Senior Data Engineer - Catalog (m/f/d)
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 Us** Job Description 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.
- 5+ years of experience in Data Engineering
- Familiarity with data quality frameworks and best practices.
- Solid experience with Python, SQL, BigQuery, Spark/Scala , ETL
- Experience with entity matching, data reconciliation or data science applied to quality problems is a strong plus.
- Proactive, organised and with strong team spirit
- Passion for music and improving user experience through better metadata.
- Fluent in English
If this role speaks to you and aligns with your interests and capabilities, even if you don't meet 100% of the qualifications listed, please give it a try and tell us more! #BeYou Additional Information At Deezer, you can be your true self as we believe that #everyvoicematters. We strive to build an inclusive culture and foster a diverse environment. Because we care and want to ensure each employee feels welcome and safe at work, we continuously focus on fighting biases and helping diverse teams work well together through multiple learning opportunities, e-learnings and workshops right from the onboarding :
- Regular Diversity & Inclusion internal and external talks
- Dedicated employee work streams on Gender equity, Ethnicity & Culture, Disability and LGBTQ+
- Multiple e-learnings and mandatory training sessions for all managers
- English and French courses for all, so that everyone can connect and feel included
- A Deezer premium family account for free
- Access to gym classes
- Join over 70 Deezer Communities to connect beyond your day-to-day work, share passions, learn from each other and #Belong
- Deezer parties several times a year and drinks every thursday
- Allowance for sports, travelling and culture
- Meal vouchers
- Mental health and well-being support from Moka.Care
- Great offices always located in dynamic and attractive districts, whether in Paris, London or Sao Paulo!
- Hybrid remote work policy
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