Remote EU Data Engineer — Real-Time Sports Analytics

Swish Analytics; A distancia; EUR 45.000 - 75.000; Jornada completa

Descripción de la vacante

A sports analytics firm is looking for a Data Engineer to impact core data offerings and support non-US sports coverage. This remote role involves architecting low-latency systems, building new products, and supporting live event data. Candidates should have a BS/BA in a STEM field, and proficiency in Python and SQL, along with experience in developing ETL pipelines. An interest in sports betting, especially Tennis, is important for the role.

Formación

• Minimum of 2+ years of demonstrated experience writing production level code (Python).
• Experience building end-to-end ETL pipelines.
• Knowledge of data science and machine learning concepts.

Responsabilidades

• Support production systems and help triage issues during live sporting events.
• Architect low-latency, real-time analytics systems.
• Build new sports betting data products and predictions offerings.

Conocimientos

Proficiency in Python

Proficiency in SQL

Experience with Airflow

Experience with Kubernetes

Interest in sports and sports betting

Educación

BS/BA degree in Mathematics, Computer Science, or related STEM field

Herramientas

AWS

git

Descripción del empleo

A sports analytics firm is looking for a Data Engineer to impact core data offerings and support non-US sports coverage. This remote role involves architecting low-latency systems, building new products, and supporting live event data. Candidates should have a BS/BA in a STEM field, and proficiency in Python and SQL, along with experience in developing ETL pipelines. An interest in sports betting, especially Tennis, is important for the role.