Backend Software Engineer - Sports Data & APIs

Ellipse; Greater London; On-site; GBP 45,000 - 65,000; Full time

Job summary

A leading sports data and analytics company is seeking a Software Engineer (Backend) to transform large datasets into engaging insights for data-driven decisions in sports. This role involves developing and deploying APIs, managing databases, and building ETL pipelines. The ideal candidate should have at least 3 years of experience in Python, familiarity with AWS and SQL, and a strong interest in sports, particularly tennis. Join a dynamic team at the intersection of technology and sports analytics.

Qualifications

• At least 3 years experience in Python or similar language.
• Experience with cloud solutions, especially AWS.
• Strong knowledge of SQL and relational databases.
• Familiarity with ETL systems and data modelling.

Responsibilities

• Develop innovative insights and graphics for tennis experts.
• Design and deploy APIs for broadcasters and rights holders.
• Manage the central database and research new technologies.
• Build and maintain ETL pipelines from various sources.
• Ensure data quality for accuracy and completeness.

Skills

Python or similar programming language

Flask or similar framework

AWS data services

SQL and complex relational databases

ETL systems and data modelling

Scalable API development

Linux server environments

Version control systems (Git)

Unit/integration testing

CI/CD pipelines

Message broker technologies (Redis, Kafka)

Docker and Kubernetes

Job description

A leading sports data and analytics company is seeking a Software Engineer (Backend) to transform large datasets into engaging insights for data-driven decisions in sports. This role involves developing and deploying APIs, managing databases, and building ETL pipelines. The ideal candidate should have at least 3 years of experience in Python, familiarity with AWS and SQL, and a strong interest in sports, particularly tennis. Join a dynamic team at the intersection of technology and sports analytics.