
About Spotify
The ultimate destination for music and podcasts
Key Highlights
- 180 million+ paying subscribers worldwide
- $2.1 billion raised in Series G funding
- Acquired Gimlet Media, Anchor, and Parcast for podcasting
- Headquartered in Norrmalm, Stockholm with 1001+ employees
Spotify, headquartered in Norrmalm, Stockholm, is a leading commercial music streaming service with over 180 million paying subscribers globally. Founded to combat music piracy, Spotify has raised $2.1 billion in funding and is currently in its Series G stage. The platform not only offers a vast cat...
๐ Benefits
Spotify offers global parental leave with six months of fully paid time off for new parents, flexible public holidays to align with personal values, a...
๐ Culture
Spotify's culture is rooted in its mission to support creative artists while providing an accessible platform for fans. The company values innovation ...
Skills & Technologies
Overview
Spotify is seeking a Mid-Level Data Engineer to join their Finance Engineering organization. You'll build and operate data systems for financial forecasting and performance analysis, utilizing skills in Python, SQL, and machine learning.
Job Description
Who you are
You have a solid background in data engineering, with experience in building and maintaining data pipelines that ensure high data quality and reliability. Your expertise in Python and SQL allows you to manipulate and analyze large datasets effectively, and you are familiar with statistical modeling and machine learning techniques that enhance data-driven decision-making.
You understand the importance of data integrity and have a keen eye for detail, ensuring that the systems you build are not only functional but also maintainable in the long term. You thrive in collaborative environments, working closely with cross-functional teams to deliver insights that drive business performance.
Desirable
Experience with cloud platforms such as AWS or GCP is a plus, as is familiarity with tools like Apache Airflow for orchestrating data workflows. You are comfortable working in a fast-paced environment and are eager to learn and adapt to new technologies as they emerge.
What you'll do
As a Data Engineer at Spotify, you will be part of the Crunch squad, responsible for building and operating data systems that power financial forecasting and performance analysis. You will design and implement data pipelines that integrate various data sources, ensuring that the data is accurate and readily available for analysis.
You will collaborate with data scientists and analysts to develop statistical and machine learning models that provide insights into financial performance. Your role will involve optimizing existing data processes and identifying opportunities for improvement to enhance the overall efficiency of the data systems.
You will also be responsible for maintaining the infrastructure that supports these data systems, ensuring that they are scalable and reliable. This includes monitoring system performance and troubleshooting any issues that arise, as well as documenting processes and best practices to facilitate knowledge sharing within the team.
What we offer
Spotify offers a dynamic work environment where innovation is encouraged, and your contributions will have a direct impact on the company's financial operations. You will have the opportunity to work with cutting-edge technologies and collaborate with talented professionals who are passionate about data and its role in driving business success.
We believe in fostering a culture of continuous learning and development, providing you with the resources and support needed to grow your skills and advance your career. Join us at Spotify and be part of a team that is shaping the future of financial engineering through data-driven insights.
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