Data Engineer

Audiowell Stockholm



About Audiowell

Audiowell was founded with a vision to empower creators, providing them the opportunity to produce top-notch mood music and elevate the overall standard of the genre. Andreas Romdhane and Josef Svedlund, the visionaries behind the company, have a track record of significant success, having worked with notable artists like Diana Ross, Kelly Clarkson and Westlife.

Today, Audiowell takes pride in supporting a vast and diverse network of music creators worldwide, connecting with millions of listeners globally. Looking ahead, Audiowell is dedicated to expanding its creator network by discovering fresh, unique talent across the globe.

In their continued journey of expansion, they are currently backed by the private equity firm Altor and the esteemed music producer Max Martin.

About the role

We are looking for a Data Engineer ready to embark on an exciting journey to enhance Audiowell’s data platform. You will work with organizing, scrubbing, and unleashing vast volumes of data supporting the company’s data-driven decision-making. You’ll be part of a small tight-knit team, where decisions are made swiftly, and feedback loops are short.

What you’ll be doing: 

  • Develop and maintain databases and data storage solutions to store and organize data in a structured and scalable manner.
  • Construct ETL processes and data pipelines to collect and integrate data from various sources.
  • Fine-tune databases and data pipelines to ensure efficiency and swift access to data.
  • Work closely with other team members to understand their needs and ensure that the data infrastructure meets requirements.
  • Construct scalable and flexible systems capable of growing with Audiowell’s evolving data management needs.
  • Implement methods to ensure data quality and reliability through monitoring and testing.

About you 

We hope and believe that you’re a passionate music enthusiast who enjoys the occasional office jam session with colleagues. But beyond that, we think you’ve got the following skills up your sleeve:

  • Experience working with the GCP ecosystem or similar cloud providers to build and maintain data infrastructure.
  • Well-versed with Python, Pandas, Docker, Apache Beam or Apache Airflow, SQL, Git.
  • Strong expertise in designing and optimizing databases.
  • Experience in building and maintaining data pipelines.
  • Proactive with the ability to work independently, thriving in a smaller team with swift decision-making processes.
  • Proficient in solving complex problems related to data management.

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