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.