Company Overview Swish Analytics is a sports
analytics, betting and fantasy startup building the next generation
of predictive sports analytics data products. We believe that
oddsmaking is a challenge rooted in engineering, mathematics, and
sports betting expertise; not intuition. 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. 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. Job Description 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. 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.
This is a remote position. Duties 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
into enterprise-grade APIs Contribute to the design and
implementation of new, fully-automated sports data delivery
frameworks Requirements 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

📌 Data Engineer (Cataluña)
🏢 Swish Analytics
📍 Cataluña