Data Science Engineer


  • Design and implement Data Driven services for game operations;
  • Design, monitor and improve Big Data solutions in batch or flow processing in order to keep our analytical stack at the cutting edge of technology;
  • Optimize the performance of data pipelines in terms of time and cost;
  • Write and maintain the appropriate technical documentation;
  • Participate in the data quality process in collaboration with the QA team;
  • Perform other related duties.

Experience and qualifications

  • At least 5 years of relevant or equivalent experience in the field of mobile gaming or related field.
  • Mastery of several database systems in the cloud such as Google Big Query, Snowflake, Redshift or equivalent;
  • Experience in design / architecture and production of data science models;
  • Experience with Google's Big Data cloud environment (AI Platform, Dataflow, Dataproc, PubSub etc.);
  • Significant experience in batch data processing;
  • Mastery of Java, SQL and Python (Scala, Spark or NodeJs are a plus);
  • Experience in CI / CD development is a plus (Team City, Terraform, Ansible, Spinnaker, Kubernetes, itsio etc.);
  • Experience with a reporting tool is a plus (Looker, Tableau etc.);
  • Experience in data flow processing is a plus;
  • Experience in the application of governance and data security (GDPR etc.) is an asset;
  • Concrete application of DevOps concepts in a Data Driven service context is a plus;
  • Knowledge of Gitlab version control tools;

Interpersonal qualities

  • Able to present key concepts related to data science to a variety of audiences;
  • Ability to solve complex problems;
  • Rigorous and precise;
  • Operational impact oriented, resourceful and able to take initiative;
  • Be able to adapt in an environment where priorities may change regularly;
  • Good learning ability;
  • Being able to show humility and help move the team forward.

Join us