Data Engineer

WSC Sports, the pioneer in AI-powered sports content technology, empowers their clients world-wide to connect with their fans through AI-tailored sports content experiences. WSC Sports’ platform automates the creation, management and distribution of content, enabling sports rights holders to expand reach, grow fan bases, and unlock revenue opportunities across digital platforms.

Why WSC Sports:

You’ll work in an awesome environment alongside some of the most innovative people in the industry, using cutting-edge technologies and tools (video editing, Gen AI, data, etc.). At WSC Sports, you have the opportunity to directly influence the products and tools used by our clients, including sports giants such as the NBA, Bundesliga, LaLiga, ESPN - and that’s just the beginning of what WSC Sports has to offer! Join us and be a part of the best team in tech as we Fuel the Fandom worldwide.

What you’ll do:

Design and development of scalable and efficient Data Pipelines and Models
Develop and implement ETL processes to ensure efficient loading of data from various sources
Implement best practices for data pipelines, data warehouse and database performance tuning
Write high-quality, maintainable code in a rich data environment
Work closely with Product, R&D, Operations, and Business, and external teams to ensure seamless integration and delivery of data solutions

Requirements:

What you’ll need:

BSc in Computer Science or an equivalent background
3+ years of prior experience as a Data Engineer
Experience building cloud-scalable, real-time and high-performance Data infrastructure and pipelines Solutions
Excellent proficiency in Python and Airflow
Proficient in data modeling, ETL development and DWH methodologies
Strong SQL skills and experience working with Snowflake or similar DB
Prior experience working with Kubernetes, Docker – Big Advantage
Excellent communication and collaboration skills

Work Model:
Hybrid