we are a world-leading sports data provider, trusted by sportsbooks worldwide to deliver real-time data with unmatched accuracy and reliability. With technology that drives smarter trading and deeper engagement, we empower bookmakers to grow, innovate, and stay ahead of the game.
If youre passionate about sports and technology and want to make your mark in a fast-moving industry, don't miss this chance! Step onto the field with us and help build the future of sports data We are looking for a talented Senior Data Engineer.
What Youll Do:
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.
If youre passionate about sports and technology and want to make your mark in a fast-moving industry, don't miss this chance! Step onto the field with us and help build the future of sports data We are looking for a talented Senior Data Engineer.
What Youll Do:
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.
Bonus Points if you have:
Experience with designing and implementing big data infrastructure.
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.
Bonus Points if you have:
Experience with designing and implementing big data infrastructure.
This position is open to all candidates.
