![]() Swish Analytics is an Equal Opportunity Employer. An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College Basketball, and the ability use your knowledge of the sport to inform your work with complex datasets A strong interest for sports and sports betting, with an emphasis on Tennis. ![]() Knowledge of data science and machine learning concepts.Experience with web scraping and cleaning unstructured data.Experience with version control (git), continuous integration and deployment, shell scripting, and cloud-computing infrastructures (AWS).Experience building end-to-end ETL pipelines.Demonstrated experience with Kubernetes.Proficiency in Python and SQL (preferably MySQL) Demonstrated experience with Airflow.Minimum of 2+ years of demonstrated experience writing production level code (Python).BS/BA degree in Mathematics, Computer Science, or related STEM field.Contribute to the design and implementation of new, fully-automated sports data delivery frameworks.Develop production-level predictive analytics into enterprise-grade APIs.Integrate large and complex real-time datasets into new consumer and enterprise products.Build new sports betting data products and predictions offerings.Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production.Support production systems and help triage issues during live sporting events.We’re a team passionate about accurate predictions and real-time data, and hope you find satisfaction in building new products with the latest and greatest technologies. The Swish Analytics team is seeking Data Engineers based in Europe to have a direct impact on the infrastructure and delivery of our core consumer and enterprise data offerings as well as helping support our coverage of non-US sports. ![]() Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise not intuition. Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products.
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