Data Engineer - Malta

The Swish Analytics team is seeking Data Engineers based in Europe to have a direct impact on the infrastructure and delivery of their core consumer and enterprise data offerings. The role involves supporting production systems, architecting low-latency, real-time analytics systems, building new sports betting data products, integrating large and complex real-time datasets, and developing production-level predictive analytics. This is a remote position.

Support production systems and help triage issues during live sporting events

Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production

Build new sports betting data products and predictions offerings

Integrate large and complex real-time datasets into new consumer and enterprise products

Develop production-level predictive analytics

• BS/BA degree in Mathematics, Computer Science, or related STEM field
• Minimum of 2+ years of demonstrated experience writing production level code (Python)
• Proficiency in Python and SQL (preferably MySQL)
• Demonstrated experience with Airflow
• Demonstrated experience with Kubernetes
• Experience building end-to-end ETL pipelines
• Experience utilizing REST APIs

• Fully-automated sports data delivery frameworks
• Opportunity to contribute to the design and implementation of new frameworks
• Competitive salary and benefits package
• Opportunity to work with enterprise-grade APIs
• Opportunity to work with cutting-edge technologies like Airflow and Kubernetes
• Experience building end-to-end ETL pipelines
• Utilization of REST APIs
• Experience with version control (git), continuous integration and deployment, shell scripting, and cloud-computing infrastructures (AWS)
• Experience with web scraping and cleaning unstructured data
• Knowledge of data science and machine learning concepts
• Strong interest in sports and sports betting, with an emphasis on Tennis
• Opportunity to work with complex datasets
• Equal Opportunity Employer with no discrimination based on race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law.