The team

The Data Platform team is embedded within the Core Product Startup which builds and maintains Deezer’s applications.

The Data Platform mission is to provide Deezer teams with trusted data, innovative data solutions that are easy to use and understand. It plays a key role, being responsible for the storage, processing, and exploration of all data collected at Deezer. We work on processing terabytes of data each day, enabling data scientists and analysts to retrieve valuable information from historical and real-time data in a resource-effective way.

What you will do:

• Design & develop reliable data pipelines and be accountable for them
• Participate in the ideation process with our product managers & tech leaders
• Participate in the data community by collaborating with other data engineers, analysts and scientists to define simple & scalable architectures
• Ensure, with the support of the tech leader, that all the code written and the architecture is of high quality and scalable
• Improve the codebase by refactoring legacy code and systems
• Participate in projects planning, standups and retrospectives
• Being a technical support for your stakeholders
• And much more!

Remote policy

You can work up to 10 days per month remotely (= 50% of the time)

LIFE @ DEEZER PARIS

• Start-up environment and philosophy.
• Highly motivated and product-focused people ready to drive innovation.
• In-house Deezer Sessions with your favourite artists, gig tickets.
• Hackathons & meetups.
• Friday drinks, summer and winter parties.
• A stocked kitchen with free drinks and snacks.
• Areas to relax and collaborate with beanbags, guitars and table football.
• An ‘at home’ vibe, with great outdoor spaces.
• Gym access, with lunch-time yoga, pilates and thai boxing classes.

If you feel like this is the right opportunity for you, press play!

We are an equal opportunity employer.

What we are looking for:

• 3+ years experience in software engineering using Big Data technologies
• Strong engineering skills (code design and quality, tests, reviews, logging, monitoring, continuous integration, DevOps)
• Proven experience in building and maintaining data pipelines in production
• Ability to understand & explain complex architectures
• Rigorous and enthusiastic team-player, passionate about problem solving
• Proficient in either Java, Scala or Python
• Fluent in English

Our stack

• ETL: DataProc (Spark + Scala mainly), BigQuery
• Python
• Data Warehouse : GCS / Big Query
• Github
• Cloud management: Terraform, Ansible
• Google Cloud Platform + Kubernetes on Premise
• Monitoring: Grafana