![]() ![]() 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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