Senior Data Scientist

Key Responsibilities

• Design, build, and maintain scalable data pipelines and ETL processes across cloud platforms.
• Lead the architecture and implementation of DAZN’s data infrastructure to support analytics, ML, and reporting.
• Collaborate with data scientists, analysts, and product teams to deliver high-quality, reliable datasets.
• Optimize data storage, processing, and performance for large-scale, real-time data streams.
• Ensure data quality, governance, and security across all data environments.
• Mentor and guide a team of data engineers, fostering best practices and technical excellence.
• Evaluate and adopt new data technologies to continuously improve DAZN’s data ecosystem.
  
  

Skills, Knowledge & Expertise

• Strong experience with Python, SQL, and modern data engineering frameworks.
• Expertise in building and optimizing ETL/ELT pipelines and data workflows.
• Hands-on experience with cloud data platforms (e.g., AWS, GCP, or Azure).
• Proficiency in big data technologies like Spark, Databricks, or Kafka.
• Solid understanding of data modeling, data warehousing, and distributed systems.
• Experience with orchestration tools such as Airflow, dbt, or similar.
• Knowledge of data governance, security, and best practices for scalable data systems.
• Familiarity with CI/CD, infrastructure-as-code, and DevOps concepts.
• Excellent problem-solving, leadership, and collaboration skills.