Data Engineer

TECHNICAL SKILLS: Proficiency in Big Data technologies and data ingestion/processing frameworks (Spark, Airflow, Hadoop, etc.). Strong experience in database management (SQL, NoSQL) and cloud platforms (AWS, Azure, GCP). Excellent command of no-code and low-code iPaaS / ETL solutions (Workato, Zapier, Power Automate, Informatica). Knowledge of web scraping techniques. Excellent understanding of data pipelines. Proficiency in Python, R, and SQL (Scala is a plus). Familiarity with best practices in monitoring, CI/CD, and data security. Proven experience in deploying and managing data visualization tools (Power BI, Tableau, Looker, etc.). PROFILE: Engineering degree with a specialization in Data Science, Statistics, or Computer Science, or a Master’s degree in Data Engineering / Data Science / Big Data. 3 to 5 years of experience in a similar role, preferably in the sports sector. Strong sense of confidentiality and professional ethics. Analytical mindset, scientific rigor, methodical approach, and ability to anticipate and abstract. Strong communication and listening skills; team player with the ability to simplify technical concepts. Curiosity and a strong interest in technological innovation. Fluent in English (mandatory); proficiency in an additional language is a plus.

Location: Boulogne-Billancourt, FR

Posted Date: 6/19/2025