Basketball / American Football Data Engineer

Basketball / American Football Data Engineer SkillCorner collects sports data 100% automatically from a single camera feed. The company, now a global leader in its field of expertise, develops Computer Vision and Machine Learning algorithms that can detect all the moving objects (each player, the ball and the referee) in the image, locate them on the pitch, track them frame by frame, and recognize them. From this raw tracking data, SkillCorner produces performance indicators, game intelligence metrics, and visualizations that are used by clubs, national federations, and player agencies. SkillCorner covers more than 150 competitions (both women’s and men’s), holds over 100 billion data points on more than 100 000 professional players. Trusted by more than 250 football, basketball and American football teams worldwide, SkillCorner is redefining performance analysis, scouting and recruitment workflows. HOW TO APPLY: If you’re interested in this position, please fill in this form. Only applicants that have responded to the form will be considered. Due to the high volume of interest, we can only provide personalized responses to candidates selected for an interview. Thank you for your understanding. ONLY FORM APPLICATIONS WILL BE REVIEWED. SkillCorner is hiring a data engineer to support its rapidly expanding US sports business. In this role, you will work with the analysis and research team, while collaborating heavily with the engineering and business teams to elevate the value of SkillCorner’s cutting‑edge tracking and event data. You’ll own and develop the internal data infrastructure for internal and external teams to work with US Sports data. Core Responsibilities Develop and maintain internal tools (GCP Pipelines, Streamlit) to store, organize, distribute, and maximize the accessibility of SkillCorner data. Develop an external Streamlit‑based WebApp, building on existing resources. Work closely with teammates to distribute those tools through open platforms like GitHub, Colab etc. Work with US Sports analyst to implement and scale the usage of new metrics, insights and frameworks. Support SkillCorner US Sports clients with data engineering matters when appropriate. Qualifications Undergraduate or graduate degree in data science, computer science, engineering, or a related field. Strong knowledge of basketball analytics, including key metrics, trends, and performance evaluation techniques. Basic knowledge of American football analytics, including key metrics, trends, and performance evaluation techniques. Proficiency in Python, SQL, and Cloud Tools. In particular, GCP, BigQuery and Streamlit are a big plus. 2+ years of experience in a data engineering / webapp development role. Experience working in ambiguous environments with minimal supervision. Excellent analytical mindset, problem‑solving skills, and ability to work collaboratively in teams. What Will Make You Stand Out A unique combination of basketball expertise and data engineering skills, with a demonstrated passion for data and sports. A proactive approach to developing new metrics, visualizations, and tools to evaluate players, teams, and tactical trends. Comfort working remotely while maintaining high productivity and effective communication. Initial FORM and CV screening. Introduction chat and fit assessment. Home case study and presentation. Seniority level Entry level Employment type Full‑time Job function Other Industries IT Services and IT Consulting Referrals increase your chances of interviewing at SkillCorner by 2×. Boulogne‑Billancourt, Île‑de‑France, France #J-18808-Ljbffr