improve data pipelines, including SOX-compliant processes
  • Design and build robust data pipelines using DBT and Scio
  • Collaborate with product and engineering to enable a strong portfolio for addressing plan misuse
  • Work with stakeholders to understand data requirements and ensure alignment
  • Continuously assess and improve data pipelines and systems
  • Evaluate and implement Spotify standard technologies

Requirements For Data Engineer - Commerce Platform

Python
Java
Scala
  • Proven experience in data engineering, including creating reliable data pipelines using DBT and Scio
  • Proficient in SQL and programming languages like Scala or Python
  • Experience in building and maintaining scalable backend systems using Java
  • Knowledge of cloud-based data platforms (AWS, GCP, or Azure)
  • Strong collaboration and communication skills
  • Strong problem-solving and critical thinking skills
  • Familiarity with A/B testing frameworks and experimentation platforms

Interested in this job?

Jobs Related To Spotify Data Engineer - Commerce Platform

Data Engineer - Learning infrastructure

Data Engineer position at Spotify focusing on building and maintaining machine learning infrastructure, requiring 3+ years of experience in Python, Java, or Scala.

Data Engineer (L4) - Security

Data Engineer position at Netflix focusing on security infrastructure and data pipeline development using Spark, Presto, and Kafka, offering competitive compensation.

Big Data Analytics Developer

Big Data Analytics Developer position at Citi in Chennai, focusing on data engineering and analytics development.

Analytics Solutions Engineer

Analytics Solutions Engineer position at Oowlish Technology, implementing and maintaining data tracking systems and analytics solutions.

Analytics Engineer (Remote - Brazil)

Analytics Engineer position at Loadsmart, a unicorn logistics tech company, offering remote work in Brazil with competitive salary, equity, and the opportunity to build data warehousing systems and analytics solutions.