LSports is the leading global provider of sports data, dedicated to revolutionizing the industry through innovative solutions. We excel in sports data collection and analysis, advanced data management, and cutting-edge services like AI-based sports tips and high-quality sports visualization. As the sports data industry continues to grow, LSports remains at the forefront, delivering real-time solutions.

If you're passionate about both sports and technology and want to drive the sports-tech and data industries into the future, we invite you to join the team! We are looking for a highly motivated Senior Data Engineer.

Responsibilities:

• Building a robust data collection and measurement infrastructure for the department and linked products
• Taking ownership of major projects from inception to deployment.
• Implementing a systematic approach for saving and managing scraper data.
• Enabling efficient data access for support teams
• Architecting simple yet flexible solutions and then scaling them as we grow.
• Establishing a strong data framework to support the department and linked products future developments
• Collaborating with cross-functional teams to ensure data integrity, security, and optimal performance across various systems and applications.
• Staying current with emerging technologies and industry trends to recommend and implement innovative solutions that enhance data infrastructure and capabilities.
  
  

Requirements:

• 5+ years of experience as a Data Engineer.
• 3+ years of experience using Spark.
• Experience building and maintaining production grade data pipelines, and working in distributed architectures.
• Knowledge and understanding of work in a modern CI environment: Git, Docker, K8S.
• Experience with ETL tools: AWS Glue/Apache Airflow/Prefect, etc.
• Experience with big data like Iceberg, ClickHouse or similar.
• Experience with Kafka.
  
  

Advantages:

• Experience with designing and implementing big data infrastructure