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 Experience building
end-to-end ETL pipelines Experience utilizing 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 A strong
interest for sports and sports betting, with an emphasis on Tennis.
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
Swish Analytics is an Equal Opportunity Employer. All candidates
who meet the qualifications will be considered without regard to
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. The position responsibilities are not limited to the
responsibilities outlined above and are subject to change. At the
employer’s discretion, this position may require successful
completion of background and reference checks.

📌 Data Engineer - EU (Cataluña)
🏢 Swish Analytics
📍 Cataluña