Senior Data Engineer - Catalog M H/F - 75

LIVE THE MUSIC WITH US

From a pioneer tech start-up created in 2007, Deezer has become one of the first French unicorns and the second largest independent music streaming platform in the world.
At eighteen years old, we're only just coming of age. Now listed on #EuroNext, Deezer is a rapidly-growing, cutting-edge player in the music streaming market. If you want an environment where you can make your voice heard and be at the forefront of music and tech, look no further!

We believe music is all about embracing the things that make us different.
Deezer is a vibrant community that celebrates uniqueness, diversity and individuality, and thrives on collaboration.
Our international and passionate teams pride themselves on being at the forefront of the music experience, going beyond streaming and helping the world to Live the Music. We're constantly evolving alongside our customers, partners, artists and employees - striving to make Deezer the most personal and innovative streaming service in the world.

Ready for an electrifying journey? Apply now and do your part in bringing extraordinary music experiences to people's lives!
****Join the Catalog team and be part of Deezer's next steps.

We ingest, reconcile and enrich every piece of content available on the service, from multiple sources.

Our mission is to ensure that Deezer's catalog is complete, accurate and reliable, so that every user can enjoy the best possible music experience.

We build the pipelines and tools that guarantee metadata quality at scale - from entity matching to artist disambiguation.

What you'll do:

- Design and maintain ETL pipelines to ingest and process large volumes of catalog data from disparate sources.
- Ingest and match entities like artists, albums, concerts and lyrics
- Develop solutions to improve metadata quality at scale
- Contribute to projects like:

- Artist disambiguation and source-of-truth building.
- Album grouping via ML models in collaboration with Data scientists
- Build analytics and quality KPIs to monitor catalog performance
- Collaborate closely with Data Scientists, Researchers, Product Managers and partners to implement new solutions.